Inverse design with deep generative models: next step in materials discovery
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Updated: Aug 31, 2025

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Using Generative Art to Convey Past and Future Climate Transitions
Published on: March 31, 2023
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Shuaihua Lu1, Qionghua Zhou1, Xinyu Chen1
1School of Physics, Southeast University, China.
National Science Review
|August 22, 2022
Abstract:
Data-driven inverse design for inorganic functional materials is a rapidly emerging field, which aims to automatically design innovative materials with target properties and to enable property-to-structure material discovery.
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