Two-Dimensional Ising Model

Ask about this field

Recent momentum

emerging

0 papers in the last 28 days · 0.0% of indexed attention

Twelve weeks of publication activity for this topic as it is defined today.

Weekly history

Recent digests

What was published in this field, kept on the site without email delivery.

Period ending 2026-09-21

5 new papers

A weekly snapshot of new work published in Two-Dimensional Ising Model.

Period ending 2026-09-14

4 new papers

A weekly snapshot of new work published in Two-Dimensional Ising Model.

Period ending 2026-09-07

4 new papers

A weekly snapshot of new work published in Two-Dimensional Ising Model.

Inside this field

Focused directions

168 papers

Latest in Two-Dimensional Ising Model

Browse all topics →
CardsList

  1. Discrete Diffusion Models via Evolving Variational Autoregressive Networks

    Sep 23, 2026Kewen Pan, Ying TangTwo-Dimensional Ising Model

  2. Hyperbolic Restricted Boltzmann Machine Neural Quantum State

    Sep 22, 2026H. L. DaoQuantum Neural NetworksMany-Body Physics

  3. Blind Thermodynamic Ontology Discovery from Anonymous Experiments

    Sep 20, 2026Linzhe Zhang, Changming XuThermodynamics

  4. Deep learning emergent spacetime from fermionic spectral functions in holography

    Sep 16, 2026Koji Hashimoto, Hyun-Sik Jeong, Keun-Young Kim +2Holographic Reduced RepresentationsQuantum Topological Phases

  5. Graph neural networks for exoplanet atmospheres

    Sep 15, 2026Antonia Vojtekova, Kai Hou Yip, Ingo P. Waldmann +4Exoplanet AtmospheresAtmospheric Dynamics

  6. Bridging Control, Inference, Transport, and Thermodynamics: From Theory to Applications in Learning

    Sep 14, 2026Emmy Blumenthal, Nikolas Claussen, Benjamin Eysenbach +4Statistical MechanicsFree Energy Principle

  7. Per-Matrix Optimality Is Not Enough: Three-Level Optimization for Low-Rank LLM Compression

    Sep 14, 2026Huicheng Zhang, Xiyao Feng, Ze-Tong Li +6Large Language Model CompressionSingular Value Decomposition

  8. Online local learning for generative thermodynamic computing

    Sep 14, 2026Huilin Wang, Weibing DengThermodynamicsLangevin Dynamics

  9. A Function-Space Approach to the Statistical Mechanics of Learning Dynamics

    Sep 10, 2026Yizhou Zhang, Weichen Wu, Lun Du +1Learning DynamicsStatistical Mechanics

  10. High-Magnetization Sampling at Low Temperatures: Ising Models and Bayesian Sparse Linear Regression

    Sep 8, 2026Syamantak Kumar, Purnamrita Sarkar, Kevin Tian +1Two-Dimensional Ising ModelMarkovian Sampling

  11. Bridging Network Psychometrics and Artificial Intelligence: An Ising-Potts Model with LLM-Derived Weights

    Sep 8, 2026Matthias von DavierMean Opinion ScoresAgreement

  12. Thermodynamic Cyclic Processes with Markov Samplers in Bayesian Inference

    Sep 7, 2026Heinrich von Campe, Bjoern Malte SchaeferMarkov Chain Monte CarloMarkovian Sampling

  13. Microcanonical Hamiltonian Monte Carlo and the Helmholtz Theorem

    Sep 7, 2026Heinrich von Campe, Bjoern Malte SchaeferHamiltonian Monte CarloThermodynamics

  14. Topology Obstructs Pure Foundation Neural Quantum States

    Sep 7, 2026Timothy Heightman, Elena Orlova, Philip Mantrov +1Quantum Topological PhasesHamiltonian

  15. Graph neural networks and the energetic cavity method for combinatorial optimization

    Sep 7, 2026Joe Bacchus George, George T. CantwellGraph Neural NetworksTwo-Dimensional Ising Model

  16. Symmetries and Causality: Causal Effect Identification Beyond IID Data

    Sep 3, 2026Martin Rabel, Jakob RungeCausal ReasoningIdentifiability

  17. Stochastic Optimization of Tree Tensor Networks

    Sep 1, 2026Marius Willner, Maximilian Scharf, André Uschmajew +2Tensor NetworksNeural Network Optimization

