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"Efficient Surrogate Models for Materials Science Simulations: Machine ..."

Binh Duong Nguyen et al. (2023)

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DOI: 10.48550/ARXIV.2309.00305

access: open

type: Informal or Other Publication

metadata version: 2023-09-11

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  - journals/corr/abs-2309-00305
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  - https://dblp.org/rec/journals/corr/abs-2309-00305
Binh Duong Nguyen, Pavlo Potapenko, Aytekin Dermici, Kishan Govind, Stefan Sandfeld:
Efficient Surrogate Models for Materials Science Simulations: Machine Learning-based Prediction of Microstructure Properties. CoRR abs/2309.00305 (2023)

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