JARVIS

The JARVIS dataset is a benchmark that contains data on material properties used to evaluate the performance of models in predicting material characteristics, particularly for hybrid organic-inorganic perovskites.

Papers using JARVIS (5)

A Cartesian Encoding Graph Neural Network for Crystal Structures Property Prediction: Application to Thermal Ellipsoid Estimation2025 · 6 citesMatMMFuse: Multi-Modal Fusion model for Material Property Prediction2025Quotient Complex Transformer (QCformer) for Perovskite Data Analysis2025ReciNet: Reciprocal Space-Aware Long-Range Modeling for Crystalline Property Prediction2025Addressing the Accuracy-Cost Tradeoff in Material Property Prediction: A Teacher-Student Strategy2023