We present methodology (HBFF/SVD) for optimizing the form and parameters of force fields (FF) for molecular dynamics simulations through utilizing information about properties such as the geometry, Hessian, polarizability, stress (crystals), and elastic constants (crystals). This method is based on singular value decomposition (SVD) of the Jacobian describing the partial derivatives in various properties with respect to FF parameters. HBFF/SVD is effective for optimizing the parameters for accurate FFs of organic, inorganic, and transition metal compounds. In addition it provides information on the validity of the functional form of the FF for describing the properties of interest. This method is illustrated by application to organic molecules (CH2O, C2H4, C4H6, C6H8, C6H6, and naphthalene) and inorganic molecules (Cl2CrO2 and Cl2MoO2).
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22 February 1996
Research Article|
February 22 1996
The Hessian biased singular value decomposition method for optimization and analysis of force fields
Siddharth Dasgupta;
Siddharth Dasgupta
Materials and Process Simulation Center, Beckman Institute, (139‐74), Division of Chemistry and Chemical Engineering (CN 8768), California Institute of Technology, Pasadena, California 91125
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Terumasa Yamasaki;
Terumasa Yamasaki
Materials and Process Simulation Center, Beckman Institute, (139‐74), Division of Chemistry and Chemical Engineering (CN 8768), California Institute of Technology, Pasadena, California 91125
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William A. Goddard, III
William A. Goddard, III
Materials and Process Simulation Center, Beckman Institute, (139‐74), Division of Chemistry and Chemical Engineering (CN 8768), California Institute of Technology, Pasadena, California 91125
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J. Chem. Phys. 104, 2898–2920 (1996)
Article history
Received:
July 01 1993
Accepted:
November 14 1995
Citation
Siddharth Dasgupta, Terumasa Yamasaki, William A. Goddard; The Hessian biased singular value decomposition method for optimization and analysis of force fields. J. Chem. Phys. 22 February 1996; 104 (8): 2898–2920. https://doi.org/10.1063/1.471112
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