5 citations · 6 across the 2 of their papers we have counts for
2 papers
cond-mat.mtrl-sci2022★ 1 cited
Fusing machine learning strategy with density functional theory to hasten the discovery of MXenes for hydrogen generation
B. Moses Abraham, Priyanka Sinha, Prosun Halder +1
The complexity of the topological and combinatorial configuration space of MXenes can give rise to gigantic design challenges that cannot be addressed through traditional experimen…
cond-mat.mtrl-sci2022★ 5 cited
Accelerating the Discovery of g-CN-Supported Single Atom Catalysts for Hydrogen Evolution Reaction: A Combined DFT and Machine Learning Strategy
M. V. Jyothirmai, D. Roshini, B. Moses Abraham +1
Two-dimensional materials supported by single atom catalysis (SACs) are foreseen to replace platinum for large-scale industrial scalability of sustainable hydrogen generation. Here…