Machine Learning in Molecular Sciences

Machine Learning in Molecular Sciences portes grátis

Machine Learning in Molecular Sciences

Qu, Chen; Liu, Hanchao

Springer International Publishing AG

10/2023

317

Dura

Inglês

9783031371950

15 a 20 dias

Descrição não disponível.
An Introduction to Machine Learning in Molecular Sciences.- Graph Neural Networks for Molecules.- Voxelized representations of atomic systems for machine learning applications.- Development of exchange-correlation functionals assisted by machine learning.- Machine-Learning for Static and Dynamic Electronic Structure Theory.- Data Quality, Data Sampling and Data Fitting: A Tutorial Guide for Constructing Full-dimensional Accurate Potential Energy Surfaces (PESs) of Molecules and Reactions.- Machine Learning Applications in Chemical Kinetics and Thermochemistry.- Synthesize in A Smart Way: A Brief Introduction to Intelligence and Automation in Organic Synthesis.- Machine Learning for Protein Engineering.
Machine Learning;Molecular Sciences;Deep Learning;Artificial Intelligence;Graph Neural Networks;Voxelized Representations;Electronic Structure Theory;Density Functional Theory;Potential Energy Surface;Chemical Kinetics;Organic Synthesis;Protein Engineering