Organometallic Complexes

Tutorial Created with Software Release: 2025-3
Topics: Energy Capture & Storage, Metals, Alloys & Ceramics, Organic Electronics, Thin Film Processing
Methodology: Molecular Quantum Mechanics
Products Used: Jaguar, MS Maestro

Tutorial files

14 MB

This tutorial is written for use with a 3-button mouse with a scroll wheel.
Words found in the Glossary of Terms are shown like this: Workspacethe 3D display area in the center of the main window, where molecular structures are displayed

 

Tip: You can hover over a glossary term to display its definition. You can click on an image to expand it in the page.
Abstract:

This tutorial introduces tools for building and enumerating organometallic complexes. In addition, workflows are demonstrated for performing and analyzing geometry optimizations for organometallic complexes.

Tutorial Content
  1. Introduction to Building and Enumerating Organometallics

  1. Creating Projects and Importing Structures

  1. Building a Single Complex

  2. Building a Dimeric Complex
  1. Enumerating Complexes: Stability Analysis

  1. Enumerating Complexes: Using Ligand Libraries

  1. Optimizing and Analyzing the Enumerated Structures

  1. Conclusions and References

  1. Glossary of Terms

1. Introduction to Building and Enumerating Organometallics

Organometallic complexes consist of a metal surrounded by organic-based ligands. In coordination chemistry, a ligand is an ion, molecule or functional group that binds to a central metal atom to form a coordination complex. An organometallic complex in which all of the ligands are the same is referred to as homoleptic (Figure 1, left), whereas a complex having two or more types of ligands is referred to as heteroleptic (Figure 1, right).

Figure 1: example organometallic titanium complexes (X, Y = monoanionic ligands)

Such complexes are used as metal sources in the chemical vapor deposition and atomic layer deposition (ALD) of thin films in materials science. They are also used as catalysts in homogeneous catalysis and in biological systems.  There is ongoing research into understanding the structure and properties of organometallic complexes, as well as in discovering new complexes that have target properties that are required for these various applications.

Materials Science (MS) Maestro facilitates exploration in these various research directions. Tools are available for constructing single complexes as well as for enumerating complexes to generate exhaustive libraries. Additionally, quantum mechanical (QM) calculations can be performed to predict properties, and the outputs can be visualized and analyzed in MS Maestro.

This tutorial demonstrates several fundamental tools and methods for working with organometallic complexes in MS Maestro. First, the Build Single Complex panel is introduced for constructing either monomeric or dimeric organometallic complexes. Then, the Complex Enumeration and Stability Analysis tool is presented. It is used in two ways: first, to generate a small family of aluminum complexes for stability analysis (i.e. determining which complex in a series is most stable), and second, to efficiently generate a large series of titanium complexes from a ligand library. Finally, the QM Multistage Workflow panel is demonstrated for performing a geometry optimization on the series of titanium complexes with Jaguar. Various properties are computed and analyzed for the titanium complexes, including atomic charges and polarizability.

For working through this tutorial, it is recommended that you have some background in QM calculations, as described in the Introduction to Geometry Optimizations, Functionals and Basis Sets tutorial. If you are interested in related applications, e.g. transition state searches, bond and ligand dissociation, beta elimination reactions or optoelectronics, visit the Conclusion and References section at the end of the tutorial for next steps.

2. Creating Projects and Importing Structures

At the start of the session, change the file path to your chosen Working Directorythe location where files are saved in MS Maestro to make file navigation easier. Each session in MS Maestro begins with a default Scratch Projecta temporary project in which work is not saved, closing a scratch project removes all current work and begins a new scratch project, which is not saved. A MS Maestro project stores all your data and has a .prj extension. A project may contain numerous entries corresponding to imported structures, as well as the output of modeling-related tasks. Once a project is saved, the project is automatically saved each time a change is made.

Structures can be built in MS Maestro or can be imported using File > Import Structures (or drag-and-dropped), and are added to the Entry Lista simplified view of the Project Table that allows you to perform basic operations such as selection and inclusion and Project Tabledisplays the contents of a project and is also an interface for performing operations on selected entries, viewing properties, and organizing structures and data. The Entry Lista simplified view of the Project Table that allows you to perform basic operations such as selection and inclusion is located to the left of the Workspacethe 3D display area in the center of the main window, where molecular structures are displayed. The Project Tabledisplays the contents of a project and is also an interface for performing operations on selected entries, viewing properties, and organizing structures and data can be accessed by Ctrl+T (Cmd+T) or Window > Project Table if you would like to see an expanded view of your project data.

