An interpretable deep learning approach for designing nanoporous silicon nitride membranes with tunable mechanical properties

Research article (npj Computational Materials, 2023) · cited 19× · AI/ML
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An interpretable deep learning approach for designing nanoporous silicon nitride membranes with tunable mechanical properties

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An interpretable deep learning approach for designing nanoporous silicon nitride membranes with tunable mechanical properties is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An interpretable deep learning approach for designing nanoporous silicon nitride membranes with tunable mechanical properties. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-interpretable-deep-learning-approach-for-designing-nanoporous-silicon-nitride-membranes-with-tunable-mechanical-prope
MLA “An interpretable deep learning approach for designing nanoporous silicon nitride membranes with tunable mechanical properties.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-interpretable-deep-learning-approach-for-designing-nanoporous-silicon-nitride-membranes-with-tunable-mechanical-prope.
BibTeX @misc{4ortxyz_an-interpretable-deep-learning-approach-for-designing-nanoporous-silicon-nitride-membranes-with-tunable-mechanical-prope_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An interpretable deep learning approach for designing nanoporous silicon nitride membranes with tunable mechanical properties}}, year = {2026}, url = {https://4ort.xyz/entity/an-interpretable-deep-learning-approach-for-designing-nanoporous-silicon-nitride-membranes-with-tunable-mechanical-prope}, note = {Accessed: 2026-05-24}}
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