Digital twin generation for adsorption in porous materials using Stochastic MorphoDeep
Abstract Adsorption dynamics in complex porous materials are vital in fields like catalysis and environmental engineering, yet their modeling is hindered by intricate pore morphology and network geometry. Here, we introduce Stochastic MorphoDeep, a digital twin generator that employs stochastic mode...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-08-01
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| Series: | Communications Materials |
| Online Access: | https://doi.org/10.1038/s43246-025-00906-z |
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