  1. Double-click the Materials Science icon

Figure 2-1. Change Working Directory option.

  1. Go to File > Change Working Directory
  2. Find your directory, and click Choose
  3. Pre-generated input and results files are included for running jobs or examining output. Download the zip file here: schrodinger.com/sites/default/files/s3/release/current/Tutorials/zip/builders_organometallic.zip
  4. After downloading the zip file, unzip the contents in your Working Directorythe location where files are saved for ease of access throughout the tutorial

Figure 2-2. Save Project panel.

  1. Go to File > Save Project As
  2. Change the File name to organometallics_tutorial, click Save
    • The project is now named organometallics_tutorial.prj

3. Building a Single Complex

In this section, we will learn to build a simple mononuclear organometallic complex, AlMe2Cl (Me = CH3 = methyl), using the Build Single Complex panel. Dimethyl aluminum chloride is an interesting complex in that it is employed in catalysis (typically alkene polymerization), it is highly reactive (with potential application in ALD), and it is susceptible to potential disproportionation (which we will investigate further in Section 5).

Though not demonstrated explicitly herein, two other approaches for preparing models of organometallic complexes are worth mentioning:

  1. Importing a structure file (e.g. .xyz, .cif) directly into MS Maestro via File > Import Structures (or by dragging and dropping a file).
  2. Building a structure using the 3D Builder. Note that building a simple organometallic complex in this way is possible, but a bit laborious.

In addition, complexes can be generated via enumeration tools. This will be demonstrated in Section 5 and Section 6.

Figure 3-1. Complex information.

  1. Go to Tasks > Materials > Structure Builders > Single Complex

First we will define the metal and its coordination geometry in the Complex information section:

  1. Change Metal to Al
  2. For Geometry, choose Trigonal planar
  3. Nuclearity should be Monomer
  4. Isomer will default to none

Figure 3-2. Using the Ligand Template dropdown.

Now we will define the ligands:

  1. Use the Template dropdown menu to choose methyl (Me)

Note: You can narrow down the options by clicking the funnel icon and filtering for “Family: alkyl.” Remember to untick the filter before searching for the next ligand.

 

Note: In the Build Single Complex panel, we use R groups to designate the attachment point to the metal center. The methyl ligand is ‘monodentate,’ as it attaches to the metal via one atom. Multidentate ligands can be prepared by using multiple R groups. We will see this later in the tutorial.

 

Note: The Template dropdown includes ~400 standard organometallic ligands. The sketcher can also be used to define any ligand. If you draw ligands that you are going to use frequently, use the Save New Template and Manage Templates buttons to save ligands.

Figure 3-3. Adding two methyl ligands.

The Ligands section of the panel is used to define the coordination numbers and sites.

  1. Change Copies to 2
    • The panel updates  Ligands will occupy: 2 of 3 available sites on each metal

Figure 3-4. Choosing a chloride ligand.

  1. Click on the add button () to add a ligand row.
  2. Choose chloro (Cl) from the Template dropdown
  3. Maintain Copies: 1 for the new ligand
    • The panel updates  Ligands will occupy: 3 of 3 available sites on each metal

 

Note: The ligands demonstrated in this example are monoanionic ligands. Neutral ligands forming dative bonds should be drawn in the same way. Generally, there is no need to specify the M-L bond type.

Figure 3-5. Adding one chloride ligand and generating the complex.

We have now defined AlMe2Cl in the Build Single Complex panel.

 

  1. For Project Entry Title, type Al_Me_2_Cl
  2. For Clean geometry with, choose xTB
    • This will optimize the input geometry of the complexes with GFN2-xTB
  3. Click Create
  4. Close the Build Single Complex panel

Figure 3-6. AlMe2Cl in the entry list and workspace after building.

A new entry is added to the entry list titled Al_Me_2_Cl. Feel free to stylize the structure however you prefer. In the Figure, the representation is updated to ball-and-stick.

