Interatomic potentials for platinum
Fuente:
arXiv
Saved in:
| Main Authors: | Koju, R. K., Li, Y., Mishin, Y. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
First-principles prediction of point defect energies and concentrations in the tantalum and hafnium carbides
by: Khatri, I., et al.
Published: (2024)
by: Khatri, I., et al.
Published: (2024)
Atomistic modeling of diffusion processes at Al(Si)/Si(111) interphase boundaries obtained by vapor deposition
by: Li, Yang, et al.
Published: (2024)
by: Li, Yang, et al.
Published: (2024)
The origin of strings and rings in the atomic dynamics of disordered systems
by: Hussein, Omar, et al.
Published: (2024)
by: Hussein, Omar, et al.
Published: (2024)
On a relationship between grain boundary free energy, grain boundary segregation, and grain boundary diffusion
by: Mishin, Yuri
Published: (2026)
by: Mishin, Yuri
Published: (2026)
The effect of normal stress on stacking fault energy in face-centered cubic metals
by: Li, Yang, et al.
Published: (2026)
by: Li, Yang, et al.
Published: (2026)
Line and Planar Defects with Zero Formation Free Energy: Applications of the Phase Rule toward Ripening-Immune Microstructures
by: Li, Ju, et al.
Published: (2025)
by: Li, Ju, et al.
Published: (2025)
Self-pinning mechanism for grain boundary stabilization
by: Hussein, Omar, et al.
Published: (2026)
by: Hussein, Omar, et al.
Published: (2026)
A model of thermodynamic stabilization of nanocrystalline grain boundaries in alloy systems
by: Hussein, Omar, et al.
Published: (2024)
by: Hussein, Omar, et al.
Published: (2024)
A model of full thermodynamic stabilization of nanocrystalline alloys
by: Hussein, Omar, et al.
Published: (2025)
by: Hussein, Omar, et al.
Published: (2025)
Atomistic modeling of the structure and diffusion processes at Al(110)/Si(001) interphase boundaries obtained by vapor deposition
by: Li, Yang, et al.
Published: (2024)
by: Li, Yang, et al.
Published: (2024)
Substitutional platinum as an efficient nonradiative recombination center in silicon
by: Dai, Zhenxing, et al.
Published: (2026)
by: Dai, Zhenxing, et al.
Published: (2026)
Uncertainty Quantification in Atomistic Simulations of Silicon using Interatomic Potentials
by: Best, I. R., et al.
Published: (2024)
by: Best, I. R., et al.
Published: (2024)
Evaluating Compression and Nanoindentation in FCC Nickel: A Methodology for Interatomic Potential Selection
by: Cichocki, K., et al.
Published: (2025)
by: Cichocki, K., et al.
Published: (2025)
A "Magnetic" Machine Learning Interatomic Potential for Nickel
by: Gong, Xiaoguo, et al.
Published: (2023)
by: Gong, Xiaoguo, et al.
Published: (2023)
Intercalated structures formed by platinum on epitaxial graphene on SiC(0001)
by: Ferbel, Letizia, et al.
Published: (2025)
by: Ferbel, Letizia, et al.
Published: (2025)
Interatomic potential development for topological insulator Bi1-xSbx and its dislocation by force-following active learning
by: Choi, Moon-ki, et al.
Published: (2025)
by: Choi, Moon-ki, et al.
Published: (2025)
Physically Interpretable Interatomic Potentials via Symbolic Regression and Reinforcement Learning
by: Varughese, Bilvin, et al.
Published: (2025)
by: Varughese, Bilvin, et al.
Published: (2025)
A phase field model with arbitrary misorientation dependence of grain boundary energy
by: Staublin, Philip, et al.
Published: (2026)
by: Staublin, Philip, et al.
Published: (2026)
Discovering High-Entropy Oxides with a Machine-Learning Interatomic Potential
by: Sivak, Jacob T., et al.
Published: (2024)
by: Sivak, Jacob T., et al.
Published: (2024)
Accurate and Efficient Interatomic Potentials for Dislocations in InP
by: Rocke, Thomas, et al.
Published: (2026)
by: Rocke, Thomas, et al.
Published: (2026)
Uncertainty Quantification for Misspecified Machine Learned Interatomic Potentials
by: Perez, Danny, et al.
Published: (2025)
by: Perez, Danny, et al.
Published: (2025)
Classical and Machine Learning Interatomic Potentials for BCC Vanadium
by: Wang, Rui, et al.
Published: (2022)
by: Wang, Rui, et al.
