Unraveling the Crystallization Kinetics of the Ge$_2$Sb$_2$Te$_5$ Phase Change Compound with a Machine-Learned Interatomic Potential
Fuente:
arXiv
Saved in:
| Main Authors: | Kheir, Omar Abou El, Bonati, Luigi, Parrinello, Michele, Bernasconi, Marco |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
On the origin of in-gap states in amorphous Ge$_2$Sb$_2$Te$_5$
by: Kheir, Omar Abou El, et al.
Published: (2026)
by: Kheir, Omar Abou El, et al.
Published: (2026)
On phase separation and crystallization of Ge-rich GeSbTe alloys from atomistic simulations with a machine learning interatomic potential
by: Kheir, Omar Abou El, et al.
Published: (2026)
by: Kheir, Omar Abou El, et al.
Published: (2026)
Viscosity, breakdown of Stokes-Einstein relation and dynamical heterogeneity in supercooled liquid Ge$_2$Sb$_2$Te$_5$ from simulations with a neural network potential
by: Marcorini, Simone, et al.
Published: (2025)
by: Marcorini, Simone, et al.
Published: (2025)
Unveiling the crystallization kinetics in Ge-rich Ge$_x$Te alloys by large scale simulations with a machine-learned interatomic potential
by: Baratella, Dario, et al.
Published: (2024)
by: Baratella, Dario, et al.
Published: (2024)
Anisotropic Crystallization Kinetics and Interfacial Dynamics of Phase-Change Material Sb$_2$S$_3$ from Machine Learning Force Field Simulations
by: Chakraborty, Souvik, et al.
Published: (2026)
by: Chakraborty, Souvik, et al.
Published: (2026)
Tunable Electronic Interactions and Weak Antilocalization in Bulk Ge$_2$Sb$_2$Te$_{5-5x}$Se$_{5x}$ Phase Change Materials
by: Mazzucca, Nicholas, et al.
Published: (2025)
by: Mazzucca, Nicholas, et al.
Published: (2025)
Machine Learning Interatomic Potentials with Keras API
by: Rili, James Paolo
Published: (2024)
by: Rili, James Paolo
Published: (2024)
Optimization of Transferable Interatomic Potentials for Glasses toward Experimental Properties
by: Chen, Ruoxia, et al.
Published: (2025)
by: Chen, Ruoxia, et al.
Published: (2025)
High-efficiency computational methodologies for electronic properties and structural characterization of Ge-Sb-Te based phase change materials
by: Xie, Shanzhong, et al.
Published: (2025)
by: Xie, Shanzhong, et al.
Published: (2025)
Validation Workflow for Machine Learning Interatomic Potentials for Complex Ceramics
by: Ghaffari, Kimia, et al.
Published: (2024)
by: Ghaffari, Kimia, et al.
Published: (2024)
Construction of Machine-Learning Interatomic Potential Under Heat Flux Regularization and Its Application to Power Spectrum Analysis for Silver Chalcogenides
by: Shimamura, Kohei, et al.
Published: (2022)
by: Shimamura, Kohei, et al.
Published: (2022)
Performance Assessment of Universal Machine Learning Interatomic Potentials: Challenges and Directions for Materials' Surfaces
by: Focassio, Bruno, et al.
Published: (2024)
by: Focassio, Bruno, et al.
Published: (2024)
Simulation of the crystallization kinetics of Ge$_2$Sb$_2$Te$_5$ nanoconfined in superlattice geometries for phase change memories
by: Acharya, Debdipto, et al.
Published: (2025)
by: Acharya, Debdipto, et al.
Published: (2025)
Developing a Neural Network Machine Learning Interatomic Potential for Molecular Dynamics Simulations of La-Si-P Systems
by: Tang, Ling, et al.
Published: (2025)
by: Tang, Ling, et al.
Published: (2025)
Effects of quenched disorder in three-dimensional lattice ${\mathbb Z}_2$ gauge Higgs models
by: Bonati, Claudio, et al.
Published: (2026)
by: Bonati, Claudio, et al.
Published: (2026)
Unbound States and Mixed Bound--Unbound Phases in Near-Infinitely Deep Potentials
by: Cheng, Shujie, et al.
Published: (2026)
by: Cheng, Shujie, et al.
Published: (2026)
Life at the Boundary of Chemical Kinetics and Program Execution
by: Fischbacher, Thomas
Published: (2025)
by: Fischbacher, Thomas
Published: (2025)
Million‐Atom Simulation of the Set Process in Phase Change Memories at the Real Device Scale
by: Omar Abou El Kheir, et al.
Published: (2025)
by: Omar Abou El Kheir, et al.
Published: (2025)
Mobility Crossover in Two-Dimensional Berry Crystals
by: Chai, Zixuan, et al.
Published: (2024)
by: Chai, Zixuan, et al.
Published: (2024)
Unraveling Multifractality and Mobility Edges in Quasiperiodic Aubry-André-Harper Chains through High-Harmonic Generation
by: Dziurawiec, Marlena, et al.
Published: (2023)
by: Dziurawiec, Marlena, et al.