 

It is important to note that this structure is only optimized using GFN2-xTB. We will, however, optimize the structure using DFT as part of the workflow in Section 5. For additional introductory concepts regarding QM geometry optimizations, the following tutorials are recommended:

4. Building a Dimeric Complex

In this section, we will explore the options for building dimers with two metal centers. The first case is where the metals are directly bonded. In the second case, the metal centers are bridged by a bidentate ligand (kappa-2-denticity) that uses each of its two bonding sites to connect to a metal center.

Figure 4-1. Complex information for dimer.

Our first target complex is Mn2(CO)10.

  1. Go to Tasks > Materials > Structure Builders > Single Complex
  2. Reset the panel to remove the AlMe2Cl complex information from the previous section.

First we will define the metal and its coordination geometry in the Complex information section:

  1. Change Central atom to Mn
  2. For Geometry, choose Octahedral
  3. For Nuclearity, choose Dimer
    • In this option, the two metal atoms are directly bonded to one another

Figure 4-2. Using the Ligand Template dropdown.

Now we will define the ligands:

  1. Use the Template dropdown menu to choose carbonyl (CO)

 

Figure 4-3. Adding five carbonyl ligands.

The Ligands section of the panel is used to define the coordination numbers and sites.

  1. Change Copies to 5
    • This is the number of terminal ligands per metal.
    • The panel updates Ligands will occupy: 5 of 5 available sites on each metal

Figure 4-4. Generating the complex.

We have now defined Mn2(CO)10 in the Build Single Complex panel.

  1. For Project Entry Title, type Mn_2_CO_10
  2. For Clean geometry with, choose xTB
    • This will optimize the input geometry of the complexes with GFN2-xTB
  3. Click Create
  4. Close the Build Single Complex panel

Figure 4-5. Mn2(CO)10 in the entry list and workspace after building.

A new entry is added to the entry list titled Mn_2_CO_10. Feel free to stylize the structure however you prefer. In the Figure, the representation is updated to ball-and-stick.

 

It is important to note that this structure is only optimized using GFN2-xTB. We will demonstrate how to optimize a structure using DFT in  Section 5, using AlMexCly as an example.

Figure 4-6. Complex information for bridged dimer.

Next, we will build a bridged dimer Au2(OAc)2Me4. Here, the Au atoms are not directly bonded, but rather are connected via the bidentate acetato ligand.

  1. Go to Tasks > Materials > Structure Builders > Single Complex
  2. Reset the panel to remove the Mn2(CO)10 complex information.

First we will define the metal and its coordination geometry in the Complex information section:

  1. Change Central atom to Au
  2. For Geometry, choose Square planar
  3. For Nuclearity, choose Bridged dimer

Figure 4-7. Adding ligands to bridged dimer

Now we will define the ligands:

  1. Under Bridged Ligand Name add 2 copies of acetato (OAc)
    • This is the number of bridging ligands for the entire complex
  2. Under Terminal Ligand Name add 2 copies of methyl (Me) per metal center.
    • This is the number of terminal ligands per metal
    • The panel updates: Ligands will occupy: 4 of 4 available sites on each metal

Figure 4-8. Generating the complex

We have now defined Au2(OAc)2Me4 in the Build Single Complex panel.

  1. For Project Entry Title, type Au_2_OAc_2_Me_4
  2. For Clean geometry with, choose xTB
    • This will optimize the input geometry of the complexes with GFN2-xTB
  3. Click Create
  4. Close the Build Single Complex panel

Figure 4-9. Au2OAc2Me4 in the entry list and workspace after building.

A new entry is added to the entry list titled Au_2_OAc_2_Me_4. Feel free to stylize the structure however you prefer. In the Figure, the representation is updated to ball-and-stick.

 

It is important to note that this structure is only optimized using GFN2-xTB. We will demonstrate how to optimize a structure using DFT in  Section 5, using AlMexCly as an example

5. Enumerating Complexes: Stability Analysis

In this section, we learn to use the Complex Enumeration and Stability Analysis panel to efficiently generate all of the possible AlMexCly (x + y = 3) complexes from the single complex prepared in Section 3. In the same workflow, we will perform quantum mechanical density functional theory (DFT) calculations on the generated complexes to analyze their relative stabilities.

Figure 5-1. Opening the Complex Enumeration and Stability Analysis panel and changing to Project Table ligand selection.

