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Band Gap

Papers

Showing 125 of 60 papers

TitleStatusHype
CrystalFormer-RL: Reinforcement Fine-Tuning for Materials DesignCode2
A Cartesian Encoding Graph Neural Network for Crystal Structures Property Prediction: Application to Thermal Ellipsoid EstimationCode1
Establishing baselines for generative discovery of inorganic crystalsCode1
Dielectric Tensor Prediction for Inorganic Materials Using Latent Information from Preferred PotentialCode1
Pushing the Pareto front of band gap and permittivity: ML-guided search for dielectric materialsCode1
LLM-Prop: Predicting Physical And Electronic Properties Of Crystalline Solids From Their Text DescriptionsCode1
Materials Property Prediction with Uncertainty Quantification: A Benchmark StudyCode1
OQM9HK: A Large-Scale Graph Dataset for Machine Learning in Materials ScienceCode1
Periodic Graph Transformers for Crystal Material Property PredictionCode1
Scalable deeper graph neural networks for high-performance materials property predictionCode1
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
Text to Band Gap: Pre-trained Language Models as Encoders for Semiconductor Band Gap PredictionCode0
Predicting band gap from chemical composition: A simple learned model for a material property with atypical statistics0
AI-driven Inverse Design of Band-Tunable Mechanical Metastructures for Tailored Vibration Mitigation0
Graph Transformer Networks for Accurate Band Structure Prediction: An End-to-End Approach0
Assessing data-driven predictions of band gap and electrical conductivity for transparent conducting materials0
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