5 citations · 5 across the 2 of their papers we have counts for
2 papers
cond-mat.mtrl-sci2026
Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH
Bo Han, Jianchuan Wang, Rui Zhang +6
Machine learning potential-driven molecular dynamics simulations (ML-MD) were employed to provide atomistic insights into the dehydrogenation kinetics of pristine and doped MgH2. T…
cond-mat.mtrl-sci2024★ 5 cited
A Predictive Model for Catalytic Methane Pyrolysis
Ulrich Pototschnig, Martin Matas, David Scheiblehner +4
Methane pyrolysis provides a scalable alternative to conventional hydrogen production methods, avoiding greenhouse gas emissions. However, high operating temperatures limit economi…