Sanaa Ismail

collaborators

2 papers

cond-mat.mtrl-sci2026

Machine-learning screening and first-principles lattice dynamics resolve the most stable structure of NaCa(BH $_{4}$ ) $_{3}$ from a data-driven candidate search

Sanaa Ismail, Ricardo Amaral, Attia A. Gadallah +2

Equimolar NaCa(BH $_{4}$ ) $_{3}$ offers a theoretical hydrogen capacity of 11.24 wt.% and a decomposition enthalpy expected to fall between those of NaBH $_{4}$ and Ca(BH $_{4}$ ) $_{2}$ , but it h…

cond-mat.mtrl-sci2026

Lead-free piezoelectric perovskites for arterial-pulse e-skin: from configurational complexity to equivariant machine-learning potentials

Sanaa Ismail, Hassan M. E. Azzazy, Zi-Kui Liu

Continuous, non-invasive monitoring of the arterial pulse is a clinical priority for cardiovascular disease, the leading cause of global mortality. Flexible piezoelectric electroni…

Machine-learning screening and first-principles lattice dynamics resolve the most stable structure of NaCa(BH4​)3​ from a data-driven candidate search

Lead-free piezoelectric perovskites for arterial-pulse e-skin: from configurational complexity to equivariant machine-learning potentials

Machine-learning screening and first-principles lattice dynamics resolve the most stable structure of NaCa(BH $_{4}$ ) $_{3}$ from a data-driven candidate search