Insights Into Radiation Damage in YBa$_2$Cu$_3$O$_{7-δ}$ From Machine-Learned Interatomic Potentials
Fuente:
arXiv
Saved in:
| Main Authors: | Dickson, Ashley, Di Eugenio, Niccolò, Ledda, Federico, Torsello, Daniele, Laviano, Francesco, Djurabekova, Flyura, Byggmästar, Jesper, Gilbert, Mark R., Nguyen-Manh, Duc, Gallo, Erik, Trotta, Antonio, Gambino, Davide, Murphy, Samuel T. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Machine-Learned Interatomic Potentials for Structural and Defect Properties of YBa$_2$Cu$_3$O$_{7-δ}$
by: Di Eugenio, Niccolò, et al.
Published: (2025)
by: Di Eugenio, Niccolò, et al.
Published: (2025)
The diffusion-driven orthorhombic to tetragonal transition in YBa$_2$Cu$_3$O$_7$ derived with a machine learning interatomic potential
by: Gambino, Davide, et al.
Published: (2025)
by: Gambino, Davide, et al.
Published: (2025)
Beyond dpa: an atomistic framework for a quantitative description of radiation damage in YBa2Cu3O7
by: Ledda, Federico, et al.
Published: (2025)
by: Ledda, Federico, et al.
Published: (2025)
Threshold displacement energies in refractory high-entropy alloys
by: Byggmästar, Jesper, et al.
Published: (2024)
by: Byggmästar, Jesper, et al.
Published: (2024)
Radiation damage and phase stability of Al$_x$CrCuFeNi$_y$ alloys using a machine-learned interatomic potential
by: Fellman, Aslak, et al.
Published: (2025)
by: Fellman, Aslak, et al.
Published: (2025)
Threshold Displacement Energies of Oxygen in YBa$_2$Cu$_3$O$_7$: A Multi-Physics Analysis
by: Dickson, Ashley, et al.
Published: (2025)
by: Dickson, Ashley, et al.
Published: (2025)
Fast and accurate machine-learned interatomic potentials for large-scale simulations of Cu, Al and Ni
by: Fellman, Aslak, et al.
Published: (2024)
by: Fellman, Aslak, et al.
Published: (2024)
Ultrahigh Stability of O-Sublattice in $β$-Ga$_2$O$_3$
by: He, Ru, et al.
Published: (2024)
by: He, Ru, et al.
Published: (2024)
Machine-learned Interatomic Potential for Ti$_{n+1}$C$_n$ MXenes: Application to Ion Irradiation Simulations
by: Byggmästar, Jesper
Published: (2026)
by: Byggmästar, Jesper
Published: (2026)
Threshold displacement energy map of Frenkel pair generation in $\rm Ga_2O_3$ from machine-learning-driven molecular dynamics simulations
by: He, Huan, et al.
Published: (2024)
by: He, Huan, et al.
Published: (2024)
An Accurate and Efficient Machine-Learned Potential for SiC from Ambient to Extreme Environments
by: Wu, Jintong, et al.
Published: (2025)
by: Wu, Jintong, et al.
Published: (2025)
A Self-Evolving Machine-Learning-Based Kinetic Monte Carlo Method for Modelling Thin-Film Growth
by: Kimari, Jyri, et al.
Published: (2026)
by: Kimari, Jyri, et al.
Published: (2026)
A moralidade da corrupção nas organizações
by: Davide Torsello
Published: (2020)
by: Davide Torsello
Published: (2020)
Fast machine learned $α$-Fe-H interatomic potential for hydrogen embrittlement
by: Makkonen, Eetu, et al.
Published: (2025)
by: Makkonen, Eetu, et al.
Published: (2025)
Generalized Algorithm for Recognition of Complex Point Defects in Large-Scale β-$\rm {Ga_2O_3}$
by: Yan, Mengzhi, et al.
Published: (2024)
by: Yan, Mengzhi, et al.
Published: (2024)
Segregation, ordering, and precipitation in WTaV-based concentrated refractory alloys
by: Byggmästar, Jesper, et al.
Published: (2024)
by: Byggmästar, Jesper, et al.
Published: (2024)
Effects of training machine-learning potentials for radiation damage simulations using different pseudopotentials
by: Fellman, A., et al.
Published: (2025)
by: Fellman, A., et al.
Published: (2025)
Fundamentals of Vacuum Breakdown in High-Field Systems
by: Wuensch, Walter, et al.
Published: (2025)
by: Wuensch, Walter, et al.
Published: (2025)
Simulating vacuum arc initiation by coupling emission, heating and plasma processes
by: Koitermaa, Roni, et al.
Published: (2024)
by: Koitermaa, Roni, et al.
Published: (2024)
Improving YBa$_2$Cu$_3$O$_{7-δ}$ annealing times through a combining-temperatures route
by: Luccas, R. F., et al.
Published: (2026)
by: Luccas, R. F., et al.
Published: (2026)
Nanoscale structure formation in nickel-aluminum alloys synthesized far from equilibrium
by: Chen, Zhehao, et al.
