Prashun Gorai

most citedAccelerating point defect simulations using data-driven and machine learning approaches

1 citations · 1 across the 1 of their papers we have counts for

collaborators

Showing cond-mat.mtrl-sciShow all

2 papers · 1 filter

cond-mat.mtrl-sci2026★ 1 cited

Accelerating point defect simulations using data-driven and machine learning approaches

Arun Mannodi-Kanakkithodi, Menglin Huang, Prashun Gorai +1

Point defects in solid-state materials are now routinely simulated using large supercell structures, requiring efficient quantum mechanical solutions. Data-driven and machine learn…

cond-mat.mtrl-sci2025

Ferroelectricity of Wurtzite Al $_{1 - x}$ Hf $_{x}$ N Heterovalent Alloys

Nate S. P. Bernstein, Daniel Drury, Cheng-Wei Lee +11

Thin films of aluminum hafnium nitride (Al $_{1 - x}$ Hf $_{x}$ N) were synthesized via reactive magnetron sputtering for Hf contents up to $x$ = 0.13. X-ray diffraction showed a single…

Accelerating point defect simulations using data-driven and machine learning approaches

Ferroelectricity of Wurtzite Al1−x​Hfx​N Heterovalent Alloys

Ferroelectricity of Wurtzite Al $_{1 - x}$ Hf $_{x}$ N Heterovalent Alloys