Scaling Kinetic Monte-Carlo Simulations of Grain Growth with Combined Convolutional and Graph Neural Networks
Fuente:
arXiv
Guardado en:
| Autores principales: | Tian, Zhihui, Suwandi, Ethan, Oppelstrup, Tomas, Bulatov, Vasily V., Harley, Joel B., Zhou, Fei |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Score dynamics: scaling molecular dynamics with picoseconds timestep via conditional diffusion model
por: Hsu, Tim, et al.
Publicado: (2023)
por: Hsu, Tim, et al.
Publicado: (2023)
Sequential Monte Carlo Graph Convolutional Network for Dynamic Brain Connectivity
por: Zhao, Fengfan, et al.
Publicado: (2023)
por: Zhao, Fengfan, et al.
Publicado: (2023)
Atomistic insights into solid solution strengthening: size misfit versus stiffness misfit
por: Liang, Aoyan, et al.
Publicado: (2025)
por: Liang, Aoyan, et al.
Publicado: (2025)
A Metric on the Polycrystalline Microstructure State Space
por: Miley, Dylan, et al.
Publicado: (2024)
por: Miley, Dylan, et al.
Publicado: (2024)
Kinetic Monte Carlo Simulation of the Nitridation of the GaAs (100) Surfaces
por: A. P. Castro
Publicado: (2006)
por: A. P. Castro
Publicado: (2006)
Compressed Sensing Methods for Memory Reduction in Monte Carlo Simulations
por: Lame, Ethan, et al.
Publicado: (2026)
por: Lame, Ethan, et al.
Publicado: (2026)
Graph Convolutional Neural Networks as Surrogate Models for Climate Simulation
por: Potter, Kevin, et al.
Publicado: (2024)
por: Potter, Kevin, et al.
Publicado: (2024)
Review of blockchain application with Graph Neural Networks, Graph Convolutional Networks and Convolutional Neural Networks
por: Ancelotti, Amy, et al.
Publicado: (2024)
por: Ancelotti, Amy, et al.
Publicado: (2024)
Enhanced mobility of dislocation network nodes and its effect on dislocation multiplication and strain hardening
por: Bertin, Nicolas, et al.
Publicado: (2022)
por: Bertin, Nicolas, et al.
Publicado: (2022)
Uncertainty Aware Deep Neural Network for Multistatic Localization with Application to Ultrasonic Structural Health Monitoring
por: Khurjekar, Ishan D., et al.
Publicado: (2020)
por: Khurjekar, Ishan D., et al.
Publicado: (2020)
Protein-Protein Docking with Large-Scale Backbone Flexibility Using Coarse-Grained Monte-Carlo Simulations
por: Kmiecik, Sebastian
Publicado: (2021)
por: Kmiecik, Sebastian
Publicado: (2021)
Cross-scale covariance for material property prediction
por: Jasperson, Benjamin A., et al.
Publicado: (2024)
por: Jasperson, Benjamin A., et al.
Publicado: (2024)
SMC-AI: Scaling Monte Carlo Simulation to Four Trillion Atoms with AI Accelerators
por: Liu, Xianglin, et al.
Publicado: (2026)
por: Liu, Xianglin, et al.
Publicado: (2026)
Solving Lane-Emden-Type Eigenvalue Problems with Physics-Informed Neural Networks
por: Joel, Luke Oluwaseye, et al.
Publicado: (2025)
por: Joel, Luke Oluwaseye, et al.
Publicado: (2025)
Composable and adaptive design of machine learning interatomic potentials guided by Fisher-information analysis
por: Wang, Weishi, et al.
Publicado: (2025)
por: Wang, Weishi, et al.
Publicado: (2025)
Topology Estimation of Simulated 4D Image Data by Combining Downscaling and Convolutional Neural Networks
por: Hannouch, Khalil Mathieu, et al.
Publicado: (2023)
por: Hannouch, Khalil Mathieu, et al.
Publicado: (2023)
P‐213: Multiscale Simulation and Optimization of OLED Devices with Quantum Chemistry and Kinetic Monte Carlo Simulations
por: Theodorus P.M. Goumans, et al.
Publicado: (2025)
por: Theodorus P.M. Goumans, et al.
Publicado: (2025)
Hamiltonian Monte Carlo on ReLU Neural Networks is Inefficient
por: Dinh, Vu C., et al.
Publicado: (2024)
por: Dinh, Vu C., et al.
Publicado: (2024)
Deep Learning-Accelerated Dynamic Kinetic Monte Carlo Simulation for Hydrogen Transport in Tungsten
por: Saito, Seiki, et al.
Publicado: (2026)
por: Saito, Seiki, et al.
Publicado: (2026)
Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks
por: Oskarsson, Joel, et al.
Publicado: (2024)
por: Oskarsson, Joel, et al.
Publicado: (2024)
Variational Graph Convolutional Neural Networks
por: Oleksiienko, Illia, et al.
Publicado: (2025)
por: Oleksiienko, Illia, et al.
