The relentless miniaturization of electronic devices, together with the steep growth in transistor density and switching power, has pushed volumetric heat generation in modern chips, power modules, light-emitting diodes (LEDs), photovoltaic concentrators, and battery packs to levels at which conventional air cooling is...
Parimal Chaudhari, Shaival R. Parikh, Sunil Dohare et al.· Energies· 0 citations
This work presents an interpretable machine learning (ML) system that uses composition- and physics-based descriptors to predict the bulk moduli of high-entropy alloys (HEAs) by permitting precise and computationally efficient bulk modulus prediction, as well as physically significant insights into descriptor–property...