about
Direct Learning Hidden Excited State Interaction Patterns from ab initio Dynamics and Its Implication as Alternative Molecular Mechanism Models.Learning a Local-Variable Model of Aromatic and Conjugated Systems.In Silico Prediction of Chemical Toxicity for Drug Design Using Machine Learning Methods and Structural Alerts.Computer-aided drug design: time to play with novel chemical matter.Deep learning in pharmacogenomics: from gene regulation to patient stratification.Opportunities and obstacles for deep learning in biology and medicine.Computational Protein Design with Deep Learning Neural Networks.Diagnostics of Data-Driven Models: Uncertainty Quantification of PM7 Semi-Empirical Quantum Chemical Method
P2860
Q38617915-7B743E6F-CB37-4CC9-B7E2-FF88F3B875A3Q49384986-DE95AC49-CD17-41A7-AB5F-9E70F40E94DAQ50420418-4D72C18E-9B96-4C78-9199-99F9D3149E86Q50516673-70B56123-9004-4A82-B3F8-2CCD5872ECC3Q52309127-556F7039-67EF-4AE5-A99B-38338B121A62Q52331906-008B4E7D-1549-4EED-9F34-170715192708Q52573365-1EBA13F4-EC32-43B5-9CB8-A47D5C3D0636Q58763500-000A4B2D-AE80-4B3C-9C25-A3BA09C474B9
P2860
description
2017 nî lūn-bûn
@nan
2017 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2017 թվականի մարտին հրատարակված գիտական հոդված
@hy
2017年の論文
@ja
2017年論文
@yue
2017年論文
@zh-hant
2017年論文
@zh-hk
2017年論文
@zh-mo
2017年論文
@zh-tw
2017年论文
@wuu
name
Deep learning for computational chemistry.
@ast
Deep learning for computational chemistry.
@en
type
label
Deep learning for computational chemistry.
@ast
Deep learning for computational chemistry.
@en
prefLabel
Deep learning for computational chemistry.
@ast
Deep learning for computational chemistry.
@en
P2860
P921
P356
P1476
Deep learning for computational chemistry.
@en
P2093
Abhinav Vishnu
Nathan O Hodas
P2860
P304
P356
10.1002/JCC.24764
P577
2017-03-08T00:00:00Z
P698
P818
1701.04503