Taehee Ko

Cited by

	All	Since 2019
Citations	13	13
h-index	2	2
i10-index	0	0

2022202320243 7 3

Co-authors

Li XiantaoDepartment of mathematics, the Pennsylvania State UniversityVerified email at math.psu.edu
Joseph P HeindelPostdoc, UC BerkeleyVerified email at lbl.gov
Xingyi GuanUC BerkeleyVerified email at berkeley.edu
Teresa Head-GordonUC BerkeleyVerified email at berkeley.edu
Chao YangLawrence Berkeley National LaboratoryVerified email at lbl.gov
David B. Williams-YoungResearch Scientist, Lawrence Berkeley National LabVerified email at lbl.gov
Chunhao WangDepartment of Computer Science and Engineering, Penn State UniversityVerified email at psu.edu
ZHIYAN DINGPostdoc, UC-BerkeleyVerified email at math.berkeley.edu
Lin LinUniversity of California, BerkeleyVerified email at math.berkeley.edu
Jiahao YaoGraduate Student, Mathematics, UC BerkeleyVerified email at berkeley.edu

Taehee Ko

School of Computational Sciences, Korea Institute for Advanced Study

Verified email at kias.re.kr - Homepage

stochastic optimization electronic structure calculations


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Stochastic algorithms for self-consistent calculations of electronic structures T Ko, X Li Mathematics of Computation 92 (342), 1693-1728, 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	3	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	2	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	2	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	1	2023
Random coordinate descent: a simple alternative for optimizing parameterized quantum circuits Z Ding, T Ko, J Yao, L Lin, X Li arXiv preprint arXiv:2311.00088, 2023		2023
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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