3 papers
cond-mat.mtrl-sci2026
Comparative study of ensemble-based uncertainty quantification methods for neural network interatomic potentials
Yonatan Kurniawan, Mingjian Wen, Ellad B. Tadmor +1
Machine learning interatomic potentials (MLIPs) enable atomistic simulations with near first-principles accuracy at substantially reduced computational cost, making them powerful t…
math.OC2025
Degradation-Aware Model Predictive Control for Battery Swapping Stations under Energy Arbitrage
Ruochen Li, Zhichao Chen, Zhaoting Zhang +4
Battery swapping stations (BSS) offer a fast and scalable alternative to conventional electric vehicle (EV) charging, gaining growing policy support worldwide. However, existing BS…
astro-ph.CO2024
The radio halo in PLCKESZ G171.94 40.65: Beacon of merging activity
Ramananda Santra, Ruta Kale, Simona Giacintucci +6
We present the first multi-frequency analysis of the candidate ultra-steep spectrum radio halo in the galaxy cluster PLCKESZ G171.9440.65, using the upgraded Giant Metrewave Rad…