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Ryan Soklaski
Ryan Soklaski
MIT Lincoln Laboratory
Verified email at ll.mit.edu - Homepage
Title
Cited by
Cited by
Year
Layer-controlled band gap and anisotropic excitons in few-layer black phosphorus
V Tran, R Soklaski, Y Liang, L Yang
Physical Review B 89 (23), 235319, 2014
24092014
Enhanced thermoelectric efficiency via orthogonal electrical and thermal conductances in phosphorene
R Fei, A Faghaninia, R Soklaski, JA Yan, C Lo, L Yang
Nano letters 14 (11), 6393-6399, 2014
7942014
Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning
D Mascharka, P Tran, R Soklaski, A Majumdar
CVPR 2018, 2018
2302018
Quasiparticle band-edge energy and band offsets of monolayer of molybdenum and tungsten chalcogenides
Y Liang, S Huang, R Soklaski, L Yang
Applied physics letters 103 (4), 2013
1832013
Quasiparticle band-edge energy and band offsets of monolayer of molybdenum and tungsten chalcogenides
Y Liang, S Huang, R Soklaski, L Yang
Applied physics letters 103 (4), 2013
1832013
Connectivity of icosahedral network and a dramatically growing static length scale in Cu-Zr binary metallic glasses
R Soklaski, Z Nussinov, Z Markow, KF Kelton, L Yang
Physical Review B 87 (18), 184203, 2013
1652013
Temperature effect on optical spectra of monolayer molybdenum disulfide
R Soklaski, Y Liang, L Yang
Applied Physics Letters 104 (19), 2014
772014
A locally preferred structure characterises all dynamical regimes of a supercooled liquid
R Soklaski, V Tran, Z Nussinov, KF Kelton, Y Li
Philosophical Magazine, 2016
562016
Anomalous thermal contraction of the first coordination shell in metallic alloy liquids
AK Gangopadhyay, ME Blodgett, ML Johnson, J McKnight, V Wessels, ...
The Journal of Chemical Physics 140 (4), 2014
372014
Neural scaling of deep chemical models
NC Frey, R Soklaski, S Axelrod, S Samsi, R Gomez-Bombarelli, CW Coley, ...
Nature Machine Intelligence 5 (11), 1297-1305, 2023
342023
Tunable band gap and anisotropic optical response in few-layer black phosphorus
V Tran, R Soklaski, Y Liang, L Yang
arXiv preprint arXiv:1402.4192, 2014
292014
Strongly bound excitons in gapless two-dimensional structures
Y Liang, R Soklaski, S Huang, MW Graham, R Havener, J Park, L Yang
Physical Review B 90 (11), 115418, 2014
282014
Strongly bound excitons in gapless two-dimensional structures
Y Liang, R Soklaski, S Huang, MW Graham, R Havener, J Park, L Yang
Physical Review B 90 (11), 115418, 2014
282014
Anomalous structural evolution and liquid fragility signatures in Cu–Zr and Cu–Hf liquids and glasses
NA Mauro, AJ Vogt, ML Johnson, JC Bendert, R Soklaski, L Yang, ...
Acta materialia 61 (19), 7411-7421, 2013
262013
Tools and practices for responsible AI engineering
R Soklaski, J Goodwin, O Brown, M Yee, J Matterer
arXiv preprint arXiv:2201.05647, 2022
152022
Fourier-based augmentations for improved robustness and uncertainty calibration
R Soklaski, M Yee, T Tsiligkaridis
arXiv preprint arXiv:2202.12412, 2022
122022
Dramatically growing shear rigidity length scale in the supercooled glass former NiZr 2
NB Weingartner, R Soklaski, KF Kelton, Z Nussinov
Physical Review B 93 (21), 214201, 2016
92016
Closing the gap between performance and interpretability in visual reasoning, David Mascharka, Philip Tran, Ryan Soklaski, Arjun Majumdar
T by Design
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 4942-4950, 2018
32018
A study of neutron shielding methods for experimental astrophysics
R Soklaski, M Smith
NSF/REU Program Physics Department, University of Notre Dame, 2009
12009
Knowledge-Integrated Informed AI for National Security
AK Myne, KJ Leahy, RJ Soklaski
arXiv preprint arXiv:2202.03188, 2022
2022
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