{"total":17,"rows":[{"id":"2512.04562","title":"LeMat-GenBench: A Unified Evaluation Framework for Crystal Generative Models","created":"2025-12-04","cited_by_count":23,"area":null},{"id":"2503.04725","title":"L$^2$M: Mutual Information Scaling Law for Long-Context Language Modeling","created":"2025-03-06","cited_by_count":9,"area":null},{"id":"2411.15221","title":"Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry","created":"2024-11-20","cited_by_count":8,"area":null},{"id":"2411.08664","title":"UniMat: Unifying Materials Embeddings through Multi-modal Learning","created":"2024-11-13","cited_by_count":6,"area":null},{"id":"2501.12919","title":"Bridging Text and Crystal Structures: Literature-driven Contrastive Learning for Materials Science","created":"2025-01-22","cited_by_count":4,"area":null},{"id":"2502.06836","title":"CAST: Cross Attention based multimodal fusion of Structure and Text for materials property prediction","created":"2025-02-06","cited_by_count":2,"area":null},{"id":"2505.02361","title":"Learning simple heuristic rules for classifying materials based on chemical composition","created":"2025-05-05","cited_by_count":2,"area":null},{"id":"2506.12312","title":"Perspective on Utilizing Foundation Models for Laboratory Automation in Materials Research","created":"2025-06-14","cited_by_count":2,"area":null},{"id":"2511.03095","title":"Sparse, self-organizing ensembles of local kernels detect rare statistical anomalies","created":"2025-11-05","cited_by_count":1,"area":null},{"id":"2511.18980","title":"MOCLIP: A Foundation Model for Large-Scale Nanophotonic Inverse Design","created":"2025-11-24","cited_by_count":1,"area":null},{"id":"2601.22009","title":"MEIDNet: Multimodal generative AI framework for inverse materials design","created":"2026-01-29","cited_by_count":1,"area":null},{"id":"2507.01054","title":"XxaCT-NN: Structure Agnostic Multimodal Learning for Materials Science","created":"2025-06-27","cited_by_count":0,"area":null},{"id":"2601.21527","title":"Sustainable Materials Discovery in the Era of Artificial Intelligence","created":"2026-01-29","cited_by_count":0,"area":null},{"id":"2602.02513","title":"Learning ORDER-Aware Multimodal Representations for Composite Materials Design","created":"2026-01-23","cited_by_count":0,"area":null},{"id":"2606.02507","title":"Towards Automated Discovery: A Review of Generative Models, Multimodal Learning and Closed-Loop Workflows in Inverse Materials Design","created":"2026-06-01","cited_by_count":0,"area":null},{"id":"2607.08470","title":"MatBind: A Shared Embedding Space for Multimodal Materials Characterization","created":"2026-07-09","cited_by_count":0,"area":null},{"id":"2609.27554","title":"PhyMo: A Physical-Field Modality for Multimodal AI4Physics","created":"2026-09-23","cited_by_count":0,"area":null}],"next_cursor":null}