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2020 – today
- 2025
[i9]Hao Cui, Zahra Shamsi, Gowoon Cheon, Xuejian Ma, Shutong Li, Maria Tikhanovskaya, Peter C. Norgaard, Nayantara Mudur, Martyna Plomecka, Paul Raccuglia, Yasaman Bahri, Victor V. Albert
, Pranesh Srinivasan, Haining Pan, Philippe Faist, Brian Rohr, Michael J. Statt, Dan Morris, Drew Purves, Elise Kleeman, Ruth Alcantara, Matthew Abraham, Muqthar Mohammad, Ean Phing VanLee, Chenfei Jiang, Elizabeth Dorfman, Eun-Ah Kim, Michael P. Brenner, Viren Jain, Sameera S. Ponda, Subhashini Venugopalan:
CURIE: Evaluating LLMs On Multitask Scientific Long Context Understanding and Reasoning. CoRR abs/2503.13517 (2025)- [i8]Haining Pan, James V. Roggeveen, Erez Berg, Juan Carrasquilla, Debanjan Chowdhury, Surya Ganguli, Federico Ghimenti, Juraj Hasik, Henry Hunt, HongJiang Zhang, Mason Kamb, Ying-Jer Kao, Ehsan Khatami, Michael J. Lawler, Di Luo, Titus Neupert, Xiaoliang Qi, Michael P. Brenner, Eun-Ah Kim:
CMT-Benchmark: A Benchmark for Condensed Matter Theory Built by Expert Researchers. CoRR abs/2510.05228 (2025) - [i7]Haoyu Guo, Maria Tikhanovskaya, Paul Raccuglia, Alexey Vlaskin, Chris Co, Daniel J. Liebling, Scott Ellsworth, Matthew Abraham, Elizabeth Dorfman, N. P. Armitage, Chunhan Feng, Antoine Georges, Olivier Gingras, Dominik Kiese, Steven A. Kivelson, Vadim Oganesyan, B. J. Ramshaw, Subir Sachdev, T. Senthil, J. M. Tranquada, Michael P. Brenner, Subhashini Venugopalan, Eun-Ah Kim:
Expert Evaluation of LLM World Models: A High-Tc Superconductivity Case Study. CoRR abs/2511.03782 (2025) - 2024
- [i6]Haining Pan, Nayantara Mudur, Will Taranto, Maria Tikhanovskaya, Subhashini Venugopalan, Yasaman Bahri, Michael P. Brenner, Eun-Ah Kim:
Quantum Many-Body Physics Calculations with Large Language Models. CoRR abs/2403.03154 (2024) - 2023
- [i5]Kevin Zhang, Shi Feng, Yuri D. Lensky, Nandini Trivedi, Eun-Ah Kim:
Machine learning feature discovery of spinon Fermi surface. CoRR abs/2306.03143 (2023) - [i4]Yanjun Liu, Milena Jovanovic, Krishnanand Mallayya, Wesley J. Maddox, Andrew Gordon Wilson, Sebastian Klemenz, Leslie M. Schoop, Eun-Ah Kim:
Materials Expert-Artificial Intelligence for Materials Discovery. CoRR abs/2312.02796 (2023) - 2022
- [j1]Peter Cha, Paul Ginsparg, Felix Wu, Juan Carrasquilla, Peter L. McMahon, Eun-Ah Kim:
Attention-based quantum tomography. Mach. Learn. Sci. Technol. 3(1): 01 (2022) - 2021
- [i3]Cole Miles, Rhine Samajdar, Sepehr Ebadi, Tout T. Wang, Hannes Pichler, Subir Sachdev, Mikhail D. Lukin, Markus Greiner, Kilian Q. Weinberger, Eun-Ah Kim:
Machine learning discovery of new phases in programmable quantum simulator snapshots. CoRR abs/2112.10789 (2021) - 2020
- [i2]Peter Cha, Paul Ginsparg, Felix Wu, Juan Carrasquilla, Peter L. McMahon, Eun-Ah Kim:
Attention-based Quantum Tomography. CoRR abs/2006.12469 (2020) - [i1]Cole Miles, Annabelle Bohrdt, Ruihan Wu, Christie Chiu, Muqing Xu, Geoffrey Ji, Markus Greiner, Kilian Q. Weinberger, Eugene Demler, Eun-Ah Kim:
Correlator Convolutional Neural Networks: An Interpretable Architecture for Image-like Quantum Matter Data. CoRR abs/2011.03474 (2020)
2010 – 2019
- 2018
- [c1]Ki Chul Chun, Yonggyu Chu, Jin-Seok Heo, Tae-Sung Kim, Soohwan Kim, Hui-Kap Yang, Mi-Jo Kim, Chang-Kyo Lee, Ju-Hwan Kim, Hyunchul Yoon, Chang-Ho Shin, Sang-uhn Cha, Hyung-Jin Kim, Young-Sik Kim, Kyungryun Kim, Young-Ju Kim, Won-Jun Choi, Daesik Yim, Inkyu Moon, Young-Ju Kim, Junha Lee, Young Choi, Yongmin Kwon, Sung-Won Choi, Jung-Wook Kim, Yoon-Suk Park, Woongdae Kang, Jinil Chung, Seunghyun Kim, Yesin Ryu, Seong-Jin Cho, Hoon Shin, Hangyun Jung, Sanghyuk Kwon, Kyuchang Kang, Jongmyung Lee, Yujung Song, Youngjae Kim, Eun-Ah Kim, Kyung-Soo Ha, Kyoung-Ho Kim, Seok-Hun Hyun, Seung-Bum Ko, Jung-Hwan Choi, Young-Soo Sohn, Kwang-Il Park, Seong-Jin Jang:
A 16Gb LPDDR4X SDRAM with an NBTI-tolerant circuit solution, an SWD PMOS GIDL reduction technique, an adaptive gear-down scheme and a metastable-free DQS aligner in a 10nm class DRAM process. ISSCC 2018: 206-208
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