The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 13, 2021

Filed:

May. 11, 2018
Applicant:

Shenzhen Jingtai Technology Co., Ltd., Guangdong, CN;

Inventors:

Qun Zeng, Guangdong, CN;

Peiyu Zhang, Guangdong, CN;

Yingdi Jin, Guangdong, CN;

Jian Ma, Guangdong, CN;

Lipeng Lai, Guangdong, CN;

Shuhao Wen, Guangdong, CN;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
B82B 1/00 (2006.01); G16C 10/00 (2019.01);
U.S. Cl.
CPC ...
G16C 10/00 (2019.02);
Abstract

A method for automatically and efficiently fitting repulsive potentials through DFTB includes: optimizing a molecule containing an atomic pair, and performing spacing scan on the atomic pair according to an acting interval of repulsive potentials; performing high-accuracy energy calculation on a scanning result; performing difference calculation on obtained energy to obtain second-order derivatives of force and energy; saving a structure, the energy, the second-order derivatives of force and energy into a database; acquiring energy without a repulsive potential as well as the second-order derivatives of force and energy to obtain target values of the repulsive potentials; transforming the separated target values of the repulsive potentials into splines; splicing multiple splines on a mean position between equilibrium position points to obtain new train data; constructing a train set by means of necessary samples and choosable samples; and fitting the repulsive potentials through singular value decomposition.


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