  18. A Human-AI Theorem Connecting Spontaneous and Field-Induced Mechanisms of Collective Behavior in One Dimension

    Aug 31, 2026Weiguo YinHuman-Ai CollaborationTwo-Dimensional Ising Model

  19. The thermodynamic freedom of a thermodynamic computer

    Aug 28, 2026Stephen WhitelamThermodynamicsStatistical Mechanics

  20. Physics of Agents: Statistical Mechanics Predicts Collective Behavior of AI Agents

    Aug 17, 2026Batu El, Jinhee Paeng, Fatih Dinc +7Collective BehaviorsArtificial Intelligence Agents

  21. Equivariant learning of a transferable three-dimensional classical density functional

    Aug 13, 2026Bingqing ChengDensity Functional TheoryStatistical Mechanics

  22. Virtual Temperature Sensors in Power Transformers Using Neural Ordinary Differential Equations

    Aug 13, 2026Berk Hadzhamolla, Alexander Johannes Stasik, Signe Riemer-SørensenUnified TransformerNeural Ordinary Differential Equations

  23. Thermodynamics of Learning: A Typed Four-Component Accounting of Memory, Fit, and Value

    Aug 13, 2026Akihito SudoValue FunctionsValue

  24. Hamilton-Zero: A Neural Tensor-Network Foundation Model for Ground States of Arbitrary Quadratic Qubit Hamiltonians

    Aug 12, 2026Timothy Heightman, Elena Orlova, Philip Mantrov +1HamiltonianMany-Body Physics

  25. Carnot: Interpretable, Interactive, and Optimized Execution of Deep Research Queries

    Aug 10, 2026Matthew Russo, Yash Agarwal, Tianyu Li +5Data LakesComplex Query Answering

  26. Interaction Creates Dynamical AI Behavior Absent in Isolation

    Aug 7, 2026Bella Xinrui Li, Frank Yingjie Huo, Neil F JohnsonStatistical Mechanics

  27. Leveraging generative models to assist Monte Carlo sampling

    Aug 7, 2026Marylou GabriéGenerative ModelsStatistical Mechanics

  28. Data Driven Equation Discovery for Phase-Ordering Dynamics : From Allen Cahn to the Ising Model

    Aug 4, 2026Partha Sarathi Mondal, Manav Kumar Jalan, Anish Kumar +1Two-Dimensional Ising Model

  29. Thermalizing Stochastic Programs

    Aug 3, 2026Mirko Amico, Andraž Jelinčič, Colin Oscar Nancarrow +6StochasticThermodynamics

  30. Statistical Mechanics of Learning on Product Wasserstein Manifolds

    Aug 2, 2026Srinivasa Rao P Vangmayi P ReddyWasserstein DistanceDistributional Learning

  31. Temperature-driven inversion and nonlinear dynamics in ChatGPT-like AIs

    Aug 2, 2026Neil F. Johnson, Frank Yingjie Huo, Bella Xinrui LiNonlinear DynamicsDynamical Systems

  32. CN101 - A Digital Thermodynamic Computer for Generative AI

    Aug 1, 2026Lars Holdijk, Denis Melanson, Zier Mensch +14ThermodynamicsGenerative Artificial Intelligence

  33. Kohn-Sham Spectral Embedding on Sparse Graphs at the Nishimori Temperature for Image Classification

    Jul 30, 2026V. S. Usatyuk, D. A. Sapozhnikov, S. I. EgorovFeature LearningImage Classification

  34. Exploring Structures in Physics Problems: Can AI Agents Discover Statistical Mechanical Mappings?

    Jul 29, 2026Wanyu Zhao, Wanbing ZhaoArtificial Intelligence AgentsStatistical Mechanics

  35. Lowering the implementation barrier of neutral-atom quantum computing with agentic workflows

    Jul 28, 2026Constantin Dalyac, Alexandre Dauphin, Loïc Henriet +1Quantum ComputingAgentic Workflows

  36. Many-body Tipping Dynamics of ChatGPT-like AIs

    Jul 28, 2026Frank Yingjie Huo, Neil F. JohnsonArtificial Intelligence GovernanceMany-Body Physics

  37. Stacking the Deck: Tunable Trainability in Stacked LCUs

    Jul 27, 2026Nikhil Khatri, Stefan Zohren, Gabriel MatosVariational Quantum CircuitsQuantum Advantage

  38. Stochastic Counterdiabatic Driving via Biorthogonal Liouvillian Eigenmodes

    Jul 27, 2026Sandeep Suresh Cranganore, Sebastian Lehner, Johannes Brandstetter +1Fokker--Planck EquationStatistical Mechanics

  39. Practical advantage beyond the quadratic speedup limit with fully-quantum walks

    Jul 24, 2026Massimiliano Incudini, Guglielmo MazzolaQuantum AdvantageQuantum Circuit Simulation

