Hard-constraint physics-residual networks for hydrogen crossover prediction and high-pressure extrapolation in PEM water electrolysis | Paper Citation Record

Observation 0335b84c-456e-459c-9ddb-821cce56f752 · outbound

This paper cites International Journal of Hydrogen Energy38, 4901–4934 (2013).

Hard-constraint physics-residual networks for hydrogen crossover prediction and high-pressure extrapolation in PEM water electrolysis International Journal of Hydrogen Energy38, 4901–4934 (2013)

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Observation 80dca1e4-f29e-47b1-b222-d8e071f99672 · outbound

This paper cites International Journal of Hydrogen Energy45, 26036–26058 (2020).

Hard-constraint physics-residual networks for hydrogen crossover prediction and high-pressure extrapolation in PEM water electrolysis International Journal of Hydrogen Energy45, 26036–26058 (2020)

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Observation 23249d7c-aea6-4ba9-b306-cb1683325d4f · outbound

This paper cites Materials Science for Energy Technologies2, 442–454 (2019).

Hard-constraint physics-residual networks for hydrogen crossover prediction and high-pressure extrapolation in PEM water electrolysis Materials Science for Energy Technologies2, 442–454 (2019)

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This paper cites International Journal of Hydro- gen Energy42(21), 14355–14366 (2017) https://doi.org/10.1016/j.ijhydene.2017.

Hard-constraint physics-residual networks for hydrogen crossover prediction and high-pressure extrapolation in PEM water electrolysis International Journal of Hydro- gen Energy42(21), 14355–14366 (2017) https://doi.org/10.1016/j.ijhydene.2017

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Observation e3dc39a4-f774-4098-a369-1575609ed31c · outbound

This paper cites International Journal of Hydrogen Energy38(35), 14921–14933 (2013) https://doi.org/10.1016/j.ijhydene.2013.09.

Hard-constraint physics-residual networks for hydrogen crossover prediction and high-pressure extrapolation in PEM water electrolysis International Journal of Hydrogen Energy38(35), 14921–14933 (2013) https://doi.org/10.1016/j.ijhydene.2013.09

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Observation 20abcd81-4407-476a-83cf-8368a5fb81d7 · outbound

This paper cites Electrochimica Acta377, 138085 (2021).

Hard-constraint physics-residual networks for hydrogen crossover prediction and high-pressure extrapolation in PEM water electrolysis Electrochimica Acta377, 138085 (2021)

Reference 6

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Observation 78af147f-8927-46e6-b8b1-b36e927542f1 · outbound

This paper cites Journal of Power Sources366, 33–55 (2017).

Hard-constraint physics-residual networks for hydrogen crossover prediction and high-pressure extrapolation in PEM water electrolysis Journal of Power Sources366, 33–55 (2017)

Reference 7

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Observation 09b09456-3d03-4bf5-9a76-d557b13654c5 · outbound

This paper cites International Journal of Hydrogen Energy42, 30470–30492 (2017).

Hard-constraint physics-residual networks for hydrogen crossover prediction and high-pressure extrapolation in PEM water electrolysis International Journal of Hydrogen Energy42, 30470–30492 (2017)

Reference 8

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Observation 24ace270-944e-49b1-9f9e-a4a59f7381f4 · outbound

This paper cites International Journal of Hydrogen Energy 42, 26203–26216 (2017).

Hard-constraint physics-residual networks for hydrogen crossover prediction and high-pressure extrapolation in PEM water electrolysis International Journal of Hydrogen Energy 42, 26203–26216 (2017)

Reference 9

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Observation 4088a82d-e48d-41e1-afeb-1b0a03632d88 · outbound

This paper cites International Journal of Hydrogen Energy40, 7006–7016 (2015).

Hard-constraint physics-residual networks for hydrogen crossover prediction and high-pressure extrapolation in PEM water electrolysis International Journal of Hydrogen Energy40, 7006–7016 (2015)

Reference 10

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This paper cites Energy152, 237–246 (2018).

Hard-constraint physics-residual networks for hydrogen crossover prediction and high-pressure extrapolation in PEM water electrolysis Energy152, 237–246 (2018)

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Observation bf8dc7ed-c50e-470b-8d26-d63fdca2a838 · outbound

This paper cites Energy Conversion and Management49, 2748–2756 (2008).

Hard-constraint physics-residual networks for hydrogen crossover prediction and high-pressure extrapolation in PEM water electrolysis Energy Conversion and Management49, 2748–2756 (2008)

Reference 12

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Observation 43095f57-9c3d-4763-93cc-e7688c2cbb35 · outbound

This paper cites International Journal of Hydrogen Energy 37, 1927–1938 (2012).

Hard-constraint physics-residual networks for hydrogen crossover prediction and high-pressure extrapolation in PEM water electrolysis International Journal of Hydrogen Energy 37, 1927–1938 (2012)

Reference 13

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Observation 6255b04d-51ec-492c-bbb9-60f35d42da89 · outbound

This paper cites International Journal of Hydrogen Energy36, 14779–14786 (2011).