  1. Select(1) the atoms are chosen in the Workspace. These atoms are referred to as "the selection" or "the atom selection". Workspace operations are performed on the selected atoms. (2) The entry is chosen in the Entry List (and Project Table) and the row for the entry is highlighted. Project operations are performed on all selected entries and includethe entry is represented in the Workspace, the circle in the the Al_Me_2_Cl entry in the entry list and workspace
  2. Go to Tasks > Materials > Enumeration > Complexes
  3. Choose Project Table for Select ligands from
    • The panel updates to match that which is shown in the Figure

Before proceeding, let’s describe the Complex Enumeration and Stability Analysis panel in a bit more detail. For a comprehensive overview, refer to the help documentation

  • Primary ligand source enables the generation of a set of ligands either from a Ligand library or the Project table
    • If Ligand library is selected, choose a library from the dropdown (update and create new libraries from the Modify Libraries button). This approach is demonstrated in Section 6
    • If Project table is selected, the set of ligands will be determined from whichever ligands are attached to the metal center in the specified entries. If one entry is selected, as demonstrated in this section, its ligands will be used for the enumeration. If multiple entries are selected, a library is generated from all of the ligands from all of the selections
  • The Secondary ligand source can be used to specify an exact number of Ligands per complex which will also be taken from a secondary source        
  • Use the Complex tab to define the Central atom (metal center) and the Geometry
    • Check Clean geometry with to force-field minimize or use xTB to minimize the enumerated complexes
    • Check Stability analysis with DFT to perform a QM calculation on each enumerated structure to compare their relative stabilities (demonstrated in this Section). If you are interested in properties beyond the stability analysis, we typically recommend enumerating and then using the QM Multistage Workflow panel for the DFT calculations as is demonstrated in Section 6
  • Use the Isomers tab to specify handling of various geometries, symmetries and orientations with respect to the expected enumeration output

Figure 5-2. Choosing Stability analysis.

  1. Check Stability analysis with DFT
    • Below the checkbox, Up to 8 structures will be optimized with DFT appears, indicating that this enumeration will generate up to 8 structures
  2. Ensure the Central atom is set to Al
  3. Click Jaguar Options

Figure 5-3. Setting the Jaguar Options.

  1. Change the Theory to B3LYP-D3
  2. Change the Basis set to LACVP**
  3. Click OK
    • The panel updates to show the selected functional and basis set

For more detailed discussion of Jaguar options, see the Introduction to Geometry Optimizations, Functionals and Basis Sets tutorial. For metal-containing systems, B3LYP-D3/LACVP** is a reasonable default for balancing accuracy and computational expense. Of course, many other combinations of functional and basis set will give good results.

Figure 5-4. Naming and running the job.

  1. Change the Job name to complex_enum_stability_Al
  2. Adjust the job settings () as needed
    • This job requires a CPU host. The job can be completed in about 10 minutes on a 12 CPU host
  3. If you would like to run the job yourself, click Run. Otherwise, import the provided Section_05 > complex_enum_stability_Al > complex_enum_stability_Al-out.maegz file
  4. Close the Complex Enumeration and Stability Analysis panel

Figure 5-5. The output of the enumeration and stability analysis.

When the job is complete or after importing, four new entries are added to the entry list for the four enumerated complexes (AlMe3, AlMe2Cl, AlMeCl2, AlCl3)

Because the Stability analysis with DFT option was chosen, these complexes have been optimized. Feel free to visualize the various structures in the workspace.

Figure 5-6. The Project Table with the Ligand exchange stability property shown.

  1. To view the relative energies of the complexes, go to the Project Table ()
  2. Scroll until you see the Ligand exchange stability (kcal/mol) property

 

By definition, all homoleptic complexes are assigned a stability value of zero, as is evident for AlMe3 and AlCl3 in this example.  Heteroleptic complexes may be more stable (stability < 0) or less stable (stability > 0) with respect to exchanging ligands with the homoleptic complexes.  In this example, the two heteroleptic complexes are more stable than the two homoleptic ones.  The most stable combination of ligands has the lowest (i.e. most negative) ligand exchange stability - AlMeCl2 in this example, albeit only slightly more favored than AlMe2Cl. See the help documentation for more detail on this calculation.

 

 

Note: These data are for monomeric gas phase structures. In solution and in the solid state, aluminum complexes such as these are known to form dimers or other clusters, and the exchange energies can be expected to be different.

