Výsledky vyhledávání - "Condensed Matter - Disordered Systems and Neural Networks"

Mutual distribution of two partial solutions in 1D localisation: new information on the phase transition

Autoři: Suslov, I. M.

Zdroj: Philosophical Magazine. :1-32

Témata: Condensed Matter - Mesoscale and Nanoscale Physics, Statistical Mechanics (cond-mat.stat-mech), Mesoscale and Nanoscale Physics (cond-mat.mes-hall), FOS: Physical sciences, Disordered Systems and Neural Networks (cond-mat.dis-nn), Condensed Matter - Disordered Systems and Neural Networks, Condensed Matter - Statistical Mechanics, Physics - Optics, Optics (physics.optics)

Přístupová URL adresa: http://arxiv.org/abs/2407.03371

Hopfield Model with Quasi-Diagonal Connection Matrix

Autoři: null Leonid Litinskii

Zdroj: Optical Memory and Neural Networks. 34:334-346

Témata: FOS: Physical sciences, Disordered Systems and Neural Networks (cond-mat.dis-nn), Condensed Matter - Disordered Systems and Neural Networks

Přístupová URL adresa: http://arxiv.org/abs/2502.05985

Machine Learning-Enhanced Calculation of Quantum-Classical Binding Free Energies

Autoři: Moritz Bensberg Marco Eckhoff F. Emil Thomasen a další

Zdroj: Bensberg, M, Eckhoff, M, Thomasen, F E, Bro-Jørgensen, W, Teynor, M S, Sora, V, Weymuth, T, Husistein, R T, Knudsen, F E, Krogh, A, Lindorff-Larsen, K, Reiher, M & Solomon, G C 2025, ' Machine Learning-Enhanced Calculation of Quantum-Classical Binding Free Energies ', Journal of Chemical Theory and Computation, vol. 21, no. 16, pp. 8182-8198 . https://doi.org/10.1021/acs.jctc.5c00388

Témata: Chemical Physics (physics.chem-ph), Biological Physics (physics.bio-ph), Physics - Chemical Physics, FOS: Physical sciences, Physics - Biological Physics, Disordered Systems and Neural Networks (cond-mat.dis-nn), Condensed Matter - Disordered Systems and Neural Networks, Computational Physics (physics.comp-ph), Physics - Computational Physics

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2503.03955
https://curis.ku.dk/ws/files/463565292/Machine_Learning-Enhanced_Calculation.pdf

Anomalous persistent current in a 1D dimerized ring with aperiodic site potential: Non-interacting and interacting cases

Autoři: Souvik Roy Santanu K. Maiti David Laroze

Zdroj: Chinese Journal of Physics. 96:542-558

Témata: Condensed Matter - Strongly Correlated Electrons, Condensed Matter - Mesoscale and Nanoscale Physics, Strongly Correlated Electrons (cond-mat.str-el), Mesoscale and Nanoscale Physics (cond-mat.mes-hall), FOS: Physical sciences, Disordered Systems and Neural Networks (cond-mat.dis-nn), Condensed Matter - Disordered Systems and Neural Networks

Přístupová URL adresa: http://arxiv.org/abs/2505.12939

Development of a Neuromorphic Network Using BioSFQ Circuits

Autoři: Evan B. Golden Vasili K. Semenov Sergey K. Tolpygo

Zdroj: IEEE Transactions on Applied Superconductivity. 35:1-7

Témata: Superconductivity (cond-mat.supr-con), Condensed Matter - Superconductivity, FOS: Physical sciences, Disordered Systems and Neural Networks (cond-mat.dis-nn), Condensed Matter - Disordered Systems and Neural Networks

Přístupová URL adresa: http://arxiv.org/abs/2412.16804

Characterization of Adiabatic Quantum-Flux-Parametrons in the MIT LL SFQ5ee+ Process

Autoři: Sergey K. Tolpygo Evan B. Golden Christopher L. Ayala a další

Zdroj: IEEE Transactions on Applied Superconductivity. 35:1-6

Témata: Superconductivity (cond-mat.supr-con), Condensed Matter - Mesoscale and Nanoscale Physics, Condensed Matter - Superconductivity, Mesoscale and Nanoscale Physics (cond-mat.mes-hall), FOS: Physical sciences, Disordered Systems and Neural Networks (cond-mat.dis-nn), Condensed Matter - Disordered Systems and Neural Networks

Přístupová URL adresa: http://arxiv.org/abs/2411.04045

Monopole Current Control in Artificial Spin Ice via Localized Fields

Autoři: Julia Frank Johan van Lierop Robert L. Stamps

Zdroj: Nano Letters. 25:12799-12805

Témata: Condensed Matter - Mesoscale and Nanoscale Physics, Mesoscale and Nanoscale Physics (cond-mat.mes-hall), FOS: Physical sciences, Disordered Systems and Neural Networks (cond-mat.dis-nn), Condensed Matter - Disordered Systems and Neural Networks

Přístupová URL adresa: http://arxiv.org/abs/2503.20983

Thermal Transport of Amorphous Hafnia Across the Glass Transition

Autoři: Zezhu Zeng Xia Liang Zheyong Fan a další

Zdroj: ACS Materials Letters. 7:2695-2701

Témata: Condensed Matter - Materials Science, Materials Science (cond-mat.mtrl-sci), FOS: Physical sciences, Disordered Systems and Neural Networks (cond-mat.dis-nn), Condensed Matter - Disordered Systems and Neural Networks

Přístupová URL adresa: http://arxiv.org/abs/2502.03114

Weak Poincaré Inequalities, Simulated Annealing, and Sampling from Spherical Spin Glasses

Autoři: Brice Huang Sidhanth Mohanty Amit Rajaraman a další

Zdroj: Proceedings of the 57th Annual ACM Symposium on Theory of Computing. :915-923

Témata: FOS: Computer and information sciences, Computer Science - Data Structures and Algorithms, Probability (math.PR), FOS: Mathematics, FOS: Physical sciences, Data Structures and Algorithms (cs.DS), Disordered Systems and Neural Networks (cond-mat.dis-nn), Mathematical Physics (math-ph), Condensed Matter - Disordered Systems and Neural Networks, Mathematics - Probability, Mathematical Physics

Přístupová URL adresa: http://arxiv.org/abs/2411.09075

Force-Field Optimization by End-to-End Differentiable Atomistic Simulation

Autoři: Abhijeet Sadashiv Gangan Ekin Dogus Cubuk Samuel S. Schoenholz a další

Zdroj: Journal of Chemical Theory and Computation. 21:5867-5879

Témata: Condensed Matter - Materials Science, Materials Science (cond-mat.mtrl-sci), FOS: Physical sciences, Disordered Systems and Neural Networks (cond-mat.dis-nn), Condensed Matter - Disordered Systems and Neural Networks

Přístupová URL adresa: http://arxiv.org/abs/2409.13844

From the perceptron to the cerebellum

Autoři: Brunel, Nicolas Hakim, Vincent Nadal, Jean-Pierre a další

Přispěvatelé: Brunel, Nicolas Hakim, Vincent Nadal, Jean-Pierre a další

Zdroj: Comptes Rendus. Physique. 26:463-477

Témata: Perceptron, [PHYS.PHYS.PHYS-BIO-PH] Physics [physics]/Physics [physics]/Biological Physics [physics.bio-ph], Neurosciences théoriques, FOS: Physical sciences, Cervelet, Theoretical neuroscience, Disordered Systems and Neural Networks (cond-mat.dis-nn), Condensed Matter - Disordered Systems and Neural Networks, [PHYS.COND.CM-DS-NN] Physics [physics]/Condensed Matter [cond-mat]/Disordered Systems and Neural Networks [cond-mat.dis-nn], Biological Physics (physics.bio-ph), Cerebellum, Quantitative Biology - Neurons and Cognition, FOS: Biological sciences, Neurons and Cognition (q-bio.NC), [SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Physics - Biological Physics

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2505.14355
https://hal.science/hal-05100143v1
https://hal.science/hal-05100143v1/document
https://doi.org/10.5802/crphys.251

Harnessing artificial intelligence for modeling amorphous and amorphous porous palladium: A deep neural network approach

Autoři: Isaías Rodríguez

Zdroj: MRS Communications. 15:682-689

Témata: Condensed Matter - Materials Science, Materials Science (cond-mat.mtrl-sci), FOS: Physical sciences, Disordered Systems and Neural Networks (cond-mat.dis-nn), Condensed Matter - Disordered Systems and Neural Networks

Přístupová URL adresa: http://arxiv.org/abs/2502.05201

Yielding and plasticity in amorphous solids

Autoři: Berthier, Ludovic Biroli, Giulio Manning, M. Lisa a další

Přispěvatelé: Berthier, Ludovic Biroli, Giulio Manning, M. Lisa a další

Zdroj: Nature Reviews Physics. 7:313-330

Témata: [PHYS.COND.CM-SM] Physics [physics]/Condensed Matter [cond-mat]/Statistical Mechanics [cond-mat.stat-mech], Statistical Mechanics (cond-mat.stat-mech), Soft Condensed Matter (cond-mat.soft), FOS: Physical sciences, Disordered Systems and Neural Networks (cond-mat.dis-nn), glass transition, fluctuations, statistical mechanics, Condensed Matter - Disordered Systems and Neural Networks, Condensed Matter - Soft Condensed Matter, Condensed Matter - Statistical Mechanics

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2401.09385
https://hal.science/hal-05201209v1/document
https://doi.org/10.1038/s42254-025-00833-5
https://hal.science/hal-05201209v1

Disentangling Morphology and Conductance in Amorphous Graphene

Autoři: Nicolas Gastellu Ata Madanchi Lena Simine

Zdroj: The Journal of Physical Chemistry Letters. 16:4522-4528

Témata: Chemical Physics (physics.chem-ph), Condensed Matter - Mesoscale and Nanoscale Physics, Physics - Chemical Physics, Mesoscale and Nanoscale Physics (cond-mat.mes-hall), FOS: Physical sciences, Disordered Systems and Neural Networks (cond-mat.dis-nn), Condensed Matter - Disordered Systems and Neural Networks

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40298244
http://arxiv.org/abs/2411.18041

Decoding the Competing Effects of Dynamic Solvation Structures on Nuclear Magnetic Resonance Chemical Shifts of Battery Electrolytes via Machine Learning

Autoři: Qi You Yan Sun Feng Wang a další

Zdroj: Journal of the American Chemical Society. 147:14667-14676

Témata: Chemical Physics (physics.chem-ph), Condensed Matter - Materials Science, Physics - Chemical Physics, Materials Science (cond-mat.mtrl-sci), Soft Condensed Matter (cond-mat.soft), FOS: Physical sciences, Disordered Systems and Neural Networks (cond-mat.dis-nn), Condensed Matter - Disordered Systems and Neural Networks, Condensed Matter - Soft Condensed Matter, Computational Physics (physics.comp-ph), Physics - Computational Physics

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40251507
http://arxiv.org/abs/2501.07321

Asymptotic Extinction in Large Coordination Games

Autoři: Chan, Desmond De Keijzer, Bart Galla, Tobias a další

Zdroj: Proceedings of the AAAI Conference on Artificial Intelligence. 39:13683-13690

Témata: FOS: Computer and information sciences, Computer Science - Computer Science and Game Theory, FOS: Physical sciences, Disordered Systems and Neural Networks (cond-mat.dis-nn), Condensed Matter - Disordered Systems and Neural Networks, Computer Science and Game Theory (cs.GT)

Přístupová URL adresa: http://arxiv.org/abs/2412.15461

Enhancing Noise-Robust Losses for Large-Scale Noisy Data Learning

Autoři: Staats, Max Thamm, Matthias Rosenow, Bernd

Zdroj: Proceedings of the AAAI Conference on Artificial Intelligence. 39:7006-7014

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, FOS: Physical sciences, Disordered Systems and Neural Networks (cond-mat.dis-nn), Condensed Matter - Disordered Systems and Neural Networks, Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2306.05497

Yielding behaviour of active particles in bulk and in confinement

Autoři: Yagyik Goswami G. V. Shivashankar Srikanth Sastry

Zdroj: Nat Phys
Nature Physics, 21 (5)
Nature Physics

Témata: Soft Condensed Matter (cond-mat.soft), FOS: Physical sciences, Disordered Systems and Neural Networks (cond-mat.dis-nn), Condensed Matter - Soft Condensed Matter, Condensed Matter - Disordered Systems and Neural Networks, Article

Popis souboru: application/application/pdf

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40386800
http://arxiv.org/abs/2312.01459
http://hdl.handle.net/20.500.11850/730277

Toward a unified benchmark and framework for deep learning-based prediction of nuclear magnetic resonance chemical shifts

Autoři: Fanjie Xu Wentao Guo Feng Wang a další

Zdroj: Nature Computational Science. 5:292-300

Témata: Chemical Physics (physics.chem-ph), Condensed Matter - Materials Science, Physics - Chemical Physics, Materials Science (cond-mat.mtrl-sci), FOS: Physical sciences, Disordered Systems and Neural Networks (cond-mat.dis-nn), Condensed Matter - Disordered Systems and Neural Networks, Computational Physics (physics.comp-ph), Physics - Computational Physics

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40155533
http://arxiv.org/abs/2408.15681

Large Positive Magnetoconductance in Carbon Nanoscrolls

Autoři: Yu-Jie Zhong Jia-Cheng Li Xuan-Fu Huang a další

Zdroj: Nano Lett

Témata: Aharonov−Bohm effect, interfacial magnetic states, longitudinal magnetic field, radial superlattice, Condensed Matter - Materials Science, Quantum Physics, Condensed Matter - Mesoscale and Nanoscale Physics, Mesoscale and Nanoscale Physics (cond-mat.mes-hall), Materials Science (cond-mat.mtrl-sci), FOS: Physical sciences, Disordered Systems and Neural Networks (cond-mat.dis-nn), Condensed Matter - Disordered Systems and Neural Networks, Quantum Physics (quant-ph)

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40155199
http://arxiv.org/abs/2408.03518
https://hdl.handle.net/11386/4908615
https://doi.org/10.1021/acs.nanolett.4c03694