Molecular property prediction method and system

A technology of molecular properties and prediction methods, applied in the fields of quantum chemistry/computational chemistry, machine learning/artificial intelligence, and chemical informatics, it can solve the problems that calculation results cannot be directly extrapolated, affect the work efficiency of scientific researchers, and achieve regression. Analytical Methods for Precise Effects

Active Publication Date: 2020-09-25
COMP NETWORK INFORMATION CENT CHINESE ACADEMY OF SCI
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Problems solved by technology

Therefore, the combination of basis sets and functionals in density functional calculations can be considered to be infinitely diverse, which also leads researchers to choose different basis sets and functionals for calculation and testing in the calculation process of related properties; at the same time, in a specific functional The calculation results obtained under the functional and basis set cannot be directly extrapolated to other combinations of functional and basis set
The above inconveniences have also greatly affected the work efficiency of scientific researchers in this area.

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  • Molecular property prediction method and system
  • Molecular property prediction method and system
  • Molecular property prediction method and system

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Embodiment Construction

[0029] Inspired by the many-worlds interpretation (abbreviated as MWI) in quantum mechanics, the present invention proposes the chemical MWI under density functional theory, and combines it with chemical informatics, machine learning / The combination of artificial intelligence is used to predict the molecular properties under the combination of different calculation schemes (exchange-correlation functional, basis set).

[0030] The many-worlds interpretation was proposed by Everett Hugh III of Princeton University in 1957. He assumed that the evolution of all isolated systems follows the Schrödinger equation and the wave function will not collapse, and quantum measurements can only obtain one result, that is, quantum in superposition. He believes that there is a certain relationship between measurement and the system being measured, which is called a relative state; at the same time, he believes that what measurement brings is not a collapse, but a split world. In the 1960s a...

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Abstract

The invention provides a molecular property prediction method and system, and relates to the fields of quantum chemistry/computational chemistry, chemical informatics and machine learning/artificial intelligence. Under the framework of chemical multi-world explanation, a density functional theory, chemical informatics and machine learning/artificial intelligence means are used, information such asa molecular structure, a base group, a functional and the like is used as input, and a prediction result of molecular property is output through a machine learning model. According to the method, anytype of molecular structure and any calculation strategy can be predicted, and the method is more accurate than a common experience method and a regression analysis method.

Description

technical field [0001] The present invention relates to the fields of quantum chemistry / computational chemistry, cheminformatics, and machine learning / artificial intelligence, specifically a method using density functional theory, cheminformatics, and machine learning / artificial intelligence under the framework of the chemical multi-world theory. Theoretical methods for predicting the properties of unknown molecules. Background technique [0002] Calculation of various intrinsic properties of molecules is one of the core issues in quantum chemistry / computational chemistry. Early solutions were based on empirical and semi-empirical model Hamiltonian theory, such as Hückel molecular orbital theory and classical valence bond theory. Since the 1990s, with the rapid development of computer software and hardware, theoretical methods based on ab initio Hamiltonian have occupied a major position. These theoretical methods include Hartree-Fock self-consistent field theory and electr...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16C20/70G16C20/30
CPCG16C20/70G16C20/30Y02P90/30
Inventor 马英晋马硕张宝花刘倩金钟
Owner COMP NETWORK INFORMATION CENT CHINESE ACADEMY OF SCI
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