Published: (2025)
by: Chen, Zhehao, et al.
Published: (2025)
Insights on molecular P implantation for scalable spin-qubit arrays
by: Bouvier, Tomás Fernández, et al.
Published: (2024)
by: Bouvier, Tomás Fernández, et al.
Published: (2024)
Influence of the Ortho-II superstructure in the YBa$_2$Cu$_3$O$_{7-δ}$ Orthorhombic phase after annealing
by: Luccas, Roberto F., et al.
Published: (2026)
by: Luccas, Roberto F., et al.
Published: (2026)
Nine-element machine-learned interatomic potentials for multiphase refractory alloys
by: Byggmästar, Jesper, et al.
Published: (2026)
by: Byggmästar, Jesper, et al.
Published: (2026)
Significant surface-mediated reduction of radiation damage in tungsten revealed by advanced ion channeling analysis
by: Jin, Xin, et al.
Published: (2025)
by: Jin, Xin, et al.
Published: (2025)
Hilbert surfaces, modular forms, and Siegel-Veech constants
by: Nguyen, Duc-Manh
Published: (2026)
by: Nguyen, Duc-Manh
Published: (2026)
Intersection theory and Siegel-Veech constants for Prym eigenform loci in $Ω\mathcal{M}_3(2,2)^{\rm odd}$
by: Nguyen, Duc-Manh
Published: (2025)
by: Nguyen, Duc-Manh
Published: (2025)
Presentación
by: Valentina Ledda
Published: (2015)
by: Valentina Ledda
Published: (2015)
Silvia Gorenstein (coord.) (2020) Territorios primarizados en la Argentina. Viejas y nuevas fragilidades económicas
by: Valentina Ledda
Published: (2020)
by: Valentina Ledda
Published: (2020)
Una red neuronal backpropagation aplicada a la microhistología
by: Ledda Larcher
Published: (2004)
by: Ledda Larcher
Published: (2004)
Minimal Damage and Tunable Fabrication of Atomic‐Scale Ultrathin YBa2Cu3O7‐δ Nanowires with High Uniformity
by: Huiqin Ma, et al.
Published: (2025)
by: Huiqin Ma, et al.
Published: (2025)
Spontaneous damage annealing reactions as a possible source of low energy excess in semiconductor detectors
by: Nordlund, Kai, et al.
Published: (2024)
by: Nordlund, Kai, et al.
Published: (2024)
Band Offsets at β/γ-$\mathrm{Ga}_{2}\mathrm{O}_{3}$ Interface
by: Liu, Huan, et al.
Published: (2024)
by: Liu, Huan, et al.
Published: (2024)
Influence of an external static magnetic field on prebreakdown electron emission and heating
by: Koitermaa, Roni, et al.
Published: (2025)
by: Koitermaa, Roni, et al.
Published: (2025)
Large-scale atomistic study of plasticity in amorphous gallium oxide with a machine-learning potential
by: Zhang, Jiahui, et al.
Published: (2024)
by: Zhang, Jiahui, et al.
Published: (2024)
On a phenotype-structured Shigesada--Kawasaki--Teramoto model: Turing instability and pattern selection under fast phenotype switching
by: Cusseddu, Davide, et al.
Published: (2026)
by: Cusseddu, Davide, et al.
Published: (2026)
Compositional theories for host-core languages
by: Trotta, Davide, et al.
Published: (2020)
by: Trotta, Davide, et al.
Published: (2020)
A topos for extended Weihrauch degrees
by: Maschio, Samuele, et al.
Published: (2025)
by: Maschio, Samuele, et al.
Published: (2025)
A Damage-Driven Model for Duchenne Muscular Dystrophy: Early-Stage Dynamics and Invasion Thresholds
by: Gambino, Gaetana, et al.
Published: (2026)
by: Gambino, Gaetana, et al.
Published: (2026)
High Radiation Resistance in the Binary W‐Ta System Through Small V Additions: A New Paradigm for Nuclear Fusion Materials
by: Matheus A. Tunes, et al.
Published: (2025)
by: Matheus A. Tunes, et al.
Published: (2025)
Similar Items
-
Machine-Learned Interatomic Potentials for Structural and Defect Properties of YBa$_2$Cu$_3$O$_{7-δ}$
by: Di Eugenio, Niccolò, et al.
Published: (2025) -
The diffusion-driven orthorhombic to tetragonal transition in YBa$_2$Cu$_3$O$_7$ derived with a machine learning interatomic potential
by: Gambino, Davide, et al.
Published: (2025) -
Beyond dpa: an atomistic framework for a quantitative description of radiation damage in YBa2Cu3O7
by: Ledda, Federico, et al.
Published: (2025) -
Threshold displacement energies in refractory high-entropy alloys
by: Byggmästar, Jesper, et al.
Published: (2024) -
Radiation damage and phase stability of Al$_x$CrCuFeNi$_y$ alloys using a machine-learned interatomic potential
by: Fellman, Aslak, et al.
Published: (2025)