Research paper
Computational DFTComputational AimdComputed PhononEach sample groups how it was prepared, characterized, and measured. Click a card to expand.
1 characterization1 figure
3 properties
No measurements recorded
No measurements recorded
No measurements recorded
No measurements recorded
No measurements recorded
No measurements recorded
No measurements recorded
No measurements recorded
No measurements recorded
| Type | Label | Value | Material | Sample | Condition | Source |
|---|---|---|---|---|---|---|
| Formation Energy | VGe formation energy | 0.46eV | — | |||
| Formation Energy | VGe formation energy | 0.46eV | — | |||
| Diffusion Barrier | VGe diffusion barrier | 1.04eV | — | |||
| Xrd Space Group | space group | P63mc | — | — | — | — |
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Each sample groups how it was prepared, characterized, and measured. Click a card to expand.
1 characterization1 figure
3 properties
No measurements recorded
No measurements recorded
No measurements recorded
No measurements recorded
No measurements recorded
No measurements recorded
No measurements recorded
No measurements recorded
No measurements recorded
| Type | Label | Value | Material | Sample | Condition | Source |
|---|---|---|---|---|---|---|
| Formation Energy | VGe formation energy | 0.46eV | — | |||
| Formation Energy | VGe formation energy | 0.46eV | — | |||
| Diffusion Barrier | VGe diffusion barrier | 1.04eV | — | |||
| Xrd Space Group | space group | P63mc | — | — | — | — |
Related documents with shared materials, methods, properties, or citations.
Domain-Wall-Mediated Ultralow-Barrier Sliding and Pinning in Ferroelectric Moiré Superlattices Revealed by Machine Learning
Exact heat flux formula and its spectral decomposition in molecular dynamics for arbitrary many-body potentials
Accelerating the calculation of electron-phonon coupling by machine learning methods
Capturing Nuclear Quantum Effects in Hydrogen Diffusion through MoS2 via Machine-Learning-Enhanced Path-Integral Simulations
Multiferroic materials based on transition-metal dichalcogenides: Potential platform for reversible control of Dzyaloshinskii-Moriya interaction and skyrmion via electric field
Enhancing heat transport in MoS2 via defect-engineering
Ultrafast Charge Transfer Enhancement in CdS-MoS2 via Linker Molecule
Fine-Tuned Machine-Learned Interatomic Potentials for Structural and Vibrational Properties of Twisted 2D Materials
Lattice initialisation and finite-size effects of non-equilibrium molecular dynamics simulations for heat transfer across graphene–copper interfaces
Each sample groups how it was prepared, characterized, and measured. Click a card to expand.
1 characterization1 figure
3 properties
No measurements recorded
No measurements recorded
No measurements recorded
No measurements recorded
No measurements recorded
No measurements recorded
No measurements recorded
No measurements recorded
No measurements recorded
| Type | Label | Value | Material | Sample | Condition | Source |
|---|---|---|---|---|---|---|
| Formation Energy | VGe formation energy | 0.46eV | — | |||
| Formation Energy | VGe formation energy | 0.46eV | — | |||
| Diffusion Barrier | VGe diffusion barrier | 1.04eV | — | |||
| Xrd Space Group | space group | P63mc | — | — | — | — |
Related documents with shared materials, methods, properties, or citations.
Domain-Wall-Mediated Ultralow-Barrier Sliding and Pinning in Ferroelectric Moiré Superlattices Revealed by Machine Learning
Exact heat flux formula and its spectral decomposition in molecular dynamics for arbitrary many-body potentials
Accelerating the calculation of electron-phonon coupling by machine learning methods
Capturing Nuclear Quantum Effects in Hydrogen Diffusion through MoS2 via Machine-Learning-Enhanced Path-Integral Simulations
Multiferroic materials based on transition-metal dichalcogenides: Potential platform for reversible control of Dzyaloshinskii-Moriya interaction and skyrmion via electric field
Enhancing heat transport in MoS2 via defect-engineering
Ultrafast Charge Transfer Enhancement in CdS-MoS2 via Linker Molecule
Fine-Tuned Machine-Learned Interatomic Potentials for Structural and Vibrational Properties of Twisted 2D Materials
Lattice initialisation and finite-size effects of non-equilibrium molecular dynamics simulations for heat transfer across graphene–copper interfaces
Each sample groups how it was prepared, characterized, and measured. Click a card to expand.
1 characterization1 figure
3 properties
No measurements recorded
No measurements recorded
No measurements recorded
No measurements recorded
No measurements recorded
No measurements recorded
No measurements recorded
No measurements recorded
No measurements recorded
| Type | Label | Value | Material | Sample | Condition | Source |
|---|---|---|---|---|---|---|
| Formation Energy | VGe formation energy | 0.46eV | — | |||
| Formation Energy | VGe formation energy | 0.46eV | — | |||
| Diffusion Barrier | VGe diffusion barrier | 1.04eV | — | |||
| Xrd Space Group | space group | P63mc | — | — | — | — |
Related documents with shared materials, methods, properties, or citations.
Domain-Wall-Mediated Ultralow-Barrier Sliding and Pinning in Ferroelectric Moiré Superlattices Revealed by Machine Learning
Exact heat flux formula and its spectral decomposition in molecular dynamics for arbitrary many-body potentials
Accelerating the calculation of electron-phonon coupling by machine learning methods
Capturing Nuclear Quantum Effects in Hydrogen Diffusion through MoS2 via Machine-Learning-Enhanced Path-Integral Simulations
Multiferroic materials based on transition-metal dichalcogenides: Potential platform for reversible control of Dzyaloshinskii-Moriya interaction and skyrmion via electric field
Enhancing heat transport in MoS2 via defect-engineering
Ultrafast Charge Transfer Enhancement in CdS-MoS2 via Linker Molecule
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Lattice initialisation and finite-size effects of non-equilibrium molecular dynamics simulations for heat transfer across graphene–copper interfaces