6. Enumerating Complexes: Using Ligand Libraries

In this section, we learn to generate all of the possible complexes that can be obtained by combining a given metal center and any of the ligands from a library also using the Complex Enumeration and Stability Analysis panel.  This tool will generate both homoleptic complexes (all the same ligands, e.g. TiCl4) and heterolepticorganometallic compound having two or more types of complexes (different ligands in the same complex, e.g. Ti(Cl)2FBr). Homoleptic complexes alone can be generated with the same panel, or using the Custom R-Group Enumeration panel.

Figure 6-1. Opening the Complex Enumeration and Stability Analysis panel, resetting and changing to Ligand Library selection for ligands.

  1. Go to Tasks > Materials > Enumeration > Complexes
  2. Reset the panel by clicking the button in the bottom left corner of the panel () or using the job settings () dropdown
  3. Choose Library for Primary ligand source
    • The panel updates to match that which is shown in the Figure, though you may have different Ligand library options in your dropdown menu depending on your previous use of MS Maestro

Figure 6-2. Choosing the Anionic CVD Ligands library and opening the ligand creator.

In this mode, a ligand library is used for enumeration. Several ligand libraries are provided by default with MS Maestro.

 

  1. For this tutorial, start by selecting Anionic CVD ligands for the Ligand library
    • This library may in principle be used as is, but will produce a very large set of enumerated complexes.  We will therefore modify the library to make it smaller.
  2. To view and modify the ligands in the Ligand Library, next to Libraries, click Modify
    • The Ligand Creator panel opens with a 2D sketcher window

Figure 6-3. Managing Ligand Libraries.

  1. Switch to the Manage Ligands tab
    • A list of all the ligands in all available libraries is shown
  2. Uncheck all the ligand libraries except Anionic CVD ligands
    • Only the ligands in that library are shown
    • As before, the dummy atom R1 indicates where the ligand will be coordinated to the metal center
    • R2 is used for bidentatea single ligand which binds to a metal center via two atoms (e.g. ethylenediamine) ligands, and so on

 

Note: To read more about the Ligand Creator panel options, check the panel help documentation

Figure 6-4. Selecting and copying ligands from the existing library.

  1. For this tutorial, select the following four ligands from Anionic CVD ligands with Ctrl+Click (Cmd+Click on Mac): chloro, methyl, acetylacetonato, and diethylacetamidinato
    • Note that the ligands can be monodentatea single ligand which binds to a metal center via one atom (e.g. -CO, -Cl) (chloro, methyl here), bidentatea single ligand which binds to a metal center via two atoms (e.g. ethylenediamine) (acetylacetonato, diethylacetamidinato here) or haptic , etc. (e.g. cyclopentadienyl).
  2. Click More Actions and select Copy
    • The selected ligands are copied to the clipboard. We will add them to a new library shortly

Figure 6-5. Creating a new Ligand Library.

  1. At the top of the panel, click New…
    • New R-Group Library panel appears
  2. For Library name, input anionic_modified then click OK
    • A new library is created that is initially empty of any ligands

Figure 6-6. Pasting copied ligands to a new library.

  1. Click More Actions again and select  Paste

Figure 6-7. A new ligand library is created.

The four chosen ligands from Anionic CVD ligands are copied to the new library.

 

The new library is saved automatically.

 

  1. Close the Ligand Creator panel and go back to the Complex Enumeration and Stability Analysis panel

 

Note: Chemically, each of these ligands has a single negative charge (monoanionic). However, this panel does not keep track of molecular charge. The line drawings sometimes show positive charge (e.g. N on dimethylacetamidinato), but this does not in fact affect the charge state of the complex. 

 

Note: In addition to creating ligand libraries by copying and pasting from the provided libraries, new ligands can be drawn on the Create Ligands tab and added to custom libraries.

Figure 6-8. Refreshing and then choosing a custom Ligand library.

  1. Back in the Complex Enumeration and Stability Analysis panel, click Refresh to update the Ligand libraries
    • The newly created anionic-modified (4) ligand library is now visible in the dropdown list of libraries
  2. Select anionic_modified (4) as the chosen Primary ligand source

Figure 6-9. Setting the complex tab.

