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
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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
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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
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
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
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