Crystal

Momentum

5 papers in the last four weeks, up 67% on the four weeks before. 0.0% of all new papers.

Jul 13Week of Sep 28

Latest papers 33

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  1. EP-Flow: Disordered Crystal Structure Prediction without Site-Level Annotations

    Oct 1, 2026Qiuliang Liu, Liming Wu, Qi Li +5Crystal Structure PredictionCrystal

  2. Where Should Physics Enter a Molecular Crystal Generator?

    Sep 28, 2026Haocheng Tang, Junmei Wang, Wengong JinCrystal StructureCrystal Structure Prediction

  3. CrystalMO-TuRBO: Multi-Objective Trust-Region Bayesian Optimization for High-precision Joint Crystal Structure Refinement

    Sep 17, 2026Joseph Agada, Yishu Wang, Arpan BiswasPowder X-Ray DiffractionCrystal Structure

  4. Hypothesis-Driven Autonomous Materials Synthesis with Multimodal LLM Agents

    Sep 16, 2026Izumi Takahara, Kazunori Nishio, Akira Aiba +4Data-Driven Materials DiscoverySynthesis

  5. Learning Materials Properties from Scarce Labels and Unlabeled Crystals

    Aug 31, 2026Wentao Li, Yizhe Chen, Jiangjie Qiu +3Data-Driven Materials DiscoveryMaterials

  6. The parity gap in crystal tensor prediction

    Aug 19, 2026Can Polat, Mustafa Kurban, Erchin Serpedin +1SymmetryCrystal Structure

  7. Symmetry-Breaking De Novo Crystal Generation via Markovian Jump Diffusion

    Aug 13, 2026Van Khoa Nguyen, Alexandros KalousisCrystal StructureCrystal

  8. DynaCrys: Crystal Generation with Dynamic Space-Group Diffusion

    Aug 7, 2026Zhuotao Jin, Xiaoyun Wang, Nicholas Brawand +5Crystal StructureCrystal

  9. From Test-Time Scaling to Reusable Memory: Measuring Crystallization in Text-to-SQL

    Aug 7, 2026Jiaqian Wang, Yutao Qi, Wenjin Hou +2Text-To-SqlTest-Time Scaling

  10. CrystalGRPO: Target-Aligned and Coverage-Preserving Reinforcement Learning for Flow-Based Crystal Structure Prediction

    Aug 6, 2026Kaixiang Su, Hongfei Xue, Qiang ZhuCrystal Structure PredictionCrystal

  11. Dual-Level Atomic and Coordination Geometry Learning for Crystal Property Prediction Using Graph Neural Networks

    Jul 17, 2026Sanjay ChakrabortyGraph Neural NetworksCrystal

  12. Towards Physical Intuitions for Alignment Dynamics: A Case Study With Randomness Crystallization

    Jun 29, 2026Kunal Samanta, Ari Holtzman, Peter WestPhase TransitionsLarge Language Model Alignment

  13. The CRISTAL Method: Neurosymbolic analysis from AI-synthesized world models

    Jun 29, 2026Rafael Kaufmann, Felix Neubürger, Michael Walters +2Neuro-Symbolic FrameworkData Science Agents

  14. Optimizing Expert-Designed Crystal Graph Networks for Band-Gap Prediction with an Autonomous LLM Research Loop

    Jun 29, 2026Chenmu Zhang, Boris I. YakobsonMaterials ScienceCrystal

  15. Surrogate-Gated Generation and Foundation-Model Embeddings for Bayesian Materials Design

    Jun 26, 2026Sk Md Ahnaf Akif Alvi, Jan Janssen, Danny Perez +2Data-Driven Materials DiscoveryCrystal

  16. Substitution-Based Analysis of Structural Novelty for Generative Models of Materials

    Jun 22, 2026Masahiro Negishi, Aron WalshCrystal StructureCrystal

  17. SVGym (SciVerseGym): An Environment for Reinforcement Learning and Bayesian Optimization in Crystal Discovery

    Jun 21, 2026Bin CaoCrystalData-Driven Materials Discovery

  18. LapidaryEngine: Fully Conversational Crystal Generation

    Jun 12, 2026Yusei Ito, Yuta Suzuki, Tomoya Murata +1CrystalMolecular Generation

  19. Latent Diffusion Pretraining for Crystal Property Prediction

    May 30, 2026Shrimon Mukherjee, Kishalay Das, Partha Basuchowdhuri +2CrystalPhysics-Guided Diffusion

  20. Composable Crystals: Controllable Materials Discovery via Concept Learning

    May 14, 2026Nian Liu, Yuwei Zeng, Ryoji Kubo +7CrystalData-Driven Materials Discovery

  21. Crys-JEPA: Accelerating Crystal Discovery via Embedding Screening and Generative Refinement

    May 14, 2026Nian Liu, Nikita Kazeev, Stephen Gregory Dale +8CrystalMolecular Generation

  22. CrystalREPA: Transferring Physical Priors from Universal MLIPs to Crystal Generative Models

    May 9, 2026Chengqian Zhang, Yucheng Jin, Duo Zhang +2CrystalInteratomic Potentials

  23. SLayerGen: a Crystal Generative Model for all Space and Layer Groups

    May 7, 2026Rees Chang, Andrew Novick, Ryan P Adams +1Crystal StructureCrystal

  24. VibroML: an automated toolkit for high-throughput vibrational analysis and dynamic instability remediation of crystalline materials using machine-learned potentials

    Apr 30, 2026Rogério Almeida Gouvêa, Gian-Marco RignaneseInteratomic PotentialsCrystal

  25. Crystal structure prediction using graph neural combinatorial optimization

    Apr 27, 2026Stavros Gerolymatos, J. Kyle Brubaker, Martin J. A. Schuetz +1Crystal Structure PredictionCrystal

  26. Crystal Fractional Graph Neural Network for Energy Prediction of High-Entropy Alloys

    Apr 26, 2026Takanori Kotama, Yang HuangCrystal Structure PredictionFirst-Principles Calculation

  27. Neural surrogates for crystal growth dynamics with variable supersaturation: explicit vs. implicit conditioning

    Apr 23, 2026Matteo Rigoni, Daniele Lanzoni, Francesco Montalenti +1Surrogate ModelsCrystal

  28. Finetuning-Free Diffusion Model with Adaptive Constraint Guidance for Inorganic Crystal Structure Generation

    Apr 14, 2026Auguste de Lambilly, Vladimir Baturin, David Portehault +4Crystal StructureCrystal

  29. Crystalite: A Lightweight Transformer for Efficient Crystal Modeling

    Apr 2, 2026Tin Hadži Veljković, Joshua Rosenthal, Ivor Lončarić +1Crystal StructureCrystal

  30. NextCrystal: a Symmetry-Driven Generative Framework for Crystal Structure Prediction

    Feb 19, 2026Jinming Mu, Lixin He, Xudong Zhu +1Crystal StructureCrystal