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Band Gap

Papers

Showing 1120 of 60 papers

TitleStatusHype
Distributed Representations of Atoms and Materials for Machine LearningCode1
Inverse design of two-dimensional materials with invertible neural networksCode1
Active learning based generative design for the discovery of wide bandgap materialsCode1
Learning Extremal Representations with Deep Archetypal AnalysisCode1
Crystal Graph Neural Networks for Data Mining in Materials ScienceCode1
MatMMFuse: Multi-Modal Fusion model for Material Property PredictionCode0
Design Topological Materials by Reinforcement Fine-Tuned Generative Model0
Accurate predictive model of band gap with selected important features based on explainable machine learning0
CAST: Cross Attention based multimodal fusion of Structure and Text for materials property prediction0
Deep Neural Network for Phonon-Assisted Optical Spectra in Semiconductors0
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