activity
20202026
most citedEmbracing the chaos: Alloying adds stochasticity to twin embryo growth

16 citations · 21 across the 8 of their papers we have counts for

collaborators

9 papers

cond-mat.mtrl-sci2026

OptiMat Alloys: a FAIR, living database of multi-principal element alloys enabled by a conversational agent

Yang Hu, Vladyslav Turlo

The FAIR principles have transformed how computational data and workflows are shared in materials research, yet existing repositories can only serve pre-computed entries -- broad c…

cond-mat.mtrl-sci2026

Critical role of phase-dependent properties in modeling photothermal sintering of LiCoO2 cathodes

Yang Hu, Benoit Sklénard, Wouter Vels +2

Photothermal (photonic) sintering crystallizes as-deposited amorphous LiCoO2 (LCO) cathodes for solid-state thin-film batteries using millisecond, surface-localized heating. Howeve…

cond-mat.mtrl-sci2025

Hydroxylation-driven surface reconstruction at the origin of compressive-to-tensile stress transition in metal oxide nanoparticles

Yang Hu, Vladyslav Turlo

Experiments reveal negative (non-Laplacian) surface stresses in metal oxide nanoparticles, partly associated with humidity during fabrication and annealing. Using a neural network…

cond-mat.mtrl-sci2025

Refining interface stress measurement in nanomultilayers through layer corrugation and interface roughness corrections

Yang Hu, Aleksandr Druzhinin, Claudia Cancellieri +1

We introduce new models that incorporate layer corrugation and interface roughness into standard approaches for measuring interface stress in nanomultilayers (NMLs). Applied to Cu/…

cond-mat.mtrl-sci2024★ 4 cited

Bridging classical and quantum interpretation of chemical state analysis by XPS/HAXPES to resolve short-range order in amorphous alumina films

Simon Gramatte, Xing Wang, Michael Alejandro Hernández Bertrán +8

Probing the local structure and chemistry of wide-bandgap amorphous oxide thin films remains challenging due to the limitations of lab-based spectroscopy. This work integrates X-ra…

cond-mat.mtrl-sci2024★ 1 cited

Uncovering the origin of interface stress enhancement and compressive-to-tensile stress transition in immiscible nanomultilayers

Yang Hu, Giacomo Lorenzin, Jeyun Yeom +6

The intrinsic stress in nanomultilayers (NMLs) is typically dominated by interface stress, which is particularly high in immiscible Cu/W NMLs. Here, atomistic simulations with a ch…

cond-mat.mtrl-sci2023

Machine learning of twin/matrix interfaces from local stress field

Javier F. Troncoso, Yang Hu, Nicolo M. della Ventura +3

Twinning is an important deformation mode in plastically deformed hexagonal close-packed materials. The extremely high twin growth rates at the nanoscale make atomistic simulations…

cond-mat.mtrl-sci2022

Atomistic simulations of the crystalline-to-amorphous transformation of gamma-Al2O3 nanoparticles: delicate interplay between lattice distortions, stresses, and space charges

Simon Gramatte, Lars P. H. Jeurgens, Olivier Politano +4

The size-dependent phase stability of gamma-Al2O3 was studied by large-scale molecular dynamics simulations over a wide temperature range from 300 to 900 K. For the gamma-Al2O3 cry…

cond-mat.mtrl-sci2020★ 16 cited

Embracing the chaos: Alloying adds stochasticity to twin embryo growth

Yang Hu, Vladyslav Turlo, Irene J. Beyerlein +4

High-throughput atomistic simulations reveal the unique effect of solute atoms on twin variant selection in Mg-Al alloys. Twin embryos first undergo a stochastic incubation stage w…