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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…

cond-mat.mtrl-sci20243 cited

Size dependent solid-solid crystallization of halide perovskites

Paramvir Ahlawat

The efficiency and stability of halide perovskite-based solar cells and light-emitting diodes directly depend on the intricate dynamics of solid-solid crystallization[1-23]. In thi…

cond-mat.mtrl-sci2023

Molecular dynamics simulations of nucleation of hexagonal() and cubic()-FAPbI perovskites from solution

Paramvir Ahlawat

Solar to power conversion certified efficiencies of formamidinium lead iodide based single-junction perovskite solar cell is now 26%, all perovskite-perovskite tandem 28%, an…