Phase Transitions

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11 papers in the last four weeks, up 175% on the four weeks before. 0.1% of all new papers.

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  1. Learning ab initio phase-field models

    Oct 1, 2026Mengyi Chen, Peichen Zhong, Zihan Zhang +1Molecular DynamicsPorous Media

    Department of Mathematics, National University of Singapore, Singapore · Department of Materials Science and Engineering, National University of Singapore, Singapore · Institute for Functional Intelligent Materials, National University of Singapore, Singapore

  2. Absorbing State Phase Transitions in Multi-Agent Search

    Sep 29, 2026Wenwen Zheng, Yuzhe Yang, Helen Qu +2Multi-Agent PlanningPhase Transitions

    University of California, Santa Barbara · Flatiron Institute

  3. GAC-PINN: Geometry-Adaptive and Constraint-Enhanced Physics-Informed Neural Networks

    Sep 28, 2026Yanxin Zhang, Yong Zhang, Houbiao LiParametric Physics-Informed Neural NetworkNeural Network

    University of Electronic Science and Technology of China, Chengdu, 611731, Sichuan, China

  4. An Exploratory Replica-Overlap Probe of the Grokking Transition

    Sep 22, 2026A. C. Opus, J. Q. LuPhase TransitionsTransitions

    Department of Physics, University of Puerto Rico, Mayagüez, PR 00680, USA

  5. TetrisCNN for interpretable detection of phases of matter from experimental quantum simulator data

    Sep 17, 2026Kacper Cybiński, Björn van Zwol, James Enouen +5Quantum Neural NetworksPhase Transitions

    Faculty of Physics, University of Warsaw, Pasteura 5, 02-093 Warsaw, Poland · IDEAS Research Institute, Królewska 27, 00-060 Warsaw, Poland · Applied Quantum Algorithms ⟨aQaL⟩, LIACS & LION, Leiden University, The Netherlands +7

  6. Beyond Quadratic Loss: The Stability Phase Diagram of Adam

    Sep 16, 2026Gaoxiang Tang, Huanran Chen, Ziming LiuAdamAnisotropic Loss Landscapes

    IIIS, Tsinghua University · College AI, Tsinghua University · Shanghai Qizhi Institute +1

  7. Quenched Ensemble Sampling

    Sep 14, 2026David YallupPhase TransitionsEffective Field Theory

    Kavli Institute for Cosmology Cambridge Institute of Astronomy, University of Cambridge, Madingley Road, Cambridge, CB3 0HA, UK

  8. Floquet Fibre Geometry and Higher-Order Reduced Coordinates for Off-Manifold Transients near Nonlinear Aeroelastic Flutter

    Sep 13, 2026Puxue TanAerodynamicsPhase Transitions

    William Wright Technology Centre (W-Tech) School of Mechanical & Aerospace Engineering Queen’s University Belfast 50 Malone Road, Belfast, BT9 5BS, United Kingdom

  9. Phases in a class of associative memories via hidden neurons

    Sep 11, 2026Toshihiro Ota, Masato TakiHopfield NetworksNeurons

    CyberAgent AI Lab, Shibuya, Tokyo 150–0002, Japan · RIKEN iTHEMS, Wako, Saitama 351–0198, Japan · Graduate School of Artificial Intelligence and Science, Rikkyo University, Toshima, Tokyo 171–8501, Japan

  10. A Dominant Diffuse Phase in the Sparse Autoencoder Phase Diagram

    Sep 9, 2026Alexis D. PlascenciaSparse Autoencoder FeaturesPhase Transitions

  11. Temporal-Causal Inference for Reinforcement Learning via Automata Learning

    Sep 7, 2026Jan Corazza, Daniil Kaminskyi, Simon Lutz +4Markov Decision ProcessesCounterfactual Learning

    Research Center Trustworthy Data Science and Security, TU Dortmund University, Dortmund, 44227, Germany. · School for Engineering of Matter, Transport, and Energy at Arizona State University, Tempe, Az 85281, USA.