Published: (2022)
High-density single-atom electrocatalytic centers on two-dimensional topological platinum tellurides with Te-vacancy superstructure
by: Xu, Xin, et al.
Published: (2023)
by: Xu, Xin, et al.
Published: (2023)
Beyond Scaling: Chemical Intuition as Emergent Ability of Universal Machine Learning Interatomic Potentials
by: Hattori, Shinnosuke, et al.
Published: (2025)
by: Hattori, Shinnosuke, et al.
Published: (2025)
Benchmarking Universal Machine Learning Interatomic Potentials on Elemental Systems
by: Tahmasbi, Hossein, et al.
Published: (2025)
by: Tahmasbi, Hossein, et al.
Published: (2025)
Energy Underprediction from Symmetry in Machine-Learning Interatomic Potentials
by: Nong, Wei, et al.
Published: (2025)
by: Nong, Wei, et al.
Published: (2025)
Thermal Equilibrium Vacancy Concentration in an Alloy with Chemical Short-Range Order
by: Tang, Hao, et al.
Published: (2025)
by: Tang, Hao, et al.
Published: (2025)
Mixed platinum and zirconia powder as electrocatalyst for hydrogen evolution and oxidation reaction
by: Minelli, Simone, et al.
Published: (2025)
by: Minelli, Simone, et al.
Published: (2025)
Improving Reliability of Machine Learned Interatomic Potentials With Physics-Informed Pretraining
by: Zheng, Qianyu, et al.
Published: (2026)
by: Zheng, Qianyu, et al.
Published: (2026)
Equivariant Many-body Message Passing Interatomic Potentials for Magnetic Materials
by: Ho, Cheuk Hin, et al.
Published: (2026)
by: Ho, Cheuk Hin, et al.
Published: (2026)
Machine Learning Interatomic Potentials for Million-Atom Simulations of Multicomponent Alloys
by: Shuang, Fei, et al.
Published: (2026)
by: Shuang, Fei, et al.
Published: (2026)
Multi-fidelity Machine Learning Interatomic Potentials for Charged Point Defects
by: Wang, Xinwei, et al.
Published: (2026)
by: Wang, Xinwei, et al.
Published: (2026)
Phosphorus-based lubricant additives on iron with Machine Learning Interatomic Potentials
by: Restuccia, Paolo, et al.
Published: (2025)
by: Restuccia, Paolo, et al.
Published: (2025)
Molecular Dynamics Simulations of Collision Cascades in Niobium: Comparing Interatomic Potentials
by: Mondal, S., et al.
Published: (2025)
by: Mondal, S., et al.
Published: (2025)
Nonlocality and Strength of Interatomic Interactions Inducing the Topological Phonon Phase Transition
by: Tang, Daosheng
Published: (2024)
by: Tang, Daosheng
Published: (2024)
Optimizing Cross-Domain Transfer for Universal Machine Learning Interatomic Potentials
by: Kim, Jaesun, et al.
Published: (2025)
by: Kim, Jaesun, et al.
Published: (2025)
Benchmarking Universal Machine Learning Interatomic Potentials for Elastic Property Prediction
by: Gao, Pengfei, et al.
Published: (2025)
by: Gao, Pengfei, et al.
Published: (2025)
Machine Learned Interatomic Potentials for Ternary Carbides trained on the AFLOW Database
by: Roberts, Josiah, et al.
Published: (2024)
by: Roberts, Josiah, et al.
Published: (2024)
Evaluation of Foundational Machine Learned Interatomic Potentials for Migration Barrier Predictions
by: Bheemaguli, Achinthya Krishna, et al.
Published: (2025)
by: Bheemaguli, Achinthya Krishna, et al.
Published: (2025)
Local Order Average-Atom Interatomic Potentials
by: Zeller, Chloe A., et al.
Published: (2025)
by: Zeller, Chloe A., et al.
Published: (2025)
Similar Items
-
First-principles prediction of point defect energies and concentrations in the tantalum and hafnium carbides
by: Khatri, I., et al.
Published: (2024) -
Atomistic modeling of diffusion processes at Al(Si)/Si(111) interphase boundaries obtained by vapor deposition
by: Li, Yang, et al.
Published: (2024) -
The origin of strings and rings in the atomic dynamics of disordered systems
by: Hussein, Omar, et al.
Published: (2024) -
On a relationship between grain boundary free energy, grain boundary segregation, and grain boundary diffusion
by: Mishin, Yuri
Published: (2026) -
The effect of normal stress on stacking fault energy in face-centered cubic metals
by: Li, Yang, et al.
Published: (2026)