All Stories

  1. Interface phonon modes governed ultrahigh thermal conductance of diamond/cubic boron nitride interfaces
  2. Benchmarking chemically scalable machine-learning interatomic potentials for large-scale simulations of multicomponent alloys
  3. Electric-Field Control of Interlayer Binding and Friction in h -BN...
  4. Rapid Water Diffusion through Extended Networks in MOFs
  5. Moiré Superstructures as Transmission Gears for Nanosurfers Directed Motion at van der Waals Interfaces
  6. Anisotropic and isotropic elasticity and thermal transport in monolayer C24 networks from machine-learning molecular dynamics
  7. Accurate Modeling of Interfacial Thermal Transport in van der Waals Heterostructures via Hybrid Machine Learning and Registry-Dependent Potentials
  8. Thermal conductivities of monolayer graphene oxide from machine learning molecular dynamics simulations
  9. Modular hybrid machine learning and physics-based potentials for scalable modeling of Van der Waals heterostructures
  10. Machine Learning Molecular Dynamics Simulations on Piezopotentials of Hexagonal Boron Nitride/Graphene Lateral Heterostructures: Implications for Flexible Piezoelectric Devices
  11. Author Correction: Switching graphitic polytypes in elastically coupled cavities
  12. Switching graphitic polytypes in elastically coupled cavities
  13. Probing the ideal limit of interfacial thermal conductance in two-dimensional van der Waals heterostructures
  14. AlphaNet: scaling up local-frame-based neural network interatomic potentials
  15. NEP-MB-pol: a unified machine-learned framework for fast and accurate prediction of water’s thermodynamic and transport properties
  16. GPUMD 4.0: A high‐performance molecular dynamics package for versatile materials simulations with machine‐learned potentials
  17. Softening of Vibrational Modes and Anharmonicity Induced Thermal Conductivity Reduction in a‐Si:H at High Temperatures
  18. Scaling‐Up of Structural Superlubricity: Challenges and Opportunities
  19. Chemifriction and Superlubricity: Friends or Foes?
  20. Advances in modeling complex materials: The rise of neuroevolution potentials
  21. Publisher's Note: “Advances in modeling complex materials: The rise of neuroevolution potentials” [Chem. Phys. Rev. 6 , 011310 (2025)]
  22. Highly efficient path-integral molecular dynamics simulations with GPUMD using neuroevolution potentials: Case studies on thermal properties of materials
  23. Phonon coherence and minimum thermal conductivity in disordered superlattices
  24. General-purpose machine-learned potential for 16 elemental metals and their alloys
  25. Plasticity of Metal–Organic Framework Crystals: Thermally Activated Collapse of Nanopores
  26. Superlubric Graphullerene
  27. Correcting force error-induced underestimation of lattice thermal conductivity in machine learning molecular dynamics
  28. Molecular dynamics simulations of heat transport using machine-learned potentials: A mini-review and tutorial on GPUMD with neuroevolution potentials
  29. Effect of Interlayer Bonding on Superlubric Sliding of Graphene Contacts: A Machine-Learning Potential Study
  30. Combining linear-scaling quantum transport and machine-learning molecular dynamics to study thermal and electronic transports in complex materials
  31. Erratum: Combining the D3 dispersion correction with the neuroevolution machine-learned potential (2024 J. Phys.: Condens. Matter  36 125901)
  32. Dissimilar thermal transport properties in κ-Ga2O3 and β-Ga2O3 revealed by homogeneous nonequilibrium molecular dynamics simulations using machine-learned potentials
  33. Anomalous strain-dependent thermal conductivity in the metal-organic framework HKUST-1
  34. The thermoelastic properties of monolayer covalent organic frameworks studied by machine-learning molecular dynamics
  35. Combining the D3 dispersion correction with the neuroevolution machine-learned potential
  36. Mechanisms of temperature-dependent thermal transport in amorphous silica from machine-learning molecular dynamics
  37. Sub-Micrometer Phonon Mean Free Paths in Metal–Organic Frameworks Revealed by Machine Learning Molecular Dynamics Simulations
  38. Anisotropic and high thermal conductivity in monolayer quasi-hexagonal fullerene: A comparative study against bulk phase fullerene
  39. Accurate prediction of heat conductivity of water by a neuroevolution potential
  40. Variable thermal transport in black, blue, and violet phosphorene from extensive atomistic simulations with a neuroevolution potential
  41. Dual effects of hetero-interfaces on phonon thermal transport across graphene/C3N lateral superlattices
  42. Atomistic insights into the mechanical anisotropy and fragility of monolayer fullerene networks using quantum mechanical calculations and machine-learning molecular dynamics simulations
  43. Modeling of load responses and aging of high strength fibers considering UV-radiation
  44. Mechanical and thermal properties of graphyne-coated carbon nanotubes: a molecular dynamics simulation on one-dimensional all-carbon van der Waals heterostructures
  45. GPUMD: A package for constructing accurate machine-learned potentials and performing highly efficient atomistic simulations
  46. Atomistic insights into the mechanical anisotropy and fragility of monolayer fullerene networks using quantum mechanical calculations and machine-learning molecular dynamics simulations
  47. Anisotropic mechanical properties of monolayer fullerene network: An interplay between two types of interfullerene bonds
  48. Tension-Induced Phase Transformation and Anomalous Poisson Effect in Violet Phosphorene
  49. Thermal transport in planar sp2-hybridized carbon allotropes: A comparative study of biphenylene network,...
  50. Delamination of MoS2/SiO2 interfaces under nanoindentation
  51. Thermal transport in planar sp2-hybridized carbon allotropes: A comparative study of biphenylene network, pentaheptite and graphene
  52. Thermal transport in planar sp2-hybridized carbon allotropes: A comparative study of biphenylene network, pentaheptite and graphene
  53. Prediction and optimization of the thermal transport in hybrid carbon-boron nitride honeycombs using machine learning
  54. Thermal transport in planar sp2-hybridized carbon allotropes: A comparative study of biphenylene network, pentaheptite and graphene
  55. Thermal transport in planar sp2-hybridized carbon allotropes: A comparative study of biphenylene network, pentaheptite and graphene
  56. Effect of Phase Transition on the Thermal Transport in Isoreticular DUT Materials
  57. Effect of Phase Transition on the