Generative design of stable semiconductor materials using deep learning and density functional theory

Research article (npj Computational Materials, 2022) · cited 25× · AI/ML
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Generative design of stable semiconductor materials using deep learning and density functional theory

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Generative design of stable semiconductor materials using deep learning and density functional theory is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Generative design of stable semiconductor materials using deep learning and density functional theory. Retrieved May 24, 2026, from https://4ort.xyz/entity/generative-design-of-stable-semiconductor-materials-using-deep-learning-and-density-functional-theory
MLA “Generative design of stable semiconductor materials using deep learning and density functional theory.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/generative-design-of-stable-semiconductor-materials-using-deep-learning-and-density-functional-theory.
BibTeX @misc{4ortxyz_generative-design-of-stable-semiconductor-materials-using-deep-learning-and-density-functional-theory_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Generative design of stable semiconductor materials using deep learning and density functional theory}}, year = {2026}, url = {https://4ort.xyz/entity/generative-design-of-stable-semiconductor-materials-using-deep-learning-and-density-functional-theory}, note = {Accessed: 2026-05-24}}
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