Papers citing Amorphous Catalysis: Machine Learning Driven High-Throughput Screening of Superior Active Site for Hydrogen Evolution Reaction
Machine learning applications on proton exchange membrane water electrolyzers: A component-level overview
International Journal of Hydrogen Energy · 2024-11-15
Abdelmola Albadwi, Saltuk Buğra Selçuklu, Mehmet Fatih Kaya
Read original paper ↗ ·The amorphous state as a frontier in computational materials design
Nature Reviews Materials · 2024-12-16
Yuanbin Liu, Ata Madanchi, Andy S. Anker, Lena Simine, Volker L. Deringer
Read original paper ↗ ·Beyond activity: from machine learning screening to stability decoding on the study of self-supported metal phosphides in alkaline hydrogen evolution reaction
Journal of Materials Chemistry A · 2025-01-01
Sha Bai, Chenjun Ning, Guihao Liu, Yanqi Xu, Zhaohui Wu, Yu-Fei Song
Read original paper ↗ ·High throughput computational and experimental methods for accelerated electrochemical materials discovery
Journal of Materials Chemistry A · 2025-01-01
Uzoma O. Nwabara, Kunran Yang, Akshay Talekar, Varinia Bernales, Jorge González, Stuart Miller, Jeff Wu
Read original paper ↗ ·Inhibiting Overoxidation of Dynamically Evolved RuO2 to Achieve a Win–Win in Activity–Stability for Acidic Water Electrolysis
Journal of the American Chemical Society · 2025-02-28
Wenjing Li, Dingming Chen, Zhenxin Lou, Haiyang Yuan, Xiaopeng Fu, Hao Yang Lin, Miaoyu Lin, Yu Hou, Haifeng Qi, Peng Fei Liu, Hua Gui Yang, Haifeng Wang
Read original paper ↗ ·Applications of machine learning in surfaces and interfaces
Chemical Physics Reviews · 2025-03-01
Shaofeng Xu, Jing‐Yuan Wu, Ying Guo, Qing Zhang, Xiaoxia Zhong, Jinjin Li, Wei Li Ren
Read original paper ↗ ·Deep learning potential-assisted surface engineering for HfO2/SiO2 interface and enhanced laser damage resistance
Applied Surface Science · 2025-05-15
Yongnian Qi, Xiaoguang Guo, Xing Gao, Ping Zhou
Read original paper ↗ ·Machine Learned Force Fields: Fundamentals, Their Reach, and Challenges
Unknown journal · 2025-06-23
Carlos A. Vital-José, Román J. Armenta‐Rico, Huziel E. Sauceda
Read original paper ↗ ·Prospects of AI in advancing green hydrogen production: From materials to applications
Applied Physics Reviews · 2025-09-01
Doudou Zhang, Weisheng Pan, Haijiao Lu, Zhiliang Wang, Bikesh Gupta, Amanullah Maung Than Oo, Lianzhou Wang, Karsten Reuter, Haobo Li, Yijiao Jiang, Siva Krishna Karuturi
Read original paper ↗ ·High-Entropy Amorphous Catalysts for Water Electrolysis: A New Frontier
Nano-Micro Letters · 2025-10-20
Gaihong Wang, Zhijie Chen, Jinliang Zhu, Jiangzhou Xie, Wei Wei, Yi‐Ming Yan, Bing‐Jie Ni
Read original paper ↗ ·Fast-Tracking Transition-State Localization via Reaction Directional Analysis
Journal of Chemical Theory and Computation · 2025-12-12
Peipei Zhang, Chenxi Guo, P. Hu
Read original paper ↗ ·Optimizing Molecular Descriptors for Reliable Adsorption Energy Prediction on Transition Metal Nanoclusters
ACS Omega · 2026-01-06
Lucas B. Pena, Felipe V. Calderan, Priscilla Felício-Sousa, Karla Furtado Andriani, Marcos G. Quiles, Juarez L. F. Da Silva, Breno R. L. Galvão
Read original paper ↗ ·HiMac: High-Throughput Initialization of Multidentate Adsorption Configurations for Geometry Relaxation and Transition-State Searches
Journal of Chemical Theory and Computation · 2026-06-05
Yinkai Wu, 钰喜 袁, Cheng Chen, Nianzhi Liu, Haifeng Wang, Yinkai Wu
Read original paper ↗ ·Combining DFT calculations and machine learning for rational design of hydrogen electrocatalysts
Chinese Journal of Chemical Engineering · 2026-06-09
Shuna Yang, HJ Xu, Wenhao Lv, Shaojie Yang, Yawei Liu, Feng Huo
Read original paper ↗ ·Active Learning for Optimizing Adsorption Energy Predictions in Large Chemical Spaces
The Journal of Physical Chemistry A · 2026-08-22
Johnathan von der Heyde, Walter Malone, Abdelkader Kara
Read original paper ↗ ·