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Band Gap

Papers

Showing 125 of 60 papers

TitleStatusHype
CrystalFormer-RL: Reinforcement Fine-Tuning for Materials DesignCode2
Establishing baselines for generative discovery of inorganic crystalsCode1
Inverse design of two-dimensional materials with invertible neural networksCode1
Scalable deeper graph neural networks for high-performance materials property predictionCode1
Distributed Representations of Atoms and Materials for Machine LearningCode1
Learning Extremal Representations with Deep Archetypal AnalysisCode1
Materials Property Prediction with Uncertainty Quantification: A Benchmark StudyCode1
LLM-Prop: Predicting Physical And Electronic Properties Of Crystalline Solids From Their Text DescriptionsCode1
Periodic Graph Transformers for Crystal Material Property PredictionCode1
Active learning based generative design for the discovery of wide bandgap materialsCode1
OQM9HK: A Large-Scale Graph Dataset for Machine Learning in Materials ScienceCode1
Pushing the Pareto front of band gap and permittivity: ML-guided search for dielectric materialsCode1
Crystal Graph Neural Networks for Data Mining in Materials ScienceCode1
Dielectric Tensor Prediction for Inorganic Materials Using Latent Information from Preferred PotentialCode1
A Cartesian Encoding Graph Neural Network for Crystal Structures Property Prediction: Application to Thermal Ellipsoid EstimationCode1
Curvature-informed multi-task learning for graph networks0
Assessing data-driven predictions of band gap and electrical conductivity for transparent conducting materials0
Energy-GNoME: A Living Database of Selected Materials for Energy Applications0
Conversion Efficiency of Strained Wurtzite ZnSnN2/InxGa1-xN Cylindrical Quantum Dot Solar Cell Under Influence of Built-in Electric Field0
Graph Transformer Networks for Accurate Band Structure Prediction: An End-to-End Approach0
A Shared-Aperture Dual-Band sub-6 GHz and mmWave Reconfigurable Intelligent Surface With Independent Operation0
CAST: Cross Attention based multimodal fusion of Structure and Text for materials property prediction0
Estimation of Electronic Band Gap Energy From Material Properties Using Machine Learning0
Engineering Effective Hamiltonians for Magnetic Resonance0
Edge-based Tensor prediction via graph neural networks0
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