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Cited by
All
Since 2019
Citations
70
70
h-index
3
3
i10-index
2
2
0
22
11
2020
2021
2022
2023
2024
9
12
14
22
13
Public access
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3 articles
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Jun Dai
Postdoc, Mila - Quebec AI Institute
Verified email at mila.quebec
Quantum Physics
Quantum Computing
Machine Learning
Quantum Chemistry
Articles
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Year
Interpolation and extrapolation of global potential energy surfaces for polyatomic systems by Gaussian processes with composite kernels
J Dai, RV Krems
Journal of Chemical Theory and Computation 16 (3), 1386-1395
, 2020
43
2020
Machine learning corrected quantum dynamics calculations
A Jasinski, J Montaner, RC Forrey, BH Yang, PC Stancil, N Balakrishnan, ...
Physical Review Research 2 (3), 032051
, 2020
18
2020
Quantum Gaussian process model of potential energy surface for a polyatomic molecule
J Dai, RV Krems
The Journal of Chemical Physics 156 (18)
, 2022
7
2022
Neural network Gaussian processes as efficient models of potential energy surfaces for polyatomic molecules
J Dai, RV Krems
Machine Learning: Science and Technology 4 (4), 045027
, 2023
2
2023
Benchmarking of quantum fidelity kernels for Gaussian process regression
X Guo, J Dai, RV Krems
arXiv preprint arXiv:2407.15961
, 2024
2024
Applications of classical and quantum machine learning for quantum problems
J Dai
University of British Columbia
, 2023
2023
Gausian processes for system-agnostic construction of high-dimensional PES with sparse ab initio data
J Dai, H Sugisawa, T Ida, R Krems
APS Division of Atomic, Molecular and Optical Physics Meeting Abstracts 2020 …
, 2020
2020
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