  40. Explainable quantum-compressed machine learning for complex fluid flows

    Jul 23, 2026Xiao Xue, Maida Wang, Mingyang Gao +2Quantum Machine LearningFluid Dynamics

  41. A Unified Variational Framework for Deep Weakly Supervised Image Segmentation

    Jul 22, 2026Yin King Chu, Lingfeng Li, Sung Ha Kang +2Robust SegmentationWeak Supervision

  42. Thermodynamics-Informed Input Reparameterization for Neural Prediction of Real-Fluid Thermodynamic Properties in Supercritical Combustion

    Jul 21, 2026Haoze Zhang, Han Li, Ke Xiao +3Combustion ControlThermodynamics

  43. Enhanced Neural Quantum State via Annealed Gradient Descent

    Jul 21, 2026Shiwei Zhou, Yiming Huang, Xiao Yuan +1Quantum Neural NetworksMany-Body Physics

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

    Jul 19, 2026Zhihua LiangTransformer ArchitecturesRotary Position Embedding

  45. A Blueprint for Equilibrium-Based Differentiable Continuous-Variable Thermodynamic Computing

    Jul 17, 2026Owen Lockwood, Jérémy Béjanin, Joost Bus +4ThermodynamicsIn-Memory Computing

  46. Moment-Resolved Readout and Reservoir Diversity in Nonequilibrium Langevin Computing

    Jul 16, 2026JiZheng Duan, MingYang Zhao, YanWei Chen +1Reservoir ComputingReadout

  47. DeepCormack: Fermi surface tomography using model-based data-driven algorithms

    Jul 14, 2026Georg F. B. Lovric, Bryn Drury, Carola-Bibiane Schönlieb +2TomographyHigh-Fidelity Surface Reconstruction

  48. Learning Topological Quantum Phases from Limited Subsystems

    Jul 12, 2026Mehran Khosrojerdi, Sougato Bose, Alessandro Cuccoli +3Quantum Topological PhasesQuantum Kernels

  49. Interpreting learning dynamics of autoencoders: Transient scaling and emerging concepts of the Ising model

    Jul 11, 2026Max Weinmann, Miriam KlopotekLearning DynamicsTwo-Dimensional Ising Model

  50. Multi-agent Autoformalization of Tensor Network Theory

    Jul 8, 2026Sirui Lu, Erickson Tjoa, J. Ignacio CiracAutoformalizationTensor Networks

  51. Provable learning separation for predicting time-evolution of quantum many-body systems

    Jul 7, 2026Rahul Bandyopadhyay, Riccardo Molteni, Jens Eisert +2Quantum Machine LearningMany-Body Physics

  52. Out-of-distribution Neural Inference in Dynamical Ising Models

    Jul 3, 2026Yuan-Bin Zhu, Shuang Qiao, Shi-Ju RanTwo-Dimensional Ising ModelLearning Dynamics

  53. Transfer Learning in High-dimensional Ising Models

    Jul 3, 2026Joonho Kim, Seyoung ParkTransfer LearningTwo-Dimensional Ising Model

  54. Q-GAIN: A Python Package for Machine Learning and Physically Informed Analysis Applications

    Jul 2, 2026M. Doris, S. Guo, S. M. Koh +5Quantum Machine LearningMany-Body Physics

  55. One More Time: Revisiting Neural Quantum States from a Reinforcement Learning Perspective

    Jul 2, 2026Juan Agustín Duque, Sergio García Heredia, Vinicius Hernandes +4Quantum Neural NetworksMany-Body Physics

  56. Mechanistic Interpretability and Causal Feature Steering of Neural Quantum States via Sparse Autoencoders

    Jul 1, 2026Zihao Qi, Christopher EarlsQuantum Neural NetworksMany-Body Physics

  57. Holographic Quantum Transformer: A Generalist Neuro-Symbolic Architecture for Solving Frustrated Systems via Generative Attention

    Jul 1, 2026Xingran Guo, Tiaojie Xiao, Jie Liu +1Two-Dimensional Ising ModelHolographic Reduced Representations

  58. Scaling Up Thermodynamic AI Models

    Jun 30, 2026Andrew G. MooreArtificial Intelligence ModelsTwo-Dimensional Ising Model

  59. Explaining Machine Learning and Memorization with Statistical Mechanics

    Jun 30, 2026Robin TheriaultDense Associative MemoryMachine Learning

  60. Diffusion-warm sampling of the XY model enables fast thermalization at scale

    Jun 29, 2026Sehmimul Hoque, Roger Melko, Pooya RonaghTwo-Dimensional Ising ModelMarkov Chain Monte Carlo