- Study of ordering in (MoCrTi)100-xAlx refractory high-entropy alloys using machine learning interatomic potential
2026/07/20 by Jiyao Zhang, Klemens Lechner, Markus Maßwohl +2 · 1 voice
#cond-mat.mtrl-sci #cond-mat.dis-nn
- Transport-Weighted Coercivity in Granular CrO2: Why Magnetoresistance and Magnetization Can Disagree
2026/07/18 by E. Yu. Beliayev, I. G. Mirzoiev, V. A. Horielyi +1 · 1 citation
#cond-mat.dis-nn
- Lyapunov spectrum scaling transition for quasiperiodic nonlinear unitaries
2026/07/16 by Xiaodong Zhang, Barbara Dietz, Sergej Flach · 1 voice
#nlin.CD #cond-mat.dis-nn
- A multi-ensemble mean-field reduction method for networks of globally coupled phase oscillators with arbitrary parameter distributions
2026/07/10 by Richard Gast, Shotaro Takasu, Helmut Schmidt +1 · 1 voice
#cond-mat.dis-nn #nlin.CD #q-bio.NC
- Lecture Notes on Statistical Physics and Neural Networks
2026/05/07 by Olaf Hohm · 5 voices
Physics and Astronomy · Computer Science · #cond-mat.dis-nn #cs.LG #hep-th
- Graphs are maximally expressive for higher-order interactions
2026/02/18 by Tiago P. Peixoto, Leto Peel, Thilo Gross +1 · 10 voices
#physics.soc-ph #cond-mat.dis-nn #cond-mat.stat-mech #nlin.AO
- Symmetry in language statistics shapes the geometry of model representations
2026/02/16 by Dhruva Karkada, Daniel J. Korchinski, Andres Nava +2 · 2 voices · 2 citations
#cs.LG #cond-mat.dis-nn #cs.CL
- Not all Chess960 positions are equally complex
2025/12/16 by Marc Barthelemy, Barthelemy, Marc · 7 voices · 1 citation
#physics.soc-ph #cond-mat.dis-nn #cs.HC
- Learning Pseudorandom Numbers with Transformers: Permuted Congruential Generators, Curricula, and Interpretability
2025/10/30 by Tao Tao, Tao, Tao, Maissam Barkeshli +1 · 5 voices
#cs.LG #cond-mat.dis-nn #cs.CR
- Philip Warren Anderson
2025/10/23 by Premala Chandra, Chandra, Premala, Piers Coleman +3 · 7 voices
#physics.hist-ph #cond-mat.dis-nn #cond-mat.str-el #cond-mat.supr-con #hep-th
- Modeling the spatial growth of cities
2025/10/03 by Ulysse Marquis, Marquis, Ulysse, Marc Barthelemy +1 · 3 voices
#physics.soc-ph #cond-mat.dis-nn #cond-mat.stat-mech
- Scaling Laws and Spectra of Shallow Neural Networks in the Feature Learning Regime
2025/09/29 by Leonardo Defilippis, Defilippis, Leonardo, Yizhou Xu +13 · 1 voice · 5 citations
#cs.LG #cond-mat.dis-nn #cs.AI #stat.ML
- The CP2K Program Package Made Simple
2025/08/21 by Marcella Iannuzzi, Jan Wilhelm, Iannuzzi, Marcella +56 · 1 voice · 3 citations
Chemistry · Materials Science · Physics and Astronomy · #Computational Physics (physics.comp-ph) #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci) #Soft Condensed Matter (cond-mat.soft) #Statistical Mechanics (cond-mat.stat-mech) #cond-mat.dis-nn #cond-mat.mtrl-sci #cond-mat.soft #cond-mat.stat-mech #physics.comp-ph
- Looking elsewhere: improving variational Monte Carlo gradients by importance sampling
2025/07/07 by Antoine Misery, Misery, Antoine, Luca Gravina +5 · 1 voice · 5 citations
Computer Science · Materials Science · Physics and Astronomy · #Machine Learning in Materials Science #Quantum Computing Algorithms and Architecture #Quantum many-body systems #cond-mat.dis-nn #cond-mat.stat-mech #cond-mat.str-el #quant-ph
- Two failure modes of deep transformers and how to avoid them: a unified theory of signal propagation at initialisation
2025/05/30 by Alessio Giorlandino, Sebastian Goldt, Giorlandino, Alessio +1 · 1 voice · 3 citations
Computer Science · Mathematics · Physics and Astronomy · #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Mechanics (cond-mat.stat-mech) #cond-mat.dis-nn #cond-mat.stat-mech #cs.LG #stat.ML
- Memorization to Generalization: Emergence of Diffusion Models from Associative Memory
2025/05/27 by Bao Pham, Gabriel Raya, Pham, Bao +9 · 1 voice · 6 citations
#cs.LG #cond-mat.dis-nn #cs.CV #q-bio.NC #stat.ML
- Emergent universal long-range structure in random-organizing systems
2025/05/28 by Satyam Anand, Anand, Satyam, Guanming Zhang +3 · 1 voice · 2 citations
#cond-mat.soft #cond-mat.dis-nn #cond-mat.stat-mech
- On the Emergence of Linear Analogies in Word Embeddings
2025/05/24 by Daniel J. Korchinski, Korchinski, Daniel J., Dhruva Karkada +5 · 1 voice · 1 citation
Computer Science · Physics and Astronomy · #Computation and Language (cs.CL) #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #cond-mat.dis-nn #cs.CL #cs.LG
- Neural Thermodynamics: Entropic Forces in Deep and Universal Representation Learning
2025/05/18 by Liu Ziyin, Yizhou Xu, Ziyin, Liu +3 · 1 voice · 2 citations
#cs.LG #cond-mat.dis-nn #cond-mat.stat-mech #math-ph #q-bio.NC #stat.ML
- Neuronal correlations shape the scaling behavior of memory capacity and nonlinear computational capability of reservoir recurrent neural networks
2025/04/28 by Shotaro Takasu, Toshio Aoyagi, Takasu, Shotaro +1 · 1 voice · 2 citations
#cond-mat.dis-nn #cs.LG #q-bio.NC
- Many-body cages: disorder-free glassiness from flat bands in Fock space, and many-body Rabi oscillations
2025/04/17 by Tom Ben-Ami, Markus Heyl, Ben-Ami, Tom +3 · 1 voice · 5 citations
Physics and Astronomy · #Quantum and electron transport phenomena #Quantum many-body systems #Topological Materials and Phenomena #cond-mat.dis-nn #cond-mat.quant-gas #quant-ph
- Nonequilibrium physics of brain dynamics
2025/04/16 by Ramón Nartallo-Kaluarachchi, Nartallo-Kaluarachchi, Ramón, Morten L. Kringelbach +7 · 2 voices · 6 citations
Biochemistry, Genetics and Molecular Biology · Mathematics · Physics and Astronomy · #Disordered Systems and Neural Networks (cond-mat.dis-nn) #Dynamical Systems (math.DS) #FOS: Biological sciences #FOS: Mathematics #FOS: Physical sciences #Neurons and Cognition (q-bio.NC) #Statistical Mechanics (cond-mat.stat-mech) #cond-mat.dis-nn #cond-mat.stat-mech #math.DS #q-bio.NC
- Reconstructions and Dynamics of β-Lithium Thiophosphate Surfaces
2025/04/15 by Hanna Türk, Davide Tisi, Türk, Hanna +3 · 1 voice · 2 citations
Physics and Astronomy · #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci) #cond-mat.dis-nn #cond-mat.mtrl-sci
- Fractional diffusion without disorder in two dimensions
2025/03/31 by Nilotpal Chakraborty, Markus Heyl, Chakraborty, Nilotpal +3 · 2 voices · 1 citation
Physics and Astronomy · #Black Holes and Theoretical Physics #Quantum many-body systems #Theoretical and Computational Physics #cond-mat.dis-nn #cond-mat.mes-hall #cond-mat.stat-mech
- Convolutional transformer wave functions
2025/03/13 by Ao Chen, Chen, Ao, Vighnesh Dattatraya Naik +3 · 1 voice · 1 citation
#cond-mat.dis-nn #quant-ph
- Synaptic Field Theory for Neural Networks
2025/03/11 by Donghee Lee, Hye-Sung Lee, Lee, Donghee +3 · 6 voices · 2 citations
#hep-th #cond-mat.dis-nn #hep-ph
- Dynamical Decoupling of Generalization and Overfitting in Large Two-Layer Networks
2025/02/28 by Andrea Montanari, Pierfrancesco Urbani, Montanari, Andrea +1 · 1 voice · 5 citations
Computer Science · Mathematics · Physics and Astronomy · #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cond-mat.dis-nn #cs.LG #stat.ML
- Symmetries of Living Systems: Symmetry Fibrations and Synchronization in Biological Networks
2025/02/26 by Hernan A. Makse, Paolo Boldi, Francesco Sorrentino +1 · 4 voices · 4 citations
#q-bio.MN #cond-mat.dis-nn #physics.bio-ph
- Identification of soft modes in amorphous Al2O3 via first-principles
2025/02/20 by Alexander C. Tyner, Joshuah T. Heath, Tyner, Alexander C. +11 · 1 voice · 2 citations
Engineering · Materials Science · Physics and Astronomy · #Acoustic Wave Resonator Technologies #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Physical sciences #Glass properties and applications #Materials Science (cond-mat.mtrl-sci) #Mesoscale and Nanoscale Physics (cond-mat.mes-hall) #Nonlinear Optical Materials Studies #Quantum Physics (quant-ph) #cond-mat.dis-nn #cond-mat.mes-hall #cond-mat.mtrl-sci #quant-ph
- In-context denoising with one-layer transformers: connections between attention and associative memory retrieval
2025/02/07 by Matthew Smart, Smart, Matthew, Alberto Bietti +3 · 1 voice · 1 citation
#cs.LG #cond-mat.dis-nn
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