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730 积分 2024-08-31 加入
Data-driven rational design of single-atom materials for hydrogen evolution and sensing
8天前
已完结
Machine Learning for Transition-Metal-Based Hydrogen Generation Electrocatalysts
8天前
已完结
Beyond activity: from machine learning screening to stability decoding on the study of self-supported metal phosphides in alkaline hydrogen evolution reaction
8天前
已完结
Accelerating the design and optimization of catalysts for the hydrogen evolution reaction in transition metal phosphides using machine learning
21天前
已完结
Accelerating 2D MXene catalyst discovery for the hydrogen evolution reaction by computer-driven workflow and an ensemble learning strategy
21天前
已完结
Advanced Multifunctional Electrocatalysts: Integrating DFT and Machine Learning for OER, HER, and ORR Reactions
21天前
已完结
Machine learning assisted screening of doped metals phosphides electrocatalyst towards efficient hydrogen evolution reaction
21天前
已完结
Machine Learning-Assisted Design of Transition-Metal-Doped Cobalt Phosphide Electrocatalysts for Hydrogen Evolution
21天前
已完结
Nickel cobalt phosphate/phosphide as a promising electrode material for extrinsic supercapacitors: machine learning analysis
21天前
已完结
Synergizing Machine Learning with High‐Throughput DFT to Design Efficient Single‐Atom Catalysts for Hydrogen Evolution Reaction
24天前
已完结
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