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ORCIDKin Long Kelvin Lee
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2020 – today
- 2024
[i6]Kin Long Kelvin Lee, Michael Galkin, Santiago Miret:
Deconstructing equivariant representations in molecular systems. CoRR abs/2410.08131 (2024)- [i5]Andrew H. Proppe, Kin Long Kelvin Lee, Weiwei Sun, Chantalle J. Krajewska, Oliver Tye, Moungi G. Bawendi:
Accelerating Quantum Emitter Characterization with Latent Neural Ordinary Differential Equations. CoRR abs/2411.11191 (2024) - [i4]Austin H. Cheng, Alston Lo, Kin Long Kelvin Lee, Santiago Miret, Alán Aspuru-Guzik:
Stiefel Flow Matching for Moment-Constrained Structure Elucidation. CoRR abs/2412.12540 (2024) - 2023
- [j2]Kin Long Kelvin Lee
, Nalini Kumar:
Artificial Intelligence for Scientific Discovery at High-Performance Computing Scales. Computer 56(4): 116-122 (2023) - [j1]Santiago Miret, Kin Long Kelvin Lee, Carmelo Gonzales, Marcel Nassar, Matthew Spellings:
The Open MatSci ML Toolkit: A Flexible Framework for Machine Learning in Materials Science. Trans. Mach. Learn. Res. 2023 (2023) - [c1]Kin Long Kelvin Lee, Carmelo Gonzales, Matthew Spellings, Mikhail Galkin, Santiago Miret, Nalini Kumar:
Towards Foundation Models for Materials Science: The Open MatSci ML Toolkit. SC Workshops 2023: 51-59 - [i3]Kin Long Kelvin Lee, Carmelo Gonzales, Marcel Nassar, Matthew Spellings, Mikhail Galkin, Santiago Miret:
MatSciML: A Broad, Multi-Task Benchmark for Solid-State Materials Modeling. CoRR abs/2309.05934 (2023) - [i2]Maxwell X. Cai, Kin Long Kelvin Lee:
ρ-Diffusion: A diffusion-based density estimation framework for computational physics. CoRR abs/2312.08153 (2023) - 2022
- [i1]Santiago Miret, Kin Long Kelvin Lee, Carmelo Gonzales, Marcel Nassar, Matthew Spellings:
The Open MatSci ML Toolkit: A Flexible Framework for Machine Learning in Materials Science. CoRR abs/2210.17484 (2022)
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