13 citations · 50 across the 10 of their papers we have counts for
Showing 2025Show all
2 papers · 1 filter
cond-mat.mtrl-sci2025★ 7 cited
Benchmarking CHGNet Universal Machine Learning Interatomic Potential Against DFT and EXAFS: Case of Layered WS2 and MoS2
Pjotrs Žguns, Inga Pudza, Alexei Kuzmin
Universal machine learning interatomic potentials (uMLIPs) deliver near ab initio accuracy in energy and force calculations at low computational cost, making them invaluable for ma…
physics.app-ph2025★ 11 cited
Scalable solution chemical synthesis and comprehensive analysis of Bi2Te3 and Sb2Te3
Bejan Hamawandi, Parva Parsa, Inga Pudza +7
Thermoelectric (TE) materials can directly convert heat into electrical energy. However, they sustain costly production procedures and batch-to-batch performance variations. Theref…