Stable Numerical Methods of Approaching Quantum Mechanical Molecular Force Fields to Experimental Data

Author(s):  
Gulnara Kuramshina ◽  
Igor Kochikov ◽  
Anatoly Yagola
2021 ◽  
Author(s):  
Tom Young ◽  
Tristan Johnston-Wood ◽  
Volker L. Deringer ◽  
Fernanda Duarte

Predictive molecular simulations require fast, accurate and reactive interatomic potentials. Machine learning offers a promising approach to construct such potentials by fitting energies and forces to high-level quantum-mechanical data, but...


2008 ◽  
Vol 19 (3) ◽  
pp. 421-428 ◽  
Author(s):  
Yurii N. Panchenko ◽  
Charles W. Bock ◽  
Joseph D. Larkin ◽  
Alexander V. Abramenkov ◽  
Frank Kühnemann

1995 ◽  
Vol 348 ◽  
pp. 413-416 ◽  
Author(s):  
Yu.N. Panchenko ◽  
G.R. De Maré ◽  
N.F. Stepanov

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