Hard-constraint physics-residual networks for hydrogen crossover prediction and high-pressure extrapolation in PEM water electrolysis International Journal of Hydrogen Energy36, 14779–14786 (2011)

Reference 14

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This paper cites Energies15, 6657 (2022).

Hard-constraint physics-residual networks for hydrogen crossover prediction and high-pressure extrapolation in PEM water electrolysis Energies15, 6657 (2022)

Reference 15

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This paper cites Journal of Power Sources556, 232486 (2023).

Hard-constraint physics-residual networks for hydrogen crossover prediction and high-pressure extrapolation in PEM water electrolysis Journal of Power Sources556, 232486 (2023)

Reference 16

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Observation 306aa2f3-d479-4dd7-b1cd-8b65e1b2b54e · outbound

This paper cites Applied Energy368, 123550 (2024).

Hard-constraint physics-residual networks for hydrogen crossover prediction and high-pressure extrapolation in PEM water electrolysis Applied Energy368, 123550 (2024)

Reference 17

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Observation 4c4aaaf6-7b3f-4986-a24e-0d40039d276e · outbound

This paper cites Nature Reviews Physics3, 422–440 (2021).

Hard-constraint physics-residual networks for hydrogen crossover prediction and high-pressure extrapolation in PEM water electrolysis Nature Reviews Physics3, 422–440 (2021)

Reference 18

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This paper cites Journal of Computational Physics378, 686–707 (2019).

Hard-constraint physics-residual networks for hydrogen crossover prediction and high-pressure extrapolation in PEM water electrolysis Journal of Computational Physics378, 686–707 (2019)

Reference 19

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Observation 9ef80dc4-0f54-4d20-9c5a-d59def683aab · outbound

This paper cites Nature Reviews Physics3, 422–440 (2021).

Hard-constraint physics-residual networks for hydrogen crossover prediction and high-pressure extrapolation in PEM water electrolysis Nature Reviews Physics3, 422–440 (2021)

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Observation b0c007b4-0b2c-440c-a83b-dbb06cd6e3f9 · outbound

This paper cites Computer Methods in Applied Mechanics and Engineering361, 112732 (2020) 16.

Hard-constraint physics-residual networks for hydrogen crossover prediction and high-pressure extrapolation in PEM water electrolysis Computer Methods in Applied Mechanics and Engineering361, 112732 (2020) 16

Reference 21

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This paper cites Journal of Computational Physics426, 109951 (2021).

Hard-constraint physics-residual networks for hydrogen crossover prediction and high-pressure extrapolation in PEM water electrolysis Journal of Computational Physics426, 109951 (2021)

Reference 22

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This paper cites Journal of Heat Transfer143, 060801 (2021).

Hard-constraint physics-residual networks for hydrogen crossover prediction and high-pressure extrapolation in PEM water electrolysis Journal of Heat Transfer143, 060801 (2021)

Reference 23

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Observation d8e18a71-a412-4d1e-9579-d0b50ae95ae8 · outbound

This paper cites Energy AI20, 100474 (2025).

Hard-constraint physics-residual networks for hydrogen crossover prediction and high-pressure extrapolation in PEM water electrolysis Energy AI20, 100474 (2025)

Reference 24

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Observation 9ac64bc3-ebd5-4e19-9e7e-38e7ee9fecb5 · outbound

This paper cites Applied Energy382, 125048 (2025).

Hard-constraint physics-residual networks for hydrogen crossover prediction and high-pressure extrapolation in PEM water electrolysis Applied Energy382, 125048 (2025)

Reference 25

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This paper cites Modeling Membrane Degradation in PEM Electrolyzers with Physics-Informed Neural Networks.

Hard-constraint physics-residual networks for hydrogen crossover prediction and high-pressure extrapolation in PEM water electrolysis Modeling Membrane Degradation in PEM Electrolyzers with Physics-Informed Neural Networks

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This paper cites International Journal of Hydrogen Energy36(3), 2721–2728 (2011) https://doi.

Hard-constraint physics-residual networks for hydrogen crossover prediction and high-pressure extrapolation in PEM water electrolysis International Journal of Hydrogen Energy36(3), 2721–2728 (2011) https://doi

Reference 27

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This paper cites International Journal of Hydrogen Energy45(7), 4008–4014 (2020) https://doi.org/10.1016/j.ijhydene.2019.12.029.

Hard-constraint physics-residual networks for hydrogen crossover prediction and high-pressure extrapolation in PEM water electrolysis International Journal of Hydrogen Energy45(7), 4008–4014 (2020) https://doi.org/10.1016/j.ijhydene.2019.12.029

Reference 28

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This paper cites Journal of The Electrochemical Society168(9), 094509 (2021) https://doi.org/10.1149/1945-7111/ac275b.