In the Complex tab:

  1. Select Ti from Periodic Table and click OK
    • Another option is to type Ti in the Central atom textbox

 

Coordination sites can be specified by a number of ligands or by a geometry. Number of ligands will generate complexes with four ligands from the library, regardless of denticitythe number of donor groups through which a single ligand binds to a metal. Kappa notation is used to describe denticity. (monodentatea single ligand which binds to a metal center via one atom (e.g. -CO, -Cl), bidentatea single ligand which binds to a metal center via two atoms (e.g. ethylenediamine) etc.). Geometry will enumerate only complexes that satisfy the geometry from the dropdown. Here we will use Number of ligands, because we would like to arrange four monoanionic ligands around the tetravalent Ti center, and allow various geometries for multidentate coordination.

 

  1. Set Number of ligands to 4
  2. Maintain Clean geometry with and select xTB
  3. Ensure that Stability analysis with DFT is unchecked

Figure 6-10. Setting the isomers tab.

  1. Go to the Isomers tab
  2. Maintain Tetrahedral as 4-coordinate geometry
    • Ti complexes are typically tetrahedral
  3. For Bidentate ligands, choose Do not flip
    • In this example, flipping ligands is pointless, as the bidentatea single ligand which binds to a metal center via two atoms (e.g. ethylenediamine) ligands are both symmetric
  4. For Octahedral isomer, maintain Facial
    • Even with just four ligands per complex, effectively octahedral isomers may be generated if two of the four ligands are bidentatea single ligand which binds to a metal center via two atoms (e.g. ethylenediamine)
  5. Make sure that Remove duplicates is checked

Figure 6-11. Naming and running the job.

  1. Change the Job name to Ti_anionic_modified_enumeration

 

The compute time depends on the size of the ligand library and the speed of the computer; this example takes a few minutes using a CPU localhost. Also note that in this case, unlike in Section 5, we are not running QM calculations on the complexes. The output complexes will be unoptimized structures. We will perform a geometry optimization in Section 7.

  1. Adjust the job settings () as needed
    • This job requires a CPU host. The job can be completed in about 10 minutes on a 12 CPU host
  2. If you would like to run the job yourself, click Run. Otherwise, to proceed with pre-generated files, go to File > Import Structures, navigate to where you downloaded the tutorial files and import Ti_anionic_modified_enumeration-out.maegz
  3. Close the Complex Enumeration and Stability Analysis panel

Figure 6-12. Output of the enumeration.

When the job finishes or after importing, a new entry group titled Ti_anionic_modified_enumeration-out is added to the entry list. Feel free to visualize and stylize the complexes as you wish.

 

The enumeration job generates dozens of structures, but some of them are identical isomers.  For example, Ti(Cl)(Cl)(Cl)(CH3) is identical to Ti(Cl)(Cl)(CH3)(Cl). We do not need to maintain both entries. We can conveniently find and keep only the chemically-unique isomers.

Figure 6-13. Selecting the entry list group.

  1. In the entry lista simplified view of the Project Table that allows you to perform basic operations such as selection and inclusion, select the entire output group by clicking on the title of the entry group Ti_anionic_modified_enumeration-out
    • The entire list of complexes is selected

 

Note: The total number of enumerated complexes might vary with different versions of MS Maestro depending on the thresholds being used for the enumeration.

Figure 6-14. Filtering duplicates.

  1. With the group selected, go to Tasks and search for Filter Duplicates
    • Filter Duplicates appears in the Displaying Results area
    • Another option is to select Browse All > Project Table and Project Operations > Filter Duplicates
  2. Click the Filter Duplicates task item
    • A window with a message appears indicating the number of unique entries identified (in this case, it detects 35)
    • Only the 35 unique isomers are now selected in the Entry Lista simplified view of the Project Table that allows you to perform basic operations such as selection and inclusion

 

Note: Allowing repetition, the number of unique combinations of ligands chosen from a library of ligands is . We therefore expect 35 complexes when combining 4 ligands from a library of 4 ligands. 

 

  1. Click OK to close the message

Figure 6-15. Duplicating into a New Group.

  1. Right-click on any of the selected(1) the atoms are chosen in the Workspace. These atoms are referred to as "the selection" or "the atom selection". Workspace operations are performed on the selected atoms. (2) The entry is chosen in the Entry List (and Project Table) and the row for the entry is highlighted. Project operations are performed on all selected entries, unique, isomers in the entry lista simplified view of the Project Table that allows you to perform basic operations such as selection and inclusion
  2. Select Duplicate > Into New Group
    • The Duplicate into New Group panel opens

Figure 6-16. Naming and placing the group.