Publicado: (2025)
Combining Reinforcement Learning with Graph Convolutional Neural Networks for Efficient Design of TiAl/TiAlN Atomic-Scale Interfaces
por: Jiang, Xinyu, et al.
Publicado: (2024)
por: Jiang, Xinyu, et al.
Publicado: (2024)
A Navier-Stokes asymptotic preserving Direct Simulation Monte Carlo method for multi-species gas flows
por: Fei, Fei
Publicado: (2024)
por: Fei, Fei
Publicado: (2024)
Kinetic Interacting Particle Langevin Monte Carlo
por: Oliva, Paul Felix Valsecchi, et al.
Publicado: (2024)
por: Oliva, Paul Felix Valsecchi, et al.
Publicado: (2024)
Kinetic Theories for Metropolis Monte Carlo Methods
por: Herty, Michael, et al.
Publicado: (2024)
por: Herty, Michael, et al.
Publicado: (2024)
Dynamic Dual-Graph Fusion Convolutional Network For Alzheimer's Disease Diagnosis
por: Li, Fanshi, et al.
Publicado: (2023)
por: Li, Fanshi, et al.
Publicado: (2023)
Earth Observation Satellite Scheduling with Graph Neural Networks and Monte Carlo Tree Search
por: Jacquet, Antoine, et al.
Publicado: (2024)
por: Jacquet, Antoine, et al.
Publicado: (2024)
SMCEvolve: Principled Scientific Discovery via Sequential Monte Carlo Evolution
por: Jiang, Jiachen, et al.
Publicado: (2026)
por: Jiang, Jiachen, et al.
Publicado: (2026)
Understanding Substrate Effects on Two-Dimensional MoS2 Growth: a Kinetic Monte Carlo Approach
por: Aldana, Samuel, et al.
Publicado: (2024)
por: Aldana, Samuel, et al.
Publicado: (2024)
Understanding Substrate Effects on 2D MoS2 Growth: A Kinetic Monte Carlo Approach
por: Samuel Aldana, et al.
Publicado: (2024)
por: Samuel Aldana, et al.
Publicado: (2024)
Learning Kinetic Monte Carlo stochastic dynamics with Deep Generative Adversarial Networks
por: Lanzoni, Daniele, et al.
Publicado: (2025)
por: Lanzoni, Daniele, et al.
Publicado: (2025)
Graph Neural Network‐Based Interatomic Potential Calculations Combined With Grand Canonical Monte Carlo Simulation to Predict the Electrochemical Potential Profile: A Model Study Using Spinel‐Type Titanates
por: Kohei Tada, et al.
Publicado: (2026)
por: Kohei Tada, et al.
Publicado: (2026)
Accelerated Markov Chain Monte Carlo Simulation via Neural Network-Driven Importance Sampling
por: Kim, Michael, et al.
Publicado: (2026)
por: Kim, Michael, et al.
Publicado: (2026)
Combining Convolution and Delay Learning in Recurrent Spiking Neural Networks
por: Zebendo, Lúcio Folly Sanches, et al.
Publicado: (2026)
por: Zebendo, Lúcio Folly Sanches, et al.
Publicado: (2026)
Graph Neural Networks vs Convolutional Neural Networks for Graph Domination Number Prediction
por: Davila, Randy, et al.
Publicado: (2025)
por: Davila, Randy, et al.
Publicado: (2025)
Comparative Evaluation of VaR Models: Historical Simulation, GARCH-Based Monte Carlo, and Filtered Historical Simulation
por: Tian, Xin
Publicado: (2025)
por: Tian, Xin
Publicado: (2025)
Transfer Entropy in Graph Convolutional Neural Networks
por: Moldovan, Adrian, et al.
Publicado: (2024)
por: Moldovan, Adrian, et al.
Publicado: (2024)
Local structure of idempotent algebras II
por: Bulatov, Andrei A.
Publicado: (2020)
por: Bulatov, Andrei A.
Publicado: (2020)
Local structure of idempotent algebras I
por: Bulatov, Andrei A.
Publicado: (2020)
por: Bulatov, Andrei A.
Publicado: (2020)
Separation of congruence intervals and implications
por: Bulatov, Andrei A.
Publicado: (2020)
por: Bulatov, Andrei A.
Publicado: (2020)
Ejemplares similares
-
Score dynamics: scaling molecular dynamics with picoseconds timestep via conditional diffusion model
por: Hsu, Tim, et al.
Publicado: (2023) -
Sequential Monte Carlo Graph Convolutional Network for Dynamic Brain Connectivity
por: Zhao, Fengfan, et al.
Publicado: (2023) -
Atomistic insights into solid solution strengthening: size misfit versus stiffness misfit
por: Liang, Aoyan, et al.
Publicado: (2025) -
A Metric on the Polycrystalline Microstructure State Space
por: Miley, Dylan, et al.
Publicado: (2024) -
Kinetic Monte Carlo Simulation of the Nitridation of the GaAs (100) Surfaces
por: A. P. Castro
Publicado: (2006)