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Samuel Kim
Samuel Kim
Johns Hopkins Applied Physics Laboratory
Verified email at mit.edu
Title
Cited by
Cited by
Year
Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery
S Kim, PY Lu, S Mukherjee, M Gilbert, L Jing, V Čeperić, M Soljačić
IEEE Transactions on Neural Networks and Learning Systems, 2020
1372020
Enhanced Strain Coupling of Nitrogen-Vacancy Spins to Nanoscale Diamond Cantilevers
S Meesala, YI Sohn, HA Atikian, S Kim, MJ Burek, JT Choy, M Lončar
Phys. Rev. Applied 5 (3), 2016
1142016
Extracting interpretable physical parameters from spatiotemporal systems using unsupervised learning
PY Lu, S Kim, M Soljačić
Physical Review X 10 (3), 031056, 2020
612020
Tough iron-based bulk metallic glass alloys
ST Kim, MD Demetriou, WL Johnson
US Patent 8,911,572, 2014
552014
Deep Learning for Bayesian Optimization of Scientific Problems with High-Dimensional Structure
S Kim, PY Lu, C Loh, J Smith, J Snoek, M Soljacic
Transactions of Machine Learning Research, 2021
29*2021
Fast Neural Models for Symbolic Regression at Scale
A Costa, R Dangovski, O Dugan, S Kim, P Goyal, M Soljačić, J Jacobson
arXiv preprint arXiv:2007.10784, 2020
16*2020
Luneburg Lens for Wide-Angle Chip-Scale Optical Beam Steering
S Kim, J Sloan, JJ López, D Kharas, J Herd, S Bramhavar, P Juodawlkis, ...
CLEO: Science and Innovations, SF3N. 7, 2019
152019
In-Situ Monitoring and Modeling of Metal Additive Manufacturing Powder Bed Fusion
J Alldredge, J Soltwinski, S Storck, S Kim, A Goldberg
Review of Progress in Quantitative Nondestructive Evaluation 1949 (1), 020007, 2018
152018
Surrogate-and invariance-boosted contrastive learning for data-scarce applications in science
C Loh, T Christensen, R Dangovski, S Kim, M Soljačić
Nature Communications 13 (1), 4223, 2022
102022
Tunable Superconducting Cavity using Superconducting Quantum Interference Device Metamaterials
S Kim, D Shrekenhamer, K McElroy, A Strikwerda, J Alldredge
Scientific Reports 9 (1), 4630, 2019
82019
Automated discovery and optimization of 3D topological photonic crystals
S Kim, T Christensen, SG Johnson, M Soljacic
ACS Photonics 10 (4), 861-874, 2023
62023
High impedance holographic metasurfaces for conformal and high gain antenna applications
S Kim, D Shrekenhamer, J Will, R Awadallah, J Miragliotta
2018 15th IEEE Annual Consumer Communications & Networking Conference (CCNC), 2018
62018
Deep learning and symbolic regression for discovering parametric equations
M Zhang, S Kim, PY Lu, M Soljačić
IEEE Transactions on Neural Networks and Learning Systems, 2023
52023
Hydrogen diffusion behavior and vacancy interaction behavior in OsO2 and RuO2 by ab initio calculations
S Kim, W Lai
Computational Materials Science 102, 14-20, 2015
42015
Interpretable Neuroevolutionary Models for Learning Non-Differentiable Functions and Programs
A Costa, R Dangovski, S Kim, P Goyal, M Soljačić, J Jacobson
arXiv preprint arXiv:2007.10784, 2020
32020
Strain coupling of diamond nitrogen vacancy centers to nanomechanical resonators
S Meesala, YI Sohn, HA Atikian, MJ Burek, S Kim, J Choy, M Loncar
CLEO: QELS_Fundamental Science, FTh3B. 4, 2015
22015
Thermally tunable infrared metasurfaces
D Shrekenhamer, K S. J., C L. J., LB Ruppalt, JG Champlain, ...
Eleventh International Congress on Engineered Material Platforms for Novel …, 2017
12017
Multimodal Learning for Crystalline Materials
V Moro, C Loh, R Dangovski, A Ghorashi, A Ma, Z Chen, PY Lu, ...
arXiv preprint arXiv:2312.00111, 2023
2023
Deep Learning and Symbolic Regression for Discovering Parametric Equations
S Kim, M Zhang, PY Lu, M Soljacic
ICML 2022 2nd AI for Science Workshop, 2022
2022
Deep Learning for Bayesian Optimization of High-Dimensional Scientific Problems
S Kim, P Lu, C Loh, M Soljačić, J Snoek, J Smith
APS March Meeting Abstracts 2022, G13. 008, 2022
2022
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Articles 1–20