Published: (2023)
Phases and Phase Transitions of the Disordered Quantum Clock Model
by: Kuttanikkad, Vishnu Pulloor, et al.
Published: (2024)
by: Kuttanikkad, Vishnu Pulloor, et al.
Published: (2024)
Finite-temperature topological transitions in the presence of quenched uncorrelated disorder
by: Bonati, Claudio, et al.
Published: (2026)
by: Bonati, Claudio, et al.
Published: (2026)
Nematic Phase of the n-Component Cubic-Spin Spin Glass in d=3: Liquid-Crystal Phase in a Dirty Magnet
by: Artun, E. Can, et al.
Published: (2023)
by: Artun, E. Can, et al.
Published: (2023)
Discrete Time Crystal in quantum Sherrington-Kirkpatrick model
by: Bothra, Aarya, et al.
Published: (2025)
by: Bothra, Aarya, et al.
Published: (2025)
Phase induced localization transition
by: Liu, Tong, et al.
Published: (2024)
by: Liu, Tong, et al.
Published: (2024)
Structural Analysis of Amorphous GeO$_2$ under High Pressure Using Reverse Monte Carlo Simulations
by: Matsutani, Kenta, et al.
Published: (2024)
by: Matsutani, Kenta, et al.
Published: (2024)
Unlearning regularization for Boltzmann Machines
by: Ventura, Enrico, et al.
Published: (2023)
by: Ventura, Enrico, et al.
Published: (2023)
Dynamical Phase Transitions in Graph Cellular Automata
by: Behrens, Freya, et al.
Published: (2023)
by: Behrens, Freya, et al.
Published: (2023)
BBP Phase Transition for an Extensive Number of Outliers
by: Forner, Niklas, et al.
Published: (2025)
by: Forner, Niklas, et al.
Published: (2025)
Phase diagram of amorphous quantum spin Hall insulators
by: Roy, Ranadeep, et al.
Published: (2025)
by: Roy, Ranadeep, et al.
Published: (2025)
Fermionic Machine Learning
by: Gince, Jérémie, et al.
Published: (2024)
by: Gince, Jérémie, et al.
Published: (2024)
Machine Learning Potential Powered Insights into the Mechanical Stability of Amorphous Li-Si Alloys
by: Wei, Zixiong, et al.
Published: (2024)
by: Wei, Zixiong, et al.
Published: (2024)
Effect of Local Topological Changes on Resistance in Tunably-Disordered Networks
by: Wang, Chenxi, et al.
Published: (2026)
by: Wang, Chenxi, et al.
Published: (2026)
Isolating the hard core of phaseless inference: the Phase selection formulation
by: Straziota, Davide, et al.
Published: (2025)
by: Straziota, Davide, et al.
Published: (2025)
Modeling Chemical Exfoliation of Non-van der Waals Chromium Sulfides by Machine Learning Interatomic Potentials and Monte Carlo Simulations
by: Ibrahim, Akram, et al.
Published: (2023)
by: Ibrahim, Akram, et al.
Published: (2023)
Predicting the Mpemba Effect Using Machine Learning
by: Amorim, Felipe, et al.
Published: (2022)
by: Amorim, Felipe, et al.
Published: (2022)
X-ray photo-induced atomic motion in Phase Change Materials and conventional covalent chalcogenide glasses
by: Festi, Irene, et al.
Published: (2026)
by: Festi, Irene, et al.
Published: (2026)
Rapid Assessment of Stable Crystal Structures in Single Phase High Entropy Alloys Via Graph Neural Network Based Surrogate Modelling
by: Beaver, Nicholas, et al.
Published: (2024)
by: Beaver, Nicholas, et al.
Published: (2024)
The Phase Diagram for Percolating Free Surfaces in Disordered Assemblies of Faceted Grains
by: Priour Jr, D. J.
Published: (2025)
by: Priour Jr, D. J.
Published: (2025)
Phase transitions from linear to nonlinear information processing in neural networks
by: Matsumura, Masaya, et al.
Published: (2025)
by: Matsumura, Masaya, et al.
Published: (2025)
Similar Items
-
On the origin of in-gap states in amorphous Ge$_2$Sb$_2$Te$_5$
by: Kheir, Omar Abou El, et al.
Published: (2026) -
On phase separation and crystallization of Ge-rich GeSbTe alloys from atomistic simulations with a machine learning interatomic potential
by: Kheir, Omar Abou El, et al.
Published: (2026) -
Viscosity, breakdown of Stokes-Einstein relation and dynamical heterogeneity in supercooled liquid Ge$_2$Sb$_2$Te$_5$ from simulations with a neural network potential
by: Marcorini, Simone, et al.
Published: (2025) -
Unveiling the crystallization kinetics in Ge-rich Ge$_x$Te alloys by large scale simulations with a machine-learned interatomic potential
by: Baratella, Dario, et al.
Published: (2024) -
Anisotropic Crystallization Kinetics and Interfacial Dynamics of Phase-Change Material Sb$_2$S$_3$ from Machine Learning Force Field Simulations
by: Chakraborty, Souvik, et al.
Published: (2026)