2 papers
cs.LG2026
A generative machine learning model for designing metal hydrides applied to hydrogen storage
Xiyuan Liu, Christian Hacker, Shengnian Wang +1
Developing new metal hydrides is a critical step toward efficient hydrogen storage in carbon-neutral energy systems. However, existing materials databases, such as the Materials Pr…
cond-mat.mtrl-sci2025
Er:AlO for Telecom-Band Photonics: Electronic Structure and Optical Properties
Mahtab A. Khan, Jayden D. Craft, Hari P. Paudel +3
Er-doped AlO is a promising host for telecom-band integrated photonics. Here we combine ab initio calculations with a symmetry-resolved analysis to elucidate substitutional…