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20072026
most citedEmissions and Energy Impacts of the Inflation Reduction Act

273 citations

Showing cond-mat.mtrl-sciShow all

5 papers · 1 filter

cond-mat.mtrl-sci2024★ 16 cited

Exploring the formation of gold/silver nanoalloys with gas-phase synthesis and machine-learning assisted simulations

Quentin Gromoff, Patrizio Benzo, Wissam A. Saidi +6

While nanoalloys are of paramount scientific and practical interests, the main processes leading to their formation are still poorly understood. Key structural features in the allo…

cond-mat.mtrl-sci2023★ 12 cited

Transmission Kikuchi diffraction mapping induces structural damage in atom probe specimens

Baptiste Gault, Heena Khanchandani, T. S. Prithiv +2

Measuring local chemistry of specific crystallographic features by atom probe tomography (APT) is facilitated by using transmission Kikuchi diffraction (TKD) to help position them…

cond-mat.mtrl-sci2021★ 102 cited

First-Principles Phonon Quasiparticle Theory Applied to a Strongly Anharmonic Halide Perovskite

Terumasa Tadano, Wissam A. Saidi

Understanding and predicting lattice dynamics in strongly anharmonic crystals is one of the long-standing challenges in condensed matter physics. Here we propose a first-principles…

cond-mat.mtrl-sci2020★ 96 cited

Coupling Physics in Machine Learning to Predict Properties of High-temperatures Alloys

Jian Peng, Yukinori Yamamoto, Jeffrey A. Hawk +2

High-temperature alloy design requires a concurrent consideration of multiple mechanisms at different length scales. We propose a workflow that couples highly relevant physics into…

cond-mat.mtrl-sci2017★ 5 cited

First-principles prediction of high-entropy-alloy stability

Rui Feng, Peter K. Liaw, Michael C. Gao +1

High entropy alloys (HEAs) are multicomponent compounds whose high configurational entropy allows them to solidify into a single phase, with a simple crystal lattice structure. Som…