Huang Bing
Huang Bing
確認したメール アドレス: unibas.ch
タイトル
引用先
引用先
Prediction errors of molecular machine learning models lower than hybrid DFT error
FA Faber, L Hutchison, B Huang, J Gilmer, SS Schoenholz, GE Dahl, ...
Journal of chemical theory and computation 13 (11), 5255-5264, 2017
2342017
Pt–Ru catalyzed hydrogen oxidation in alkaline media: oxophilic effect or electronic effect?
Y Wang, G Wang, G Li, B Huang, J Pan, Q Liu, J Han, L Xiao, J Lu, ...
Energy & Environmental Science 8 (1), 177-181, 2015
2312015
Pt skin on AuCu intermetallic substrate: A strategy to maximize Pt utilization for fuel cells
G Wang, B Huang, L Xiao, Z Ren, H Chen, D Wang, HD Abruña, J Lu, ...
Journal of the American chemical Society 136 (27), 9643-9649, 2014
1712014
Communication: Understanding molecular representations in machine learning: The role of uniqueness and target similarity
B Huang, OA Von Lilienfeld
The Journal of Chemical Physics 145 (16), 161102, 2016
1442016
Alchemical and structural distribution based representation for universal quantum machine learning
FA Faber, AS Christensen, B Huang, OA Von Lilienfeld
The Journal of chemical physics 148 (24), 241717, 2018
1012018
AuCu intermetallic nanoparticles: surfactant-free synthesis and novel electrochemistry
G Wang, L Xiao, B Huang, Z Ren, X Tang, L Zhuang, J Lu
Journal of Materials Chemistry 22 (31), 15769-15774, 2012
522012
The “DNA” of chemistry: Scalable quantum machine learning with “amons”. 2017
B Huang, OA von Lilienfeld
arXiv preprint arXiv:1707.04146, 0
37
Pd skin on AuCu intermetallic nanoparticles: A highly active electrocatalyst for oxygen reduction reaction in alkaline media
G Wang, J Guan, L Xiao, B Huang, N Wu, J Lu, L Zhuang
Nano Energy 29, 268-274, 2016
312016
Spatially resolved quantification of the surface reactivity of solid catalysts
B Huang, L Xiao, J Lu, L Zhuang
Angewandte Chemie International Edition 55 (21), 6239-6243, 2016
292016
Inhibition effect of surface oxygenated species on ammonia oxidation reaction
W Peng, L Xiao, B Huang, L Zhuang, J Lu
The Journal of Physical Chemistry C 115 (46), 23050-23056, 2011
282011
Application of N-Halogeno-N-sodiobenzenesulfonamide Reagents to the Selective Detection of 5-Methylcytosine in DNA Sequences
T Wang, T Hong, T Tang, Q Zhai, X Xing, W Mao, X Zheng, L Xu, J Wu, ...
Journal of the American Chemical Society 135 (4), 1240-1243, 2013
222013
Optimization strategy for fuel-cell catalysts based on electronic effects
L Xiao, B Huang, L Zhuang, J Lu
RSC advances 1 (7), 1358-1363, 2011
212011
QML: A Python toolkit for quantum machine learning
AS Christensen, FA Faber, B Huang, LA Bratholm, A Tkatchenko, ...
URL https://github. com/qmlcode/qml, 2017
192017
Activating Ag by even more inert Au: a peculiar effect on electrocatalysis toward oxygen reduction in alkaline media
C Yang, B Huang, L Xiao, Z Ren, Z Liu, J Lu, L Zhuang
Chemical Communications 49 (94), 11023-11025, 2013
172013
Boosting quantum machine learning models with a multilevel combination technique: pople diagrams revisited
P Zaspel, B Huang, H Harbrecht, OA von Lilienfeld
Journal of chemical theory and computation 15 (3), 1546-1559, 2018
162018
Highly conjugated poly (N-heteroacene) nanofibers for reversible Na storage with ultra-high capacity and a long cycle life
T Gu, M Zhou, B Huang, M Liu, X Xiong, K Wang, S Cheng, K Jiang
Journal of Materials Chemistry A 6 (38), 18592-18598, 2018
102018
Exploring polycyclic aromatic hydrocarbons as an anolyte for nonaqueous redox flow batteries
G Wang, B Huang, D Liu, D Zheng, J Harris, J Xue, D Qu
Journal of Materials Chemistry A 6 (27), 13286-13293, 2018
62018
Bond-energy decoupling: principle and application to heterogeneous catalysis
B Huang, L Zhuang, L Xiao, J Lu
Chemical Science 4 (2), 606-611, 2013
52013
QML: A Python Toolkit for Quantum Machine Learning, 2017
AS Christensen, F Faber, B Huang, L Bratholm, A Tkatchenko, K Müller, ...
5
v. Quantum Machine Learning in Chemistry and Materials
B Huang, NO Symonds, OA Lilienfeld
Handbook of Materials Modeling: Methods: Theory and Modeling, 1-27, 2018
42018
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