Taehee Ko 个人学术档案 - 学术资源搜索

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引用	23	23
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Li XiantaoDepartment of mathematics, the Pennsylvania State University在 math.psu.edu 的电子邮件经过验证
Joseph P HeindelPostdoc, UC Berkeley在 lbl.gov 的电子邮件经过验证
Xingyi GuanUC Berkeley在 berkeley.edu 的电子邮件经过验证
Teresa Head-GordonUC Berkeley在 berkeley.edu 的电子邮件经过验证
Chunhao WangDepartment of Computer Science and Engineering, Penn State University在 psu.edu 的电子邮件经过验证
Chao YangLawrence Berkeley National Laboratory在 lbl.gov 的电子邮件经过验证
David B. Williams-YoungPrincipal Quantum Software Engineer, Microsoft Azure Quantum在 microsoft.com 的电子邮件经过验证
ZHIYAN DINGPostdoc, UC-Berkeley在 math.berkeley.edu 的电子邮件经过验证
Lin LinUniversity of California, Berkeley在 math.berkeley.edu 的电子邮件经过验证
Jiahao YaoGraduate Student, Mathematics, UC Berkeley在 berkeley.edu 的电子邮件经过验证
Sangkook ChoiKorea Institute for Advanced Study (KIAS)在 kias.re.kr 的电子邮件经过验证
Hyowon ParkUniversity of Illinois at Chicago / Argonne National Laboratory在 uic.edu 的电子邮件经过验证

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Taehee Ko

School of Computational Sciences, Korea Institute for Advanced Study

在 kias.re.kr 的电子邮件经过验证 - 首页

stochastic optimization electronic structure calculations


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Stochastic algorithms for self-consistent calculations of electronic structures T Ko, X Li Mathematics of Computation 92 (342), 1693-1728, 2023	6	2023
Implementation of the Density-functional Theory on Quantum Computers with Linear Scaling with respect to the Number of Atoms T Ko, X Li, C Wang arXiv preprint arXiv:2307.07067, 2023	5	2023
A Local Convergence Theory for the Stochastic Gradient Descent Method in Non-Convex Optimization With Non-isolated Local Minima T Ko, X Li Journal of Machine Learning 2 (Issue 2), 138-160, 2023	4	2023
Using machine learning to go beyond potential energy surface benchmarking for chemical reactivity X Guan, JP Heindel, T Ko, C Yang, T Head-Gordon Nature Computational Science 3 (11), 965-974, 2023	3	2023
Using diffusion maps to analyze reaction dynamics for a hydrogen combustion benchmark dataset T Ko, JP Heindel, X Guan, T Head-Gordon, DB Williams-Young, C Yang Journal of Chemical Theory and Computation 19 (17), 5872-5885, 2023	3	2023
Random coordinate descent: a simple alternative for optimizing parameterized quantum circuits Z Ding, T Ko, J Yao, L Lin, X Li Physical Review Research 6 (3), 033029, 2024	2	2024
Quantum random power method for ground state computation T Ko, H Park, S Choi arXiv preprint arXiv:2408.08556, 2024		2024
Beyond potential energy surface benchmarking: a complete application of machine learning to chemical reactivity X Guan, J Heindel, T Ko, C Yang, T Head-Gordon arXiv preprint arXiv:2306.08273, 2023		2023
Stochastic Algorithms for Some Problems in Chemistry and Machine Learning T Ko The Pennsylvania State University, 2023		2023

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