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全部29产品12论文17
Machine learning in catalysis论文
Nature Catalysis2018引用: 485
High-throughput screening of bimetallic catalysts enabled by machine learning论文
Journal of Materials Chemistry A2017引用: 354
Learning from the Harvard Clean Energy Project: The Use of Neural Networks to Accelerate Materials Discovery论文
Advanced Functional Materials2015引用: 233
Interatomic potentials for ionic systems with density functional accuracy based on charge densities obtained by a neural network论文
Physical Review B2015引用: 302
What Is High-Throughput Virtual Screening? A Perspective from Organic Materials Discovery论文
Annual Review of Materials Research2015引用: 319
Computer graphics and graphical user interfaces as tools in simulations of matter at the atomic scale论文
Computational Materials Science2003引用: 1.9K
Dynamic Combinatorial Chemistry and Virtual Combinatorial Libraries论文
Chemistry - A European Journal1999引用: 884
Vertex Operator Algebras and the Monster论文
Pure and applied mathematics1988引用: 1.7K
The structure of vitreous silica论文
Journal of Applied Crystallography1969引用: 1.4K

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