Accelerating the Prediction of Superconducting Hydrides Using Data-Derived Potentials
ORAL · Invited
Abstract
I will show how machine-learning potentials can be used to circumvent some of the limitations presented by density functional materials. In particular, I will demonstrate how Ephemeral Data-Derived Potentials (EDDPs) [3] can be used to accelerate the prediction of hydrides and to further understand synthesis routes to access metastable states.
The approach is easy to automate and has been applied to a wide range of hydride materials across the periodic table, predicting several previously unknown stable structure types with large unit cells, unusual stoichiometries and novel chemical motifs. We have also used these potentials to better understand the stability our recently predicted ambient-pressure high-temperature Mg-Ir-H superconductor. [4]
The use machine-learning potentials for multi-species crystal structure prediction presents a new avenue to explore and revisit known phase diagrams.
[1] Zurek, Eva. ‘Hydrides of the Alkali Metals and Alkaline Earth Metals Under Pressure’. Comments on Inorganic Chemistry 37, no. 2 (4 March 2017): 78–98. https://doi.org/10.1080/02603594.2016.1196679.
[2] Song, Hao, Zihan Zhang, Tian Cui, Chris J. Pickard, Vladimir Z. Kresin, and Defang Duan. ‘High Tc Superconductivity in Heavy Rare Earth Hydrides’. Chinese Physics Letters 38, no. 10 (1 October 2021): 107401. https://doi.org/10.1088/0256-307X/38/10/107401.
[3] Pickard, Chris J. ‘Ephemeral Data Derived Potentials for Random Structure Search’. Physical Review B 106, no. 1 (7 July 2022): 014102. https://doi.org/10.1103/PhysRevB.106.014102.
[4] K. Dolui, L. J. Conway, C. Heil, T. A. Strobel, R. Prasankumar, and C. J. Pickard, ‘Feasible route to high-temperature ambient-pressure hydride superconductivity’. arXiv, Oct. 11, 2023. Accessed: Oct. 18, 2023. [Online]. Available: http://arxiv.org/abs/2310.07562
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Publication: K. Dolui, L. J. Conway, C. Heil, T. A. Strobel, R. Prasankumar, and C. J. Pickard, 'Feasible route to high-temperature ambient-pressure hydride superconductivity'. arXiv, Oct. 11, 2023. Accessed: Oct. 18, 2023. [Online]. Available: http://arxiv.org/abs/2310.07562
P. T. Salzbrenner et al., 'Developments and further applications of ephemeral data derived potentials', The Journal of Chemical Physics, vol. 159, no. 14, p. 144801, Oct. 2023, doi: 10.1063/5.0158710.
E. Siska et al., 'Ultra-fast yttrium hydride chemistry at high pressures via non-equilibrium states induced by x-ray free electron laser'. arXiv, Jul. 20, 2023. [Online]. Available: http://arxiv.org/abs/2307.11293
S.-W. Kim, L. J. Conway, C. J. Pickard, G. L. Pascut, and B. Monserrat, 'Microscopic theory of colour in lutetium hydride (In Press, Nature Comms.)'. arXiv, Apr. 14, 2023. [Online]. Available: http://arxiv.org/abs/2304.07326
P. P. Ferreira et al., 'Search for ambient superconductivity in the Lu-N-H system', Nat Commun, vol. 14, no. 1, p. 5367, Sep. 2023, doi: 10.1038/s41467-023-41005-2.
Presenters
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Lewis J Conway
Univ of Cambridge, University of Cambridge
Authors
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Lewis J Conway
Univ of Cambridge, University of Cambridge
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Chris J Pickard
Univ of Cambridge