  1. For the New group title, input Ti_complexes_unique
  2. For Location of new group, select At top level and choose End of table
  3. Click Duplicate

Figure 6-17. The new group of unique complexes.

A new group appears in entry lista simplified view of the Project Table that allows you to perform basic operations such as selection and inclusion: Ti_complexes_unique (35) containing the unique complexes from the enumeration

7. Optimizing and Analyzing the Enumerated Structures

The enumeration tool produces reasonable structures based on rules for coordinating ligands around a metal center. However, for predicting more accurate geometries and obtaining properties, the complexes should be optimized quantum-mechanically with DFT. We will do so using Jaguar and the QM Multistage Workflow panel.  In this example, we will compute atomic charges and the polarizability of each complex, which are potentially useful organometallic properties. Of course, many other properties are available and can be computed via an analogous workflow: vibrational (IR) frequencies, molecular orbitals, NMR shifts and Fukui indices, to name a few.

For a more detailed tutorial on atomic charges, see Computing Atomic Charges.

Figure 7-1. Selecting the entry group and opening the QM Multistage Workflow panel.

  1. In the entry lista simplified view of the Project Table that allows you to perform basic operations such as selection and inclusion, select(1) the atoms are chosen in the Workspace. These atoms are referred to as "the selection" or "the atom selection". Workspace operations are performed on the selected atoms. (2) The entry is chosen in the Entry List (and Project Table) and the row for the entry is highlighted. Project operations are performed on all selected entries the  Ti_complexes_unique (35) group
    • All of the entries in the group are selected
  2. Go to Tasks > Materials > Quantum Mechanics > Molecular Quantum Mechanics > QM Multistage Workflow…

Figure 7-2. Setting the QM Multistage Workflow panel.

  1. For Use structures from ensure Project Table (35 selected entry) is chosen
  2. For Stage type select Optimization
    • We will perform a single stage workflow where an optimization is performed on each complex
  3. Change the basis set by clicking on the icon next to Basis set. Choose LACVP** from the list
    • The basis set for every structure in this job is also set to LACVP**
  4. Ensure that B3LYP-D3 is selected for the Theory (functional)

 

Note: As before, many other functionals would also give good results. For more background, see: Introduction to Geometry Optimizations, Functionals and Basis Sets

 

Note: For a more complete introduction to the QM Multistage Workflow panel, see: Introduction to Multistage Quantum Mechanical Workflows

Figure 7-3. SCF tab settings.

  1. Switch to the SCF tab
  2. Set Maximum iterations to 200
    • For metal complexes, SCF convergence may require more iterations than the default

Figure 7-4. Optimization tab settings.

  1. Switch to the Optimization tab
  2. Set Maximum steps to 250
    • For metal complexes, optimization may require more steps than the default

Figure 7-5. Properties tab settings.

  1. Switch to the Properties tab
  2. From the Properties list, check Atomic electrostatic potential charges (ESP) and Polarizability and hyperpolarizability    

Note: Click on a property row to see more specific settings below. The default property method for polarizability is alpha, beta / analytic

Figure 7-6. Naming and running the job.

  1. Change the Job name to Ti_complexes_QM_workflow
  2. Adjust the job settings () as needed
    • This job requires a CPU host. The job can be completed in about 12 hours on a 12 CPU host
  3. If you would like to run the job yourself, click Run. Otherwise, to proceed with pre-generated files, go to File > Import Structures, navigate to where you downloaded the tutorial files and import Ti_complexes_QM_workflow-out.maegz
  4. Close the QM Multistage Workflow panel

Figure 7-7. Output of the QM job with one example entry shown in the workspace.

When the job finishes or after importing, a new entry group is added to the entry list titled Ti_complexes_QM_workflow-out (35) which contains all of the geometry optimized complexes.

 

Feel free to visualize any of the output entries in the workspacethe 3D display area in the center of the main window, where molecular structures are displayed.

Figure 7-8. Polarizability data in the Project Table.

