Inverse Design of Solid-State Materials via a Continuous Representation

Keyphrases

• Continuous Representation 100%
• Generative Models 100%
• Inverse Design 100%
• Vanadium Oxide 100%
• Solid-state Materials 100%
• Inorganic Solids 75%
• Machine Learning 50%
• Materials Research 50%
• Invertible 50%
• Synthesizable 50%
• Material Design 50%
• New Discovery 50%
• Autoencoder 25%
• Computational Efficiency 25%
• Image-based 25%
• Search Space 25%
• Solid State 25%
• Crystal Structure Prediction 25%
• Invertibility 25%
• Machine Learning Models 25%
• Genetic Algorithm 25%
• Image Representation 25%
• Data Science 25%
• Accurate Reconstruction 25%
• Functional Materials 25%
• Materials Science 25%
• Reconstruction Performance 25%
• New Polymorph 25%
• Science Learning 25%
• Serendipitous Discovery 25%
• Chemical Intuition 25%
• Targeting Property 25%
• Proof-of-concept Demonstration 25%
• Empirical Rules 25%
• Composition Space 25%
• Latent Space Representation 25%
• Crystal Polymorphism 25%
• Inorganic Functional Materials 25%
• Featurization 25%
• New Composition 25%
• Traditional Strategies 25%
• Experimental Material 25%

Material Science

• Vanadium 100%
• Oxide Compound 100%
• Functional Material 50%
• Materials Design 50%
• Polymorphism 50%
• Model in Materials Science 25%
• Phase Composition 25%
• Crystal Structure 25%
• Structure Prediction 25%