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Area of Science:

  • Computational Chemistry
  • Materials Science
  • Solid State Physics

Background:

  • The accurate simulation of platinum-containing systems is crucial for various scientific disciplines.
  • Existing computational methods may have limitations in speed or accuracy for complex platinum interactions.

Purpose of the Study:

  • To develop and validate a new parameter set for the transition metal platinum within the third-order density-functional tight-binding (DFTB3) method.
  • To extend the applicability of DFTB to a wider range of platinum-containing chemical systems.
  • To enable rapid and reliable simulations of platinum-based materials and complexes.

Main Methods:

  • Parametrization of platinum interactions with s-, p-, and d-block elements for the DFTB3 method.
  • Benchmarking against over 1300 platinum-containing structures from the Cambridge Crystallographic Data Centre.
  • Validation using MP2/cc-pVTZ optimized reference systems, binuclear platinum(II) complexes, QM/MM molecular dynamics (MD) simulations, and DFTB-based MD simulations of cisplatin in metal-organic frameworks (MOFs).

Main Results:

  • A new parameter set for platinum in DFTB3, compatible with the 3ob DFTB3 framework, has been successfully developed.
  • The parameters demonstrate robust and consistent description of platinum coordination environments across various validation tests.
  • The developed method enables efficient and accurate simulations of diverse platinum-containing systems.

Conclusions:

  • The new DFTB3 parameter set for platinum significantly enhances the capability of DFTB for simulating platinum-based systems.
  • This work facilitates reproducible research through the provision of example Python scripts for the parametrization workflow.
  • The validated parameters pave the way for accelerated discovery and design in fields utilizing platinum chemistry.