1 citations · 1 across the 1 of their papers we have counts for
2 papers
cond-mat.mtrl-sci2025★ 1 cited
Physics-informed Hamiltonian learning for large-scale optoelectronic property prediction
Martin Schwade, Shaoming Zhang, Frederik Vonhoff +2
Predicting optoelectronic properties of large-scale atomistic systems under realistic conditions is crucial for rational materials design, yet computationally prohibitive with firs…
cond-mat.mtrl-sci2023
Temperature-transferable tight-binding model using a hybrid-orbital basis
Martin Schwade, Maximilian J. Schilcher, Christian Reverón Baecker +2
Finite-temperature calculations are relevant for rationalizing material properties yet they are computationally expensive because large system sizes or long simulation times are ty…