:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteur principal:	Despons, Armand
Format:	Preprint
Publié:	2024
Sujets:	Chemical Physics
Accès en ligne:	https://arxiv.org/abs/2404.03347
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Structural constraints limit the regime of optimal flux in autocatalytic reaction networks
par: Despons, Armand, et autres
Publié: (2023)

Self-replicating fuels via autocatalytic molecular bond fission
par: Agbo, Peter
Publié: (2024)

Voltage-Tunable Nonequilibrium Dispersion Interactions
par: Little, Christine M. E., et autres
Publié: (2026)

Optimal multi-time-scale estimates for diluted autocatalytic chemical networks. (1) Introduction and $σ^*$-dominant case
par: Unterberger, Jeremie
Publié: (2025)

Negative Electronic Friction and Non-Markovianity in Nonequilibrium Quantum Systems
par: Preston, Riley J., et autres
Publié: (2026)

Nonequilibrium relaxation exponentially delays the onset of quantum diffusion
par: Bhattacharyya, Srijan, et autres
Publié: (2024)

Nonequilibrium Dynamics of the Helix-Coil Transition in Polyalanine
par: Conradi, Maximilian, et autres
Publié: (2025)

Influence of Nonequilibrium Vibrational Dynamics on Spin Selectivity in Chiral Molecular Junctions
par: Smorka, Rudolf, et autres
Publié: (2024)

Nonequilibrium statistics of barrier crossings with competing pathways
par: Ahmad, Gulzar, et autres
Publié: (2025)

Nonequilibrium thermodynamic signatures of collective dynamical states around chimera in a chemical reaction network
par: Kumar, Premashis, et autres
Publié: (2023)

Vibrational infrared and Raman spectra of the methanol molecule with equivariant neural-network property surfaces
par: Sunaga, Ayaki, et autres
Publié: (2026)

Stability conditions of chemical networks in a linear framework
par: Despons, Armand, et autres
Publié: (2025)

Universal neural network potentials as descriptors: Towards scalable chemical property prediction using quantum and classical computers
par: Shiota, Tomoya, et autres
Publié: (2024)

Overfitting by design: neural network density functionals for water
par: El-Din, Karim K. Alaa, et autres
Publié: (2026)

Milestoning network refinement by incorporating experimental thermodynamic and kinetic data
par: Ji, Xiaojun, et autres
Publié: (2024)

Kinetic network in Milestoning: Clustering, reduction, and transition path analysis
par: Wang, Ru, et autres
Publié: (2024)

Zero-energy band observation in an interfacial chalcogen-organic network
par: Jin, Yichen, et autres
Publié: (2025)

A novel framework for disinfection analisys in drinking water networks
par: Laucelli, Daniele, et autres
Publié: (2025)

Nonequilibrium thermodynamic characterization of chimeras in a continuum chemical oscillator system
par: Kumar, Premashis, et autres
Publié: (2022)

Investigating the hyperparameter space of deep neural network models for reaction coordinates
par: Kawashima, Kyohei, et autres
Publié: (2024)

Determination of output composition in reaction-advection-diffusion systems on network reactors
par: Feres, Renato, et autres
Publié: (2024)

Permutation invariant multi-scale full quantum neural network wavefunction
par: Cai, Pengzhen, et autres
Publié: (2026)

Convolutional neural network approach to ion Coulomb crystal image analysis
par: Allsopp, James, et autres
Publié: (2025)

A neural network-based four-body potential energy surface for parahydrogen
par: Ibrahim, Alexander, et autres
Publié: (2025)

A particle view of many-body electronic structure with neural network wavefunction
par: Wang, Zichen, et autres
Publié: (2025)

An accurate theoretical framework for the optical and electronic properties of paracyclophanes
par: Slama, Vladislav, et autres
Publié: (2026)

Nonlocal dielectric properties of water: the role of electronic delocalisation
par: Labavić, Darka, et autres
Publié: (2025)

Scalable framework for quantum transport across large physical networks
par: Burgess, Adam, et autres
Publié: (2026)

Quantum correlation functions through tensor network path integral
par: Bose, Amartya
Publié: (2023)

Resist the surface field: the H-bond network decides if water aligns at metal electrodes
par: Jassar, Mohammed Bin, et autres
Publié: (2025)

Robust approximation of tensor networks: application to grid-free tensor factorization of the Coulomb interaction
par: Pierce, Karl, et autres
Publié: (2020)

Spectral convergence of sum-of-Gaussians tensor neural networks for many-electron Schrödinger equation
par: Wu, Teng, et autres
Publié: (2026)

Theory of magnetic properties in QED environments: application to molecular aromaticity
par: Barlini, Alberto, et autres
Publié: (2024)

Microscopic view of materials properties of liquids: An atomic scale perspective
par: Moon, Jaeyun
Publié: (2026)

Improved Optimization for the Neural-network Quantum States and Tests on the Chromium Dimer
par: Li, Xiang, et autres
Publié: (2024)

Eigensolutions and thermodynamic properties of generalized hyperbolic Hulthen and Woods-Saxon potential
par: Assimiou, Y. M., et autres
Publié: (2024)

Fuelprop: Fuel property prediction from ATR-FTIR spectroscopic data
par: Almomtan, Mohammed, et autres
Publié: (2025)

Relativistic unitary coupled cluster method for ground-state molecular properties
par: Majee, Kamal, et autres
Publié: (2025)

Machine Learning Interatomic Potentials: Advancing Open-Source Software for Efficient and Scalable Molecular Simulation
par: Brunken, Christoph, et autres
Publié: (2026)

Symmetry enforced solution of the many-body Schrödinger equation with deep neural network
par: Li, Zhe, et autres
Publié: (2024)