Hard-constraint physics-residual networks for hydrogen crossover prediction and high-pressure extrapolation in PEM water electrolysis Journal of The Electrochemical Society168(9), 094509 (2021) https://doi.org/10.1149/1945-7111/ac275b

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Hard-constraint physics-residual networks for hydrogen crossover prediction and high-pressure extrapolation in PEM water electrolysis Journal of The Electrochemical Society166(13), 873 (2019) https: //doi.org/10.1149/2.0111913jes

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Hard-constraint physics-residual networks for hydrogen crossover prediction and high-pressure extrapolation in PEM water electrolysis Journal of The Electrochemical Society167(12), 124502 (2020) https: //doi.org/10.1149/1945-7111/abaa68

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This paper cites International Journal of Hydrogen Energy135, 499–506 (2025) https://doi.org/10.1016/j.ijhydene.2025.04.404.

Hard-constraint physics-residual networks for hydrogen crossover prediction and high-pressure extrapolation in PEM water electrolysis International Journal of Hydrogen Energy135, 499–506 (2025) https://doi.org/10.1016/j.ijhydene.2025.04.404

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This paper cites Journal of The Electrochemical Society133, 88–92 (1986).

Hard-constraint physics-residual networks for hydrogen crossover prediction and high-pressure extrapolation in PEM water electrolysis Journal of The Electrochemical Society133, 88–92 (1986)

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This paper cites International Journal of Hydrogen Energy36, 2462–2470 (2011).

Hard-constraint physics-residual networks for hydrogen crossover prediction and high-pressure extrapolation in PEM water electrolysis International Journal of Hydrogen Energy36, 2462–2470 (2011)

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Hard-constraint physics-residual networks for hydrogen crossover prediction and high-pressure extrapolation in PEM water electrolysis IEA Publications, ??? (2019)

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Hard-constraint physics-residual networks for hydrogen crossover prediction and high-pressure extrapolation in PEM water electrolysis Brussels: European Commission (2020)

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This paper cites Journal of Computing and Information Science in Engineering24, 040802 (2024).

Hard-constraint physics-residual networks for hydrogen crossover prediction and high-pressure extrapolation in PEM water electrolysis Journal of Computing and Information Science in Engineering24, 040802 (2024)

Reference 37

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Hard-constraint physics-residual networks for hydrogen crossover prediction and high-pressure extrapolation in PEM water electrolysis Computers and Fluids280, 106370 (2024)

Reference 38

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This paper cites Strong-weak symmetry and quantum modularity of resurgent topological strings on local $\mathbb{P}^2$.

Hard-constraint physics-residual networks for hydrogen crossover prediction and high-pressure extrapolation in PEM water electrolysis Strong-weak symmetry and quantum modularity of resurgent topological strings on local $\mathbb{P}^2$

Reference 39

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Hard-constraint physics-residual networks for hydrogen crossover prediction and high-pressure extrapolation in PEM water electrolysis In: Proceedings of the 13th International Conference on Artificial Intelligence and Statistics, pp

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Hard-constraint physics-residual networks for hydrogen crossover prediction and high-pressure extrapolation in PEM water electrolysis Adam: A Method for Stochastic Optimization

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This paper cites International Journal of Hydrogen Energy48, 22486–22501 (2023).

Hard-constraint physics-residual networks for hydrogen crossover prediction and high-pressure extrapolation in PEM water electrolysis International Journal of Hydrogen Energy48, 22486–22501 (2023)

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This paper cites Technical Report NREL/TP-6A20-72740, National Renew- able Energy Laboratory (2019).

Hard-constraint physics-residual networks for hydrogen crossover prediction and high-pressure extrapolation in PEM water electrolysis Technical Report NREL/TP-6A20-72740, National Renew- able Energy Laboratory (2019)

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Hard-constraint physics-residual networks for hydrogen crossover prediction and high-pressure extrapolation in PEM water electrolysis Technical Report NREL/TP-6A20-72740, National Renewable Energy Laboratory (2019)

Reference 44

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This paper cites Department of Energy: Clean hydrogen production cost pem electrolyzer.

Hard-constraint physics-residual networks for hydrogen crossover prediction and high-pressure extrapolation in PEM water electrolysis Department of Energy: Clean hydrogen production cost pem electrolyzer

Reference 45

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Hard-constraint physics-residual networks for hydrogen crossover prediction and high-pressure extrapolation in PEM water electrolysis Department of Energy: Manufacturing cost analysis for pem electrolyzers

Reference 46

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This paper cites Technical report, Center on Global Energy Policy, Columbia University (2023).

Hard-constraint physics-residual networks for hydrogen crossover prediction and high-pressure extrapolation in PEM water electrolysis Technical report, Center on Global Energy Policy, Columbia University (2023)

Reference 47

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This paper cites Technical report, Pacific Northwest National Laboratory (2020).

Hard-constraint physics-residual networks for hydrogen crossover prediction and high-pressure extrapolation in PEM water electrolysis Technical report, Pacific Northwest National Laboratory (2020)

Reference 48

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Hard-constraint physics-residual networks for hydrogen crossover prediction and high-pressure extrapolation in PEM water electrolysis Technical Report DOE/EERE-2019, U.S

Reference 49

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