Physics-informed operator learning for transferable energy-dissipative microstructure dynamics
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Xiong, Jie, Wu, Yue, Zhou, Xuewei, Zhao, Peishuo, Zhu, Jiaming |
|---|---|
| Format: | Preprint |
| Publié: |
2026
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Machine learning intermolecular transfer integrals with compact atomic cluster representations
par: Keeratikarn, Keerati, et autres
Publié: (2025)
par: Keeratikarn, Keerati, et autres
Publié: (2025)
KAN-Enhanced Contrastive Learning Accelerating Crystal Structure Identification from XRD Patterns
par: Xu, Chenlei, et autres
Publié: (2025)
par: Xu, Chenlei, et autres
Publié: (2025)
Structural properties of amorphous Na$_3$OCl electrolyte by first-principles and machine learning molecular dynamics
par: Pham, T. -L., et autres
Publié: (2024)
par: Pham, T. -L., et autres
Publié: (2024)
Picosecond transfer from short-term to long-term memory in analog antiferromagnetic memory device
par: Surynek, M., et autres
Publié: (2024)
par: Surynek, M., et autres
Publié: (2024)
Comparison of intermediate-range order in GeO$_2$ glass: molecular dynamics using machine-learning interatomic potential vs.\ reverse Monte Carlo fitting to experimental data
par: Matsutani, Kenta, et autres
Publié: (2024)
par: Matsutani, Kenta, et autres
Publié: (2024)
Influence of the Anderson transition on thermoelectric energy conversion in disordered electronic systems
par: Khomchenko, I., et autres
Publié: (2023)
par: Khomchenko, I., et autres
Publié: (2023)
Machine learning the local electronic density of states
par: Aryanpour, A., et autres
Publié: (2025)
par: Aryanpour, A., et autres
Publié: (2025)
Physics-Informed Glass-Structure Descriptors for Assessing the Intrinsic Reactivity of Mixed Amorphous-Crystalline Precursors in Alkali-Activated Materials
par: Pan, Zhu, et autres
Publié: (2026)
par: Pan, Zhu, et autres
Publié: (2026)
Patterns of load, elastic energy and damage in network models of architected composite materials
par: Greff, Christian, et autres
Publié: (2026)
par: Greff, Christian, et autres
Publié: (2026)
RAFFLE: Active learning accelerated interface structure prediction
par: Taylor, Ned Thaddeus, et autres
Publié: (2025)
par: Taylor, Ned Thaddeus, et autres
Publié: (2025)
Efficiently charting the space of mixed vacancy-ordered perovskites by machine-learning encoded atomic-site information
par: Zhang, Fan, et autres
Publié: (2025)
par: Zhang, Fan, et autres
Publié: (2025)
Frontier orbitals control dynamical disorder in molecular semiconductors
par: Neef, Alexander, et autres
Publié: (2024)
par: Neef, Alexander, et autres
Publié: (2024)
Thermal transport of glasses via machine learning driven simulations
par: Pegolo, Paolo, et autres
Publié: (2024)
par: Pegolo, Paolo, et autres
Publié: (2024)
Hydrogen liquid-liquid transition from first principles and machine learning
par: Tenti, Giacomo, et autres
Publié: (2025)
par: Tenti, Giacomo, et autres
Publié: (2025)
Machine learning potential as a guide for eutectic in ultra-refractory multicomponent ceramics
par: Valiulin, V. E., et autres
Publié: (2026)
par: Valiulin, V. E., et autres
Publié: (2026)
Constructing and evaluating machine-learned interatomic potentials for Li-based disordered rocksalts
par: Choyal, Vijay, et autres
Publié: (2023)
par: Choyal, Vijay, et autres
Publié: (2023)
Efficient training of machine learning potentials for metallic glasses: CuZrAl validation
par: Wadowski, Antoni, et autres
Publié: (2024)
par: Wadowski, Antoni, et autres
Publié: (2024)
The impact of physicochemical features of carbon electrodes on the capacitive performance of supercapacitors: A machine learning approach
par: Mishra, Sachit, et autres
Publié: (2022)
par: Mishra, Sachit, et autres
Publié: (2022)
Machine learning for characterizing uncertain elastic properties of fused filament fabricated materials for topology optimization applications
par: Kazemi, Zahra, et autres
Publié: (2024)
par: Kazemi, Zahra, et autres
Publié: (2024)
Expanding the search space of high entropy oxides and predicting synthesizability using machine learning interatomic potentials
par: Dicks, Oliver A., et autres
Publié: (2025)
par: Dicks, Oliver A., et autres
Publié: (2025)
Carrier localization and dynamics in In$_{0.10}$Ga$_{0.90}$N: the impact of alloying and Si doping
par: Mpatani, Ongeziwe, et autres
Publié: (2025)
par: Mpatani, Ongeziwe, et autres
Publié: (2025)
Unveiling the early stage evolution of local atomic structures in the crystallization process of a metallic glass
