Machine learning-assisted low-dimensional electrocatalysts design for hydrogen evolution reaction

J Li, N Wu, J Zhang, HH Wu, K Pan, Y Wang, G Liu… - Nano-Micro Letters, 2023 - Springer
Efficient electrocatalysts are crucial for hydrogen generation from electrolyzing water.
Nevertheless, the conventional" trial and error" method for producing advanced …

Embracing data science in catalysis research

M Suvarna, J Pérez-Ramírez - Nature Catalysis, 2024 - nature.com
Accelerating catalyst discovery and development is of paramount importance in addressing
the global energy, sustainability and healthcare demands. The past decade has witnessed …

Design and synthesis of noble metal‐based alloy electrocatalysts and their application in hydrogen evolution reaction

Z Cui, W Jiao, ZY Huang, G Chen, B Zhang, Y Han… - Small, 2023 - Wiley Online Library
Hydrogen energy is regarded as the ultimate energy source for future human society, and
the preparation of hydrogen from water electrolysis is recognized as the most ideal way. One …

From characterization to discovery: artificial intelligence, machine learning and high-throughput experiments for heterogeneous catalyst design

J Benavides-Hernández, F Dumeignil - ACS Catalysis, 2024 - ACS Publications
This review paper delves into synergistic integration of artificial intelligence (AI) and
machine learning (ML) with high-throughput experimentation (HTE) in the field of …