  12. FrOGS: Discrete Neural Sampler for Independent Alloy Configurations Across Chemical Conditions

    Sep 1, 2026Kyucheol Min, Elyssa Hofgard, Tess SmidtMarkov Chain Monte CarloAccelerated Sampling

    Massachusetts Institute of Technology Cambridge, MA 02139

  13. Large Language Models Can Follow Instructions, But Not Many at Once: Phase Transitions in Compositional Constraint Satisfaction

    Aug 12, 2026Mariya I. VasilevaLarge Language Models FailConstraint Satisfaction

    Work done while at Meta Superintelligence Labs.

  14. Scaling Laws for Majority-based Opinion Dynamics in the Presence of Stubborn Agents

    Aug 11, 2026Luke Meredith, Arpan MukhopadhyayStrategic AgentsPhase Transitions

    University of Warwick

  15. From Objectives to What Models Learn: A Landau Theory of Invariant Learning

    Aug 10, 2026Pinli Wang, Yue He, Peng CuiRegularizationPhase Transitions

    Department of Physics, Tsinghua University, Beijing, China · Department of Computer Science and Technology, Tsinghua University, Beijing, China

  16. Cascading Through the Hierarchy: Regularizer-Induced Feature Detection as Phase Transitions in Deep Linear Neural Networks

    Aug 6, 2026Björn Ladewig, Ibrahim Talha Ersoy, Karoline WiesnerFeature LearningAnisotropic Loss Landscapes

    Institute of Physics and Astronomy, University of Potsdam

  17. When Self-Evolution Backfires: Pre-Commit Gating against Skill Contamination in LLM Agents

    Aug 6, 2026Linfang Shang, Ming Xu, Yiding Sun +4Self-Evolving AgentsSelf-Evolution

    Tencent

  18. Emergence of Biased Consensus in Multi-Agent LLM Debates

    Aug 3, 2026Maya OkawaDebateConformity

    CBS-NTT Program in Physics of Intelligence, Harvard University · Physics of Artificial Intelligence Group, NTT Research, Inc.

  19. The Geometry of Semantic Space: A Continuous Geometric Framework for the Transformer Architecture

    Jul 19, 2026Zhihua LiangTransformer ArchitecturesVisual Geometry Grounded Transformer

    INFN, Sezione di Cagliari, I-09042 Monserrato (CA), Italy

  20. Solver-Hard Is Not Model-Hard: A Hardness-Controlled Diagnostic for LLM Constraint Reasoning

    Jul 19, 2026Lucky VermaLLM Reasoning StrategiesDiagnosis

    Independent Researcher

  21. An Emergent Mirage: Is Emergent Misalignment and Realignment Indeed a Robust Phenomenon?

    Jul 10, 2026Abhinav Rao, Liancheng Gong, Bin Hu +1Emergent MisalignmentLarge Language Model Alignment

    umd · cmu

  22. An exact information theory of generalization phase transitions in Bayesian diffusion models

    Jul 9, 2026Henry Hunt, Mason Kamb, Surya GanguliDiffusion ModelsInformation-Theoretic Limits

    Department of Applied Physics Stanford University Stanford, CA 94305

  23. Social-spatial dependencies for learning visual navigation

    Jul 8, 2026Patrick Govoni, Pawel RomanczukSafe NavigationSocial Dynamics

    Institute for Theoretical Biology, Department of Biology, Humboldt Universität zu Berlin, Berlin, Germany · Science of Intelligence, Research Cluster of Excellence, Berlin, Germany · Bernstein Center for Computational Neuroscience, Berlin, Germany

  24. Broken Ergodicity and the Violation of the Fluctuation-Dissipation Theorem Lead to Generalization Beyond Overfitting in Machine Learning

    Jul 5, 2026Chan Li, Nigel GoldenfeldFluctuation-Dissipation TheoremMean-Field Limit

    Department of Physics, University of California San Diego, 9500 Gilman Drive, La Jolla, California 92093, USA. · Halıcıoğlu Data Science Institute, University of California San Diego, 9500 Gilman Drive, La Jolla, California 92093, USA

  25. MatPhaseBench: A Semantics-Guided Benchmark for Materials Phase Diagrams Understanding

    Jul 3, 2026Hanwen Wang, Sihan Liang, Zhiwei Liu +4Materials ScienceDiagnostic Benchmark