par: Ma, Lin, et autres
Publié: (2024)
par: Ma, Lin, et autres
Publié: (2024)
Iron phosphate glass structure at different length scale with emphasis on the medium range: a classical molecular dynamic study
par: Singh, Shakti, et autres
Publié: (2024)
par: Singh, Shakti, et autres
Publié: (2024)
Prediction of Half Metallicity along the Edge of Boron Nitride Zigzag Nanoribbons
par: Zheng, Fawei, et autres
Publié: (2008)
par: Zheng, Fawei, et autres
Publié: (2008)
Unveiling the crystallization kinetics in Ge-rich Ge$_x$Te alloys by large scale simulations with a machine-learned interatomic potential
par: Baratella, Dario, et autres
Publié: (2024)
par: Baratella, Dario, et autres
Publié: (2024)
On phase separation and crystallization of Ge-rich GeSbTe alloys from atomistic simulations with a machine learning interatomic potential
par: Kheir, Omar Abou El, et autres
Publié: (2026)
par: Kheir, Omar Abou El, et autres
Publié: (2026)
Non-equilibrium dynamics in geometrically frustrated spin glass Bi$_2$Fe$_3$GaO$_9$ with a Cairo lattice
par: Mihaylova, Desislava, et autres
Publié: (2024)
par: Mihaylova, Desislava, et autres
Publié: (2024)
Thermal transport of amorphous hafnia across the glass transition
par: Zeng, Zezhu, et autres
Publié: (2025)
par: Zeng, Zezhu, et autres
Publié: (2025)
Atomic scale structure and dynamical properties of (TeO$_2$)$_{1-x}$-(Na$_2$O)$_{x}$ glasses through first-principles modeling and XRD measurements
par: Shuaib, Firas, et autres
Publié: (2025)
par: Shuaib, Firas, et autres
Publié: (2025)
High Strength Refractory AlHfNbTiV B2 High Entropy Alloys with High Fracture Strains
par: Qi, Jie, et autres
Publié: (2023)
par: Qi, Jie, et autres
Publié: (2023)
Diagrammatic quantum Monte Carlo toward the calculation of transport properties in disordered semiconductors
par: Wang, Yu-Chen, et autres
Publié: (2022)
par: Wang, Yu-Chen, et autres
Publié: (2022)
Dislocations in the elastic fields of randomly distributed defects
par: Wu, Ronghai, et autres
Publié: (2025)
par: Wu, Ronghai, et autres
Publié: (2025)
Experimentally validated and empirically compared machine learning approach for predicting yield strength of additively manufactured multi-principal element alloys from Co-Cr-Fe-Mn-Ni system
par: Chandraker, Abhinav, et autres
Publié: (2023)
par: Chandraker, Abhinav, et autres
Publié: (2023)
Machine-Learning Recognition of Dzyaloshinskii-Moriya Interaction from Magnetometry
par: Fugetta, Bradley J., et autres
Publié: (2023)
par: Fugetta, Bradley J., et autres
Publié: (2023)
Computational Study of Density Fluctuation-Induced Shear Bands Formation in Bulk Metallic Glasses
par: Zhu, Siya, et autres
Publié: (2025)
par: Zhu, Siya, et autres
Publié: (2025)
Discovering new photovoltaics using optimal transport theory
par: Walker, Matthew A. H., et autres
Publié: (2026)
par: Walker, Matthew A. H., et autres
Publié: (2026)
Tunable Electronic Interactions and Weak Antilocalization in Bulk Ge$_2$Sb$_2$Te$_{5-5x}$Se$_{5x}$ Phase Change Materials
par: Mazzucca, Nicholas, et autres
Publié: (2025)
par: Mazzucca, Nicholas, et autres
Publié: (2025)
X-ray photo-induced atomic motion in Phase Change Materials and conventional covalent chalcogenide glasses
par: Festi, Irene, et autres
Publié: (2026)
par: Festi, Irene, et autres
Publié: (2026)
Dis-GEN: Disordered crystal structure generation
par: Petersen, Martin Hoffmann, et autres
Publié: (2025)
par: Petersen, Martin Hoffmann, et autres
Publié: (2025)
Multi-value Probabilistic Computing with current-controlled Skyrmion Diffusion
par: Winkler, Thomas B., et autres
Publié: (2025)
par: Winkler, Thomas B., et autres
Publié: (2025)
Documents similaires
-
Machine learning intermolecular transfer integrals with compact atomic cluster representations
par: Keeratikarn, Keerati, et autres
Publié: (2025) -
KAN-Enhanced Contrastive Learning Accelerating Crystal Structure Identification from XRD Patterns
par: Xu, Chenlei, et autres
Publié: (2025) -
Structural properties of amorphous Na$_3$OCl electrolyte by first-principles and machine learning molecular dynamics
par: Pham, T. -L., et autres
Publié: (2024) -
Picosecond transfer from short-term to long-term memory in analog antiferromagnetic memory device
par: Surynek, M., et autres
Publié: (2024) -
Comparison of intermediate-range order in GeO$_2$ glass: molecular dynamics using machine-learning interatomic potential vs.\ reverse Monte Carlo fitting to experimental data
par: Matsutani, Kenta, et autres
Publié: (2024)