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Spencer L Thomas
Spencer L Thomas
Postdoctoral Researcher, Stony Brook University
Verified email at stonybrook.edu
Title
Cited by
Cited by
Year
Grain-boundary kinetics: A unified approach
J Han, SL Thomas, DJ Srolovitz
Progress in Materials Science 98, 386-476, 2018
3112018
Reconciling grain growth and shear-coupled grain boundary migration
SL Thomas, K Chen, J Han, PK Purohit, DJ Srolovitz
Nature communications 8 (1), 1764, 2017
1612017
Machine learning determination of atomic dynamics at grain boundaries
TA Sharp, SL Thomas, ED Cubuk, SS Schoenholz, DJ Srolovitz, AJ Liu
Proceedings of the National Academy of Sciences 115 (43), 10943-10947, 2018
892018
Disconnection description of triple-junction motion
SL Thomas, C Wei, J Han, Y Xiang, DJ Srolovitz
Proceedings of the National Academy of Sciences 116 (18), 8756-8765, 2019
582019
Grain boundary shear coupling is not a grain boundary property
K Chen, J Han, SL Thomas, DJ Srolovitz
Acta Materialia 167, 241-247, 2019
542019
When twins collide: Twin junctions in nanocrystalline nickel
SL Thomas, AH King, DJ Srolovitz
Acta Materialia 113, 301-310, 2016
522016
Vacancy diffusion in multi-principal element alloys: the role of chemical disorder in the ordered lattice
SL Thomas, S Patala
Acta Materialia 196 (1), 144-153, 2020
422020
A continuum multi-disconnection-mode model for grain boundary migration
C Wei, SL Thomas, J Han, DJ Srolovitz, Y Xiang
Journal of the Mechanics and Physics of Solids 133, 103731, 2019
202019
Grain boundary softening from stress assisted helium cavity coalescence in ultrafine-grained tungsten
WS Cunningham, Y Zhang, SL Thomas, O El-Atwani, Y Wang, ...
Acta Materialia 252, 118948, 2023
52023
The coupling of grain growth and twinning in FCC metals
SL Thomas, J Han, DJ Srolovitz
IOP Conference Series: Materials Science and Engineering 580 (1), 012026, 2019
42019
A Unified Approach
J Han, SL Thomas, DJ Srolovitz
arXiv preprint arXiv:1803.03214, 2018
32018
Bridging Grain Boundary Dynamics and Microstructure Evolution
SL Thomas
University of Pennsylvania, 2019
2019
Machine Learning to Analyze the Atomic Energy Landscape in Poly-Crystalline Materials
T Sharp, S Thomas, E Cubuk, S Schoenholz, D Srolovitz, A Liu
APS March Meeting Abstracts 2018, X31. 004, 2018
2018
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