Hydrogen Evolution
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Predicted Optimal Bifunctional Electrocatalysts for the Hydrogen Evolution Reaction and the Oxygen Evolution Reaction Using Chalcogenide Heterostructures Based on Machine Learning Analysis of in Silico Quantum Mechanics Based High Throughput Screening
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| 标题： | Predicted Optimal Bifunctional Electrocatalysts for the Hydrogen Evolution Reaction and the Oxygen Evolution Reaction Using Chalcogenide Heterostructures Based on Machine Learning Analysis of in Silico Quantum Mechanics Based High Throughput Screening |
| 资源摘要： | Title: Predicted Optimal Bifunctional Electrocatalysts for the Hydrogen Evolution Reaction and the Oxygen Evolution Reaction Using Chalcogenide Heterostructures Based on Machine Learning Analysis of in Silico Quantum Mechanics Based High Throughput Screening Author(s): Ge, Lei; Yuan, Hao; Min, Yuxiang; et al. Source: JOURNAL OF PHYSICAL CHEMISTRY LETTERS, 11 (3): 869-876 FEB 6 2020 Document Type: Article |
| 资源原始URL | http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS&DestLinkType=FullRecord&KeyUT=WOS%3A000512223400042 |
| 资源来源机构： | web of science |
| 来源机构所属国家： | America |
| 来源机构性质： | scitific |