Copertina

Data-Driven Modeling of Dislocation Mobility from Atomistics using Physics-Informed Machine Learning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Tian, Yifeng, Bagchi, Soumendu, Myhill, Liam, Po, Giacomo, Martinez, Enrique, Lin, Yen Ting, Mathew, Nithin, Perez, Danny
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Materials Science
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Active Learning of A Crystal Plasticity Flow Rule From Discrete Dislocation Dynamics Simulations
di: Julian, Nicholas Huebner, et al.
Pubblicazione: (2025)

From anti-Arrhenius to Arrhenius behavior in a dislocation-obstacle bypass: Atomistic Simulations and Theoretical Investigation
di: Nahavandian, Mohammadhossein, et al.
Pubblicazione: (2024)

Anomalous entropy-driven kinetics of dislocation nucleation
di: Bagchi, Soumendu, et al.
Pubblicazione: (2024)

Bayesian Model Calibration with Integrated Discrepancy: Addressing Inexact Dislocation Dynamics Models
di: Myhill, Liam, et al.
Pubblicazione: (2026)

Formation of field-induced breakdown precursors on metallic electrode surfaces
di: Bagchi, Soumendu, et al.
Pubblicazione: (2023)

Shrinkage-Constrained Functional Calibration for Complex Computer Models
di: Myhill, Liam, et al.
Pubblicazione: (2026)

Activation entropy helps explain anomalous flow stress temperature dependence in copper
di: Nahavandian, Mohammadhossein, et al.
Pubblicazione: (2025)

Heating of Cs2Te Photocathode via Field Emission and RF Pulsed Heating: Implication Toward Breakdown
di: Shinohara, Ryo, et al.
Pubblicazione: (2025)

Strain Functionals: A Complete and Symmetry-adapted Set of Descriptors to Characterize Atomistic Configurations
di: Kober, Edward M., et al.
Pubblicazione: (2024)

Liouville Flow Importance Sampler
di: Tian, Yifeng, et al.
Pubblicazione: (2024)

Smartcards in Libraries: A Brave New World.
di: Myhill, Martin
Pubblicazione: (1998)

Canute Rules the Waves?: Hope for E-Library Tools Facing the Challenge of the "Google Generation"
di: Myhill, Martin
Pubblicazione: (2007)

Higher-Order Boundary Conditions for Atomistic Dislocation Simulations
di: Wei, Xinyi, et al.
Pubblicazione: (2025)

Bridging Atomistic and Continuum Descriptions of Nanoscale Dislocation Loops in Tungsten
di: Lopez, Joseph Duque, et al.
Pubblicazione: (2026)

Characterizing Atomistic Transitions Using Cross-scale Graph-pooled Chebyshev Signatures
di: Hnatyshyn, Rostyslav, et al.
Pubblicazione: (2026)

Hop-Decorate: An Automated Atomistic Workflow for Generating Defect Transport Data in Chemically Complex Materials
di: Hatton, Peter, et al.
Pubblicazione: (2025)

Predicting Atomistic Transitions with Transformers
di: Tischler, Henry, et al.
Pubblicazione: (2026)

Influence of Hydrogen on Dislocation Relaxation in BCC Iron: Atomistic Mechanisms and Implications
di: Manda, Sanjay, et al.
Pubblicazione: (2026)

Unbiased Atomistic Predictions of Crystal Dislocation Dynamics using Bayesian Force Fields
di: Owen, Cameron J., et al.
Pubblicazione: (2024)

Uncertainty-Aware Diagnostics for Physics-Informed Machine Learning
di: Daniels, Mara, et al.
Pubblicazione: (2025)

Training the Resourcers - Librarians, Teacher-Training and Telematics in the European Context.
di: Pye, Jo, et al.
Pubblicazione: (1997)

GM3: A General Physical Model for Micro-Mobility Vehicles
di: Cai, Grace, et al.
Pubblicazione: (2025)

Changes in Dislocation Punching Behavior Due to Hydrogen-Seeded Helium Bubble Growth in Tungsten
di: Hatton, Peter, et al.
Pubblicazione: (2024)

Towards "on-demand" van der Waals epitaxy with an adaptive resource-driven online ensemble sampling simulation framework
di: Bagchi, Soumendu, et al.
Pubblicazione: (2025)

Unfolding an Atomistic World: Atomistic Simulation of Reactor Pressure Vessel Steel Across Year-and-Meter Scales
di: Han, Haozhi, et al.
Pubblicazione: (2026)

Triple Junctions as Dislocation-Like Defects: The Role of Grain Boundary Crystallography Revealed by Experiment and Atomistic Simulation
di: Brink, Tobias, et al.
Pubblicazione: (2026)

Electric Field-Induced Phase Transitions and Hysteresis in Ferroelectric HfO2 Captured with Machine Learning Potential
di: Chen, Po-Yen, et al.
Pubblicazione: (2025)

Predicting Grain Boundary Segregation in Magnesium Alloys: An Atomistically Informed Machine Learning Approach
di: Xie, Zhuocheng, et al.
Pubblicazione: (2024)

Efficacy of Topical Beta‐Blockers in Managing Epidermal Growth Factor Receptor Inhibitor‐Related Paronychia and Pyogenic Granuloma‐Like Lesion: A Systematic Review and Meta‐Analysis
di: Po‐Kai Chan, et al.
Pubblicazione: (2026)

Elephant random walks on infinite Cayley trees
di: Mukherjee, Soumendu Sundar
Pubblicazione: (2025)

Consistent model selection in the spiked Wigner model via AIC-type criteria
di: Mukherjee, Soumendu Sundar
Pubblicazione: (2023)

Mori-Zwanzig mode decomposition: Comparison with time-delay embeddings
di: Woodward, Michael, et al.
Pubblicazione: (2023)

Transition from Homogeneous to Domain-Wall-Mediated Polarization Switching in BaTiO3: A Machine-Learning Molecular Dynamics Study
di: Chen, Po-Yen, et al.
Pubblicazione: (2026)

The direct spectral element method for the calculation of synthetic seismograms in self-gravitating, spherically symmetric planets
di: Myhill, Alex D. C., et al.
Pubblicazione: (2026)

Existence, Stability, and Geometric Implications of $\ast$-$η$-Schouten Solitons on Kenmotsu Manifolds
di: Pallei, Tejswani, et al.
Pubblicazione: (2026)

Kenmotsu Contact Geometry Through the Lens of $\ast-\boldsymbolκ$-Ricci-Bourguignon Almost Solitons
di: Kumar, Lavanya, et al.
Pubblicazione: (2026)

Status of Educational Performance of Tribal Students: A Study in Paschim Medinipur District, West Bengal
di: Basu, Abhisek, et al.
Pubblicazione: (2014)

Atomistic Insights Into Edge Dislocations and Grain Boundaries Effects on Mechanical Properties in CrFeMnNi High Entropy Alloy
di: Sanzida Naznin Mim, et al.
Pubblicazione: (2026)

Uncertainty Quantification and Propagation in Atomistic Machine Learning
di: Dai, Jin, et al.
Pubblicazione: (2024)

Optimal Invariant Bases for Atomistic Machine Learning
di: Allen, Alice E. A., et al.
Pubblicazione: (2025)