3 papers
cond-mat.mtrl-sci2026
Transformer Atomic Cluster Expansion: TRACE
Paramvir Ahlawat
Designing machine-learning interatomic potentials involves achieving the precise representation of complex many-body interactions alongside the efficiency required for scalable mol…
cond-mat.mtrl-sci2024
Thermal Conductivity Predictions with Foundation Atomistic Models
Balázs Póta, Paramvir Ahlawat, Gábor Csányi +1
Advances in machine learning have led to the development of foundation models for atomistic materials chemistry, enabling quantum-accurate descriptions of interatomic forces across…
cond-mat.mtrl-sci2024
Lattice matched heterogeneous nucleation eliminate defective buried interface in halide perovskites
Paramvir Ahlawat, Cecilia Clementi, Felix Musil +1
Metal halide perovskite-based semi-conducting hetero-structures have emerged as promising electronics for solar cells, light-emitting diodes, detectors, and photo-catalysts. Perovs…