  1. To view the Polarizability values, go to the Project Table ()
  2. Scroll down to the 35 output files from the QM Multistage job
    • Various data will be displayed, e.g. QM Method, QM Basis, Number of canonical orbitals, Gas Phase Energy, etc.
  3. If Polarizability appears as a data column, view the values for the complexes. If it is not showing, choose Window > Property Tree from the menu bar. Then, in the Property Tree, expand All > Jaguar > Secondary and check Polarizability
    • Polarizability appears as a data column in the Project Table
    • You can see the units (au) by hovering over the header of the data column
    • This data can be sorted, plotted and/or exported depending on your next directions

 

The enumerated complexes can now be ranked based on their computed polarizability.  Those with lower polarizability are likely to have lower melting and boiling points, which may be relevant for CVD and ALD applications.

 

  1. Close the Project Table

Figure 7-9. Including an entry and accessing the Edit Custom Label panel.

The atomic electrostatic potential charges can be viewed in the workspace.

  1. Includethe entry is represented in the Workspace, the circle in the one of the entries from the calculation (in the Figure, we include TiCl2Me2)
  2. Go to the Style palette, click the dropdown next to Apply Labels and choose Edit Custom Label
    • The Edit Custom Label panel opens

Figure 7-10. Including an entry and accessing the Edit Custom Label panel.

  1. From the label fields list, choose ESP Charges
    • If ESP Charges is not listed, use the button to add it
  2. Click OK

Figure 7-11. The TiCl2Me2 entry with ESP charges labeled in the workspace.

The charges will be labeled in the workspace. To turn labels on and off, use the Annotations Toggle () in the bottom-right of the GUI.

Figure 7-12. Comparing ESP charges for several tiled complexes.

Optional: To compare the atomic charges across many of the complexes, tile several complexes of interest in the workspace and apply the labeling scheme.

 

Note: The polarizabilities and atomic charges can also be found in the .out file associated with each QM job.

8. Conclusion and References

In this tutorial we used a variety of tools to efficiently build models of organometallic complexes. When combined with structural optimization and property calculations, these workflows reveal the chemistry of organometallic complexes and can facilitate the discovery and understanding of new complexes.

For further learning:

For introductory content, focused on navigating the Schrödinger Materials Science interface, an Introduction to Materials Science Maestro tutorial is available. Please visit the materials science training website for access to 70+ tutorials. For scientific inquiries or technical troubleshooting, submit a ticket to our Technical Support Scientists at help@schrodinger.com

For self-paced, asynchronous, online courses in Materials Science modeling, including access to Schrödinger software, please visit the Schrödinger Online Learning portal on our website.

For some related practice, proceed to explore other relevant tutorials:

For further reading:
  • The Organometallic Chemistry of the Transition Metals, 6. DOI:10.1002/9781118788301
  • Visit additional help documentation associated with complex building:
    • Enumerate functional groups on a core complex using Build Multiple Complexes panel.
    • Specify precisely how polydentate and monodentate ligands should be arranged around a metal center using the Sculpt Complex panel.
    • After building a metal-ligand complex, its structure can be optimized at the quantum mechanical level using Jaguar.

9. Glossary of Terms

Bidentate - a single ligand which binds to a metal center via two atoms (e.g. ethylenediamine)

Denticity - the number of donor groups through which a single ligand binds to a metal. Kappa notation is used to describe denticity.

Entry List - a simplified view of the Project Table that allows you to perform basic operations such as selection and inclusion

Hapticity - coordination of a ligand to a metal center via a contiguous series of atoms (e.g. Cp ligand). Eta notation is used to describe hapticity.

Heteroleptic - organometallic compound having two or more types of Ligand

Included - the entry is represented in the Workspace, the circle in the In column is blue

Ligand - In coordination chemistry, a ligand is an ion, molecule or functional group that binds to a central metal atom to form a coordination complex.

Monodentate - a single ligand which binds to a metal center via one atom (e.g. -CO, -Cl)

Project Table - displays the contents of a project and is also an interface for performing operations on selected entries, viewing properties, and organizing structures and data

Recent actions - This is a list of your recent actions, which you can use to reopen a panel, displayed below the Browse row (Right-click to delete)

Scratch Project - a temporary project in which work is not saved, closing a scratch project removes all current work and begins a new scratch project

Selected - (1) the atoms are chosen in the Workspace. These atoms are referred to as "the selection" or "the atom selection". Workspace operations are performed on the selected atoms. (2) The entry is chosen in the Entry List (and Project Table) and the row for the entry is highlighted. Project operations are performed on all selected entries

Working Directory - the location where files are saved

Workspace - the 3D display area in the center of the main window, where molecular structures are displayed