2 papers
cond-mat.mtrl-sci2026
Graph neural network prediction of temperature-dependent hydrogen diffusion and thermal conductivity tensors of tungsten containing helium bubbles and grain boundaries
S. Saito, M. I. Kobayashi, T. Kasahara
Helium bubbles and grain boundaries in tungsten plasma-facing components alter hydrogen-isotope transport and thermal conduction by orders of magnitude, yet evaluating these transp…
cs.LG2025
An Open-Access Benchmark of Statistical and Machine-Learning Anomaly Detection Methods for Battery Applications
Mei-Chin Pang, Suraj Adhikari, Takuma Kasahara +2
Battery safety is critical in applications ranging from consumer electronics to electric vehicles and aircraft, where undetected anomalies could trigger safety hazards or costly do…