    Computer Network Information Center, Chinese Academy of Sciences University of Chinese Academy of Sciences Beijing, China · University of Manchester Manchester, UK · Institute of Metal Research, Chinese Academy of Sciences Shenyang, China +1

  26. Aggregation with Exponential Weights is Optimal in Expectation

    Jul 2, 2026Mikael Møller Høgsgaard, Patrick Rebeschini, Tobias WegelModel SelectionPhase Transitions

    Department of Statistics, University of Oxford · Department of Computer Science, ETH Zurich

  27. A Mechanism-Driven Theory of Phase Transitions in Active Learning

    Jun 30, 2026Julia Machnio, Mads Nielsen, Mostafa Mehdipour GhaziActive LearningLearnability

    Pioneer Centre for AI, University of Copenhagen, Copenhagen, Denmark

  28. World-Model Collapse as a Phase Transition

    Jun 30, 2026Xinyuan Song, Zekun CaiLong-Horizon AgentsCollapse

    Emory University, Atlanta, GA, USA · The University of Tokyo, Tokyo, Japan · LocationMind, Tokyo, Japan

  29. Informational Frustration in Neural Manifolds: Shannon Bottlenecks and the Limits of Learnability

    Jun 29, 2026Srinivasa Rao P., Vangmayi P ReddyOverparameterizationLearnability

    Curlvee Technolabs, India, Former Scientist, C-DAC · Former Scientist, C-DAC · Indian Institute of Technology Madras, India

  30. Data-Driven Energy-Based Learning via Gibbs Measures on Hierarchical Structures

    Jun 29, 2026L. U. Abdullaev, F. Herrera, U. A. Rozikov +1GibbsTransition Learning

    National University of Singapore, Singapore · Department of Computer Science and Artificial Intelligence, University of Granada, E-18071 Granada, Spain · V.I. Romanovskiy Institute of Mathematics, Uzbekistan Academy of Sciences, 9, Universitet str., 100174, Tashkent, Uzbekistan +3

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

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

    University of British Columbia · University of Chicago

  32. Learning as Observable Matrix Dynamics: Diffusive Relaxations versus Phase Transitions

    Jun 29, 2026Igor HalperinSlow Relaxation ModesPhase Transitions

    All calculations, numerical analysis, and manuscript preparation were performed by Claude Code with Opus 4.7 working as an AI assistant under author's supervision.

  33. Black-Box Assisted Regression: Phase Transitions and Minimax Optimality

    Jun 24, 2026Yan ZhouEmpirical Risk MinimizationSemi-Supervised Learning

    School of Mathematics and Statistics, Changsha University of Science and Technology.

  34. A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction

    Jun 16, 2026Yuxiang Luo, Chen Wang, Nan TangContinual Fine-TuningModel Fine-Tuning

    The Hong Kong University of Science and Technology (Guangzhou).

  35. Noise-Driven Escape from Metastable Phases explains Grokking in Deep Neural Networks

    Jun 15, 2026Ibrahim Talha Ersoy, Karoline WiesnerGrokkingMetastable Samples

    Complexity Science Group, Institute of Physics and Astronomy, University of Potsdam, Potsdam, Germany

  36. Filtered ANN as a Phase Transition: When Selectivity-Estimation Error Causes Plan Regret

    Jun 15, 2026Madhulatha Mandarapu, Sandeep KunkunuruApproximate Nearest-Neighbor SearchPlan Regret

    VaidhyaMegha Private Limited, India

  37. Phase Transition in Convex Relaxations for Graph Alignment

    Jun 14, 2026Laurent Massoulié, Sushil Mahavir Varma, Louis Vassaux +1Convex RelaxationFull-Rank Correlation Matrices

    INRIA, DI/ENS, PSL Research University, Paris, France · Industrial and Operations Engineering, University of Michigan, Ann Arbor, Michigan, USA. · CNRS, INRIA, Universit´e Paris Dauphine, Paris, France

  38. Nonlinear Two-Time-Scale Stochastic Approximation: A Sharp Phase Transition and How to Beat It

    Jun 12, 2026Dhruv Sarkar, Vaneet AggarwalStochastic ApproximationFinite Time Analysis

    1Indian Institute of Technology Kharagpur · 2Mohamed bin Zayed University of Artificial Intelligence · 3Purdue University

  39. The Geometry of Phase Transitions in Generative Dynamics via Projection Caustics

    Jun 11, 2026Ryosuke Sakamoto, Kotaro SakamotoDiffusion ModelsPhase Transitions

    Institute for the Advanced Study of Human Biology, Institute for Advanced Study, Kyoto University · Graduate School of Engineering, The University of Tokyo

  40. Topical Phase Transitions in Artificial Intelligence Research: Large-Scale Evidence and an Early-Warning Signature for Emerging Topics

    Jun 11, 2026Rasul Khanbayov, Hasan KurbanArtificial Intelligence ResearchArtificial Intelligence Systems

    College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar.

  41. Phase Transitions in Attention: A Bayesian Theory of Copy Head Emergence

    Jun 10, 2026Itay Lavie, Kirsten Fischer, Andrey Lekov +3Phase TransitionsEmergence

    Racah Institute of Physics, Hebrew University of Jerusalem, Jerusalem 91904, Israel · John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA · Institute for Advanced Simulation (IAS-6), Computational and Systems Neuroscience, Jülich Research Center, Jülich 52428, Germany +3

  42. When to Align, When to Predict: A Phase Diagram for Multimodal Learning

    Jun 9, 2026Ilay Kamai, Hugues Van Assel, Aviv Regev +2Multimodal LearningMultimodal Representations

    Technion · Genentech · Brown University

  43. Data-driven discovery of governing differential equations across physical systems

    Jun 8, 2026Siyu Lou, Hao Xu, Wenguan Wang +6Ordinary Differential EquationsModel Discovery

    School of Computer Science, Shanghai Jiao Tong University, Shanghai, China · Ningbo Key Laboratory of Advanced Manufacturing Simulation, Eastern Institute of Technology, Ningbo, Ningbo, China · The State Key Lab of Brain-Machine Intelligence, Zhejiang University, Hangzhou, China. +5

  44. The Sharp Phase Transition of Tyler's M-Estimator for Robust Subspace Recovery

    Jun 4, 2026Gilad Lerman, Teng ZhangSubspaceSignal-To-Noise Ratio

    School of Mathematics, University of Minnesota, Minneapolis, MN 55455 USA · Department of Mathematics, University of Central Florida, Orlando, FL 32816 USA

  45. Democracy on Rugged Landscapes: Phase Transitions in Optimal Voting Rules

    Jun 1, 2026Joshua NunleyMajority VotingDemocracy

    Indiana University, Bloomington, IN, USA

  46. Physics-Informed Modeling and Control of Emergent Behaviors in Robot Swarms

    Jun 1, 2026Zixuan Jin, Wenzhuo Zhang, Shuxian Quan +4SwarmsPhysics-Informed Learning

    School of Computer and Communication Engineering, University of Science and Technology Beijing, 100083, Beijing, China. · Shunde Innovation School, University of Science and Technology Beijing, 528399, Foshan Guangdong, China.

  47. Satisfiability Solving with LLMs: A Matched-Pair Evaluation of Reasoning Capability

    May 27, 2026Leizhen Zhang, Shuhan Chen, Sheng ChenSatisfiabilityLLM Reasoning Strategies

    University of Louisiana at Lafayette, Lafayette, USA · East China Normal University, Shanghai, China

  48. Sampling Data with Chains of Forward-Backward Diffusion Steps

    May 26, 2026Hyunmo Kang, Noam Itzhak Levi, Corinna Elena Wegner +2Diffusion SamplingDiffusion Models

    Johns Hopkins University · EPFL · EPFL & University of Göttingen +1

  49. Emergence via Phase Transitions: Mechanism Landscapes and Universal Convergence Across Complex Systems

    May 25, 2026Truong Xuan KhanhEmergencePhase Transitions

    H&K Research Studio, Clevix LLC, Hanoi, Vietnam

  50. A computational phase transition for learning-to-sample from Ising models

    May 23, 2026Andrej Risteski, Thuy-Duong VuongSpatial Photonic Ising MachinesPhase Transitions

    Machine Learning Department, Carnegie Mellon University. · Department of Computer Science and Engineering, UC San Diego.

  51. MetaDNS: Enhancing Exploration in Discrete Neural Samplers via Well-Tempered Metadynamics

    May 20, 2026Xiaochen Du, Juno Nam, Jaemoo Choi +7Accelerated SamplingMolecular Dynamics

    Massachusetts Institute of Technology · Georgia Institute of Technology

  52. Targeting Clause Type Distributions: a Picklock for Random Satisfiability Problems

    May 19, 2026J. Schwardt, J. C. BudichSatisfiabilityLarge Neighborhood Search

    Max Planck Institute for the Physics of Complex Systems, Nöthnitzer Str. 38, 01187 Dresden, Germany · Institute of Theoretical Physics, Technische Universität Dresden and Würzburg-Dresden Cluster of Excellence ctd.qmat, 01062 Dresden, Germany

  53. Real-time Multi-instrument Autonomous Discovery of Novel Phase-change Memory Materials

    May 18, 2026Chih-Yu Lee, Haotong Liang, Ryan Kim +4Data-Driven Materials DiscoveryReram Crossbar

    Department of Materials Science and Engineering, University of Maryland, College Park, MD, USA · Materials Measurement Science, Division of the National Institute of Standards and Technology, Gaithersburg, MD, USA · Institute of Research in Electronics and Applied Physics, University of Maryland, College Park, Maryland, USA +1

  54. Does Weight Decay Enhance Training Stability?

    May 15, 2026Marius Saether, Amir Kolic, Tomaso Poggio +1Weight DecayPhase Transitions

    NTNU, MIT · MIT

  55. A Random-Matrix Criterion for Initializing Gated Recurrent Neural Networks

    May 11, 2026Tommaso Fioratti, Riccardo Marcaccioli, Francesco CasolaRecurrent Neural NetworksDiscontinuous Gating

    Capital Fund Management, 75007 Paris, France · Institute of Mathematics, EPFL, 1015 Lausanne, Switzerland

  56. Phase Transitions in Affective Meaning Divergence: The Hidden Drift Before the Break

    May 9, 2026Napassorn LitchiowongAffectiveDivergence

    School of Computing, National University of Singapore

  57. Quantum-enhanced Large Language Models on Quantum Hardware via Cayley Unitary Adapters

    May 7, 2026Borja Aizpurua, Sukhbinder Singh, Augustine Kshetrimayum +2Large Language Model QuantizationQuantum Processor

    Multiverse Computing, Parque Científico y Tecnológico de Gipuzkoa, Paseo May 7 de Miramón 170, 20014, Donostia / San Sebastián, Spain · Department of Basic Sciences, Tecnun – University of Navarra, San Sebastián, Spain · Multiverse Computing, Centre for Social Innovation, 192 Spadina Avenue, ON M5T 2C2, Toronto, Canada +2

  58. Concurrence of Symmetry Breaking and Nonlocality Phase Transitions in Diffusion Models

    May 6, 2026Yifan F. Zhang, Fangjun Hu, Guangkuo Liu +2Diffusion ModelsPhase Transitions

    Department of Electrical and Computer Engineering Princeton University Princeton, NJ 08544, USA · QuEra Computing Inc. 1284 Soldiers Field Road, Boston, MA 02135, USA · JILA and Department of Physics University of Colorado Boulder Boulder, CO 80309, USA +1

  59. Phase Transitions in Driven Informational Systems: A Two-Field Perspective on Learning Theory and Non-Equilibrium Chemistry

    May 5, 2026Truong Xuan KhanhPhase TransitionsStatistical Physics

    H&K Research Studio, Clevix LLC Hanoi, Vietnam

  60. Active-learning mapping of the Vicsek model phase diagram

    Apr 30, 2026Grace T. Bai, Brandon B. LePhase TransitionsStatistical Physics

    Department of Computer Science, University of Virginia, Charlottesville, Virginia 22904, USA · Department of Physics, University of Virginia, Charlottesville, Virginia 22904, USA