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Developing General Reactive Element-Based Machine Learning Potentials as the Main Computational Engine for Heterogeneous Catalysis
预印本
2024
作者:
Yang, Changxi
;
Wu, Chenyu
;
Xie, Wenbo
;
Xie, Daiqian
;
Hu, Peijun
Adobe PDF(3074Kb)
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收藏
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浏览/下载:267/59
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提交时间:2024/11/11
Machine learning potential
heterogeneous catalysis
reactions
A Method of Converting ANN to SNN for Image Classification
会议论文
2023 IEEE 3RD INTERNATIONAL CONFERENCE ON ELECTRONIC TECHNOLOGY, COMMUNICATION AND INFORMATION, ICETCI 2023, Changchun, China, May 26, 2023 - May 28, 2023
作者:
Zhou, Ruohong
Adobe PDF(1804Kb)
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收藏
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浏览/下载:243/0
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提交时间:2023/08/18
Classification (of information)
Deep learning
Low power electronics
Neural networks
Neurons
Accuracy loss
ANN-to-spiking neural network
Clipping layer
Images classification
Learning models
Neural-networks
Potential initialization
Spiking neural network
Time step
Unravelling the Impact of Metal Dopants and Oxygen Vacancies on Syngas Conversion over Oxides: A Machine Learning-Accelerated Study of CO Activation on Cr-Doped ZnO Surfaces
期刊论文
ACS CATALYSIS, 2023, 卷号: 13, 期号: 22, 页码: 15074-15086
作者:
Han, Yulan
;
Xu, Jiayan
;
Xie, Wenbo
;
Wang, Zhuozheng
;
Hu, P.
Adobe PDF(7789Kb)
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收藏
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浏览/下载:258/1
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提交时间:2023/12/22
Catalysts
Chemical activation
Density functional theory
Design for testability
Dissociation
Genetic algorithms
II-VI semiconductors
Learning algorithms
Monte Carlo methods
Oxygen vacancies
Synthesis gas
Zinc oxide
CO activation
Cr-doped
Cr-doping
DFT
Doped ZnO
Learning potential
Machine learning potential
Machine-learning
Oxygen vacancy concentration
Syngas conversion
Comprehensive Study of Oxygen Vacancies on the Catalytic Performance of ZnO for CO/H2 Activation Using Machine Learning-Accelerated First-Principles Simulations
期刊论文
ACS CATALYSIS, 2023, 卷号: 13, 期号: 8, 页码: 5104-5113
作者:
Han, Yulan
;
Xu, Jiayan
;
Xie, Wenbo
;
Wang, Zhuozheng
;
Hu, P.
Adobe PDF(3927Kb)
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收藏
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浏览/下载:274/0
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提交时间:2023/04/14
Catalysis
Catalysts
Chemical activation
Chemical bonds
Design for testability
Genetic algorithms
Global optimization
II-VI semiconductors
Learning algorithms
Machine learning
Oxygen vacancies
Synthesis gas
Zinc oxide
Zinc sulfide
Catalytic performance
Density-functional-theory
First-principles simulations
Global optimisation
Learning potential
Machine learning potential
Machine-learning
Oxides catalysts
Syn gas
Vacancy effects
Learning-based Local Path Planning for UAV in Unknown Environments
会议论文
2022 EUROPEAN CONTROL CONFERENCE, ECC 2022, London, United kingdom, July 12, 2022 - July 15, 2022
作者:
Gao, Long
;
Song, Xiaocheng
;
Liu, Xiaopei
;
Lu, Jie
Adobe PDF(688Kb)
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收藏
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浏览/下载:419/0
|
提交时间:2022/09/09
Aircraft detection
Antennas
Learning systems
Motion planning
Multilayer neural networks
Obstacle detectors
Aerial vehicle
Hidden layers
Laplacian potentials
Local path-planning
Neural-networks
Path planning method
Potential field
Reference velocity
Training data
Unknown environments
Predictive switch-controller association and control devolution for SDN systems
会议论文
PROCEEDINGS OF THE INTERNATIONAL SYMPOSIUM ON QUALITY OF SERVICE, IWQOS 2019, Phoenix, AZ, United states, June 24, 2019 - June 25, 2019
作者:
Huang, Xi
;
Bian, Simeng
;
Shao, Ziyu
;
Xu, Hong
Adobe PDF(3587Kb)
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收藏
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浏览/下载:279/102
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提交时间:2022/12/09
Decision making
Software reliability
Cost benefit analysis
Scheduling
Learning systems
Controller designs
Distributed schemes
Integrate designs
Machine learning techniques
Potential failures
Predictive scheduling
Software defined networking (SDN)
Trace driven simulation
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