Image de couverture de livre

Predicting the Mpemba Effect Using Machine Learning

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Amorim, Felipe, Wisely, Joey, Buckley, Nathan, DiNardo, Christiana, Sadasivan, Daniel
Format:	Preprint
Publié:	2022
Sujets:	Disordered Systems and Neural Networks
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Quantum Mpemba effect in quasiperiodic systems
par: Zhou, Ao, et autres
Publié: (2025)

Quantum Pontus-Mpemba Effect Enabled by the Liouvillian Skin Effect
par: Longhi, Stefano
Publié: (2026)

Quantum Pontus--Mpemba Effect in Dissipative Quasiperiodic Chains
par: Song, Yefeng, et autres
Publié: (2026)

Observation and Modulation of the Quantum Mpemba Effect on a Superconducting Quantum Processor
par: Xu, Yueshan, et autres
Publié: (2025)

Quantum Mpemba Effects from Symmetry Perspectives
par: Yu, Hui, et autres
Publié: (2025)

Quantum Pontus-Mpemba Effects in Real and Imaginary-time Dynamics
par: Yu, Hui, et autres
Publié: (2025)

Intrinsic Quantum Mpemba Effect in Markovian Systems and Quantum Circuits
par: Qian, Dongheng, et autres
Publié: (2024)

Universal Spin Models are Universal Approximators in Machine Learning
par: Reinhart, Tobias, et autres
Publié: (2025)

Reexamining Machine Learning Models on Predicting Thermoelectric Properties
par: Ma, Chung T., et autres
Publié: (2025)

Local Density of States as a Probe of Multifractality in Quasiperiodic Moiré Materials
par: Oliveira, Ricardo, et autres
Publié: (2025)

Unified Description of Learning Dynamics in the Soft Committee Machine from Finite to Ultra-Wide Regimes
par: Afanah, Assem, et autres
Publié: (2025)

Machine Learning of Topological Insulator and Anderson Insulator in One-Dimensional Extended Su-Schrieffer-Heeger Chain
par: Yin, Zhekai, et autres
Publié: (2026)

Phonon Echo from Multi-Level Systems and Many-Body Interactions in Low-Temperature Glasses
par: Zhou, Di
Publié: (2026)

Unlearning regularization for Boltzmann Machines
par: Ventura, Enrico, et autres
Publié: (2023)

Interpretable Machine Learning of Nanoparticle Stability through Topological Layer Embeddings
par: Hawthorne, Felipe, et autres
Publié: (2026)

Machine learning of phases and structures for model systems in physics
par: Bayo, Djenabou, et autres
Publié: (2024)

How to Train an Oscillator Ising Machine using Equilibrium Propagation
par: Gower, Alex
Publié: (2025)

Continuous Specialization Transition in the Soft Committee Machine with ReLU Activation
par: Afanah, Assem, et autres
Publié: (2026)

Mpemba Effect in Many-Body Systems Near Equilibrium
par: Ben-Abdallah, Philippe
Publié: (2026)

Symmetry restoration and quantum Mpemba effect in symmetric random circuits
par: Liu, Shuo, et autres
Publié: (2024)

Graph-Based Feature Engineering to Predict the Dynamical Properties of Condensed Matter
par: Wang, An, et autres
Publié: (2024)

Fermionic Machine Learning
par: Gince, Jérémie, et autres
Publié: (2024)

Dynamical fluctuations of random walks in higher-order networks
par: Di Gaetano, Leonardo, et autres
Publié: (2023)

Incommensurability-Induced Enhancement of Superconductivity in One Dimensional Critical Systems
par: Oliveira, Ricardo, et autres
Publié: (2023)

Effect of global shrinkage parameter of horseshoe prior in compressed sensing
par: Nagano, Yasushi, et autres
Publié: (2023)

Effect of Local Topological Changes on Resistance in Tunably-Disordered Networks
par: Wang, Chenxi, et autres
Publié: (2026)

Analysis and Prediction of Dark Current Mechanisms in Si:P Blocked Impurity Band (BIB) Infrared Detectors
par: Cui, Mengyang, et autres
Publié: (2025)

Effect of glass stability on the low frequency vibrations of vapor deposited glasses
par: Festi, I., et autres
Publié: (2026)

Rheological Parameter Identification in Granular Materials Using Physics-Informed Neural Networks
par: Baldoni, Barbara, et autres
Publié: (2025)

Graph Neural Networks for Predicting Solubility in Diverse Solvents using MolMerger incorporating Solute-solvent Interactions
par: Ramani, Vansh, et autres
Publié: (2024)

Multifractal critical phase driven by coupling quasiperiodic systems to electromagnetic cavities
par: Macedo, Thales F., et autres
Publié: (2024)

Effect of Ir growth pressure on the domain wall dynamics in Ta/Pt/Co/Ir/Ta stacks
par: Domenichini, P., et autres
Publié: (2024)

Machine Learning Interatomic Potentials with Keras API
par: Rili, James Paolo
Publié: (2024)

The effect of priors on Learning with Restricted Boltzmann Machines
par: Manzan, Gianluca, et autres
Publié: (2024)

High-Throughput GW Calculations via Machine Learning
par: Abdelghany, Ragab. A., et autres
Publié: (2025)

Effects of Disorder on the Energy Landscape and Motional Mechanisms Involved in Lithium Ion Dynamics and Transport in Solid Electrolytes: Li5.5PS4.5Cl1.5 Argyrodite as a Case Study
par: Badragheh, Mohammad Ali, et autres
Publié: (2025)

Red shift of the superconductivity cavity resonance in Josephson junction qubits as a direct signature of TLS population inversion
par: Burin, Alexander L., et autres
Publié: (2024)

Machine-Learning Recognition of Dzyaloshinskii-Moriya Interaction from Magnetometry
par: Fugetta, Bradley J., et autres
Publié: (2023)

Learning with Restricted Boltzmann Machines: Asymptotics of AMP and GD in High Dimensions
par: Xu, Yizhou, et autres
Publié: (2025)

Disordered Dynamics in High Dimensions: Connections to Random Matrices and Machine Learning
par: Bordelon, Blake, et autres
Publié: (2026)