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Stephen R Elliott

Showing results (31-40 of 54) with videos related to

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Angewandte Chemie (International Ed. in English)|March 6, 2019
Quantifying Chemical Structure and Machine-Learned Atomic Energies in Amorphous and Liquid SiliconNoam Bernstein, Bishal Bhattarai, Gábor Csányi, et al.
Nanoscale Horizons|October 19, 2020
Tunable phase transitions and high photovoltaic performance of two-dimensional In<sub>2</sub>Ge<sub>2</sub>Te<sub>6</sub> semiconductorsNaihua Miao, Wei Li, Linggang Zhu, et al.
Applied Spectroscopy|January 16, 2016
Analytical Capability of Defocused µ-SORS in the Chemical Interrogation of Thin Turbid Painted LayersClaudia Conti, Marco Realini, Alessandra Botteon, et al.
Nature Communications|September 30, 2025
Full-cycle device-scale simulations of memory materials with a tailored atomic-cluster-expansion potentialYuxing Zhou, Daniel F Thomas du Toit, Stephen R Elliott, et al.
Journal of the American Chemical Society|February 26, 2026
Medium-Range Structural Order in Amorphous ArsenicYuanbin Liu, Yuxing Zhou, Richard Ademuwagun, et al.
RSC Advances|May 6, 2022
Mid-IR evanescent-field fiber sensor with enhanced sensitivity for volatile organic compoundsFarah Alimagham, Max Platkov, Joshua Prestage, et al.
Angewandte Chemie (International Ed. in English)|March 22, 2024
Understanding Defects in Amorphous Silicon with Million-Atom Simulations and Machine LearningJoe D Morrow, Chinonso Ugwumadu, David A Drabold, et al.
ACS Applied Materials & Interfaces|December 4, 2018
Ultrafast Nanoscale Phase-Change Memory Enabled By Single-Pulse ConditioningDesmond K Loke, Jonathan M Skelton, Tae Hoon Lee, et al.
Science Bulletin|January 19, 2023
Multi-level phase-change memory with ultralow power consumption and resistance driftBin Liu, Kaiqi Li, Wanliang Liu, et al.
The Journal of Physical Chemistry. B|September 4, 2018
Modeling the Phase-Change Memory Material, Ge<sub>2</sub>Sb<sub>2</sub>Te<sub>5</sub>, with a Machine-Learned Interatomic PotentialFelix C Mocanu, Konstantinos Konstantinou, Tae Hoon Lee, et al.
Pageof 6

Showing results (31-40 of 54) with videos related to

Sort By:
Pageof 6
Angewandte Chemie (International Ed. in English)|March 6, 2019
Quantifying Chemical Structure and Machine-Learned Atomic Energies in Amorphous and Liquid SiliconNoam Bernstein, Bishal Bhattarai, Gábor Csányi, et al.
Nanoscale Horizons|October 19, 2020
Tunable phase transitions and high photovoltaic performance of two-dimensional In<sub>2</sub>Ge<sub>2</sub>Te<sub>6</sub> semiconductorsNaihua Miao, Wei Li, Linggang Zhu, et al.
Applied Spectroscopy|January 16, 2016
Analytical Capability of Defocused µ-SORS in the Chemical Interrogation of Thin Turbid Painted LayersClaudia Conti, Marco Realini, Alessandra Botteon, et al.
Nature Communications|September 30, 2025
Full-cycle device-scale simulations of memory materials with a tailored atomic-cluster-expansion potentialYuxing Zhou, Daniel F Thomas du Toit, Stephen R Elliott, et al.
Journal of the American Chemical Society|February 26, 2026
Medium-Range Structural Order in Amorphous ArsenicYuanbin Liu, Yuxing Zhou, Richard Ademuwagun, et al.
RSC Advances|May 6, 2022
Mid-IR evanescent-field fiber sensor with enhanced sensitivity for volatile organic compoundsFarah Alimagham, Max Platkov, Joshua Prestage, et al.
Angewandte Chemie (International Ed. in English)|March 22, 2024
Understanding Defects in Amorphous Silicon with Million-Atom Simulations and Machine LearningJoe D Morrow, Chinonso Ugwumadu, David A Drabold, et al.
ACS Applied Materials & Interfaces|December 4, 2018
Ultrafast Nanoscale Phase-Change Memory Enabled By Single-Pulse ConditioningDesmond K Loke, Jonathan M Skelton, Tae Hoon Lee, et al.
Science Bulletin|January 19, 2023
Multi-level phase-change memory with ultralow power consumption and resistance driftBin Liu, Kaiqi Li, Wanliang Liu, et al.
The Journal of Physical Chemistry. B|September 4, 2018
Modeling the Phase-Change Memory Material, Ge<sub>2</sub>Sb<sub>2</sub>Te<sub>5</sub>, with a Machine-Learned Interatomic PotentialFelix C Mocanu, Konstantinos Konstantinou, Tae Hoon Lee, et al.
Pageof 6