| AI-driven Inverse Design of Band-Tunable Mechanical Metastructures for Tailored Vibration Mitigation | Dec 3, 2024 | Band Gap | —Unverified | 0 |
| Graph Transformer Networks for Accurate Band Structure Prediction: An End-to-End Approach | Nov 25, 2024 | Band Gap | —Unverified | 0 |
| Assessing data-driven predictions of band gap and electrical conductivity for transparent conducting materials | Nov 21, 2024 | Band GapProperty Prediction | —Unverified | 0 |
| Energy-GNoME: A Living Database of Selected Materials for Energy Applications | Nov 15, 2024 | Band GapComputational chemistry | —Unverified | 0 |
| Rethinking Gradient-Based Methods: Multi-Property Materials Design Beyond Differentiable Targets | Oct 11, 2024 | Band GapBayesian Optimization | CodeCode Available | 0 |
| Evaluating the Performance and Robustness of LLMs in Materials Science Q&A and Property Predictions | Sep 22, 2024 | Band GapIn-Context Learning | —Unverified | 0 |
| Phononic materials with effectively scale-separated hierarchical features using interpretable machine learning | Aug 15, 2024 | Band GapInterpretable Machine Learning | —Unverified | 0 |
| Enhancing material property prediction with ensemble deep graph convolutional networks | Jul 26, 2024 | Band GapFormation Energy | —Unverified | 0 |
| SciQu: Accelerating Materials Properties Prediction with Automated Literature Mining for Self-Driving Laboratories | Jul 11, 2024 | ArticlesBand Gap | CodeCode Available | 0 |
| Establishing Deep InfoMax as an effective self-supervised learning methodology in materials informatics | Jun 30, 2024 | Band GapFormation Energy | CodeCode Available | 0 |
