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David T. Limmer

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2020 – today

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2023
[j3]
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  - journals/mlst/LiangSZLY23
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  - https://dblp.org/rec/journals/mlst/LiangSZLY23
Senwei Liang, Aditya N. Singh, Yuanran Zhu, David T. Limmer, Chao Yang:
Probing reaction channels via reinforcement learning. Mach. Learn. Sci. Technol. 4(4): 45003 (2023)
[i2]
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  - journals/corr/abs-2305-17531
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Senwei Liang, Aditya N. Singh, Yuanran Zhu, David T. Limmer, Chao Yang:
Probing reaction channels via reinforcement learning. CoRR abs/2305.17531 (2023)
2021
[i1]
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  - journals/corr/abs-2105-04321
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Avishek Das, Dominic C. Rose, Juan P. Garrahan, David T. Limmer:
Reinforcement learning of rare diffusive dynamics. CoRR abs/2105.04321 (2021)
2020
[j2]
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  - journals/pieee/VadlamaniALLFY20
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Sri Krishna Vadlamani, Sapan Agarwal, David T. Limmer, Steven G. Louie, Felix R. Fischer, Eli Yablonovitch:
Tunnel-FET Switching Is Governed by Non-Lorentzian Spectral Line Shape. Proc. IEEE 108(8): 1235-1244 (2020)

2010 – 2019

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2017
[j1]
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  - journals/entropy/GaoL17a
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Chloe Ya Gao, David T. Limmer:
Transport Coefficients from Large Deviation Functions. Entropy 19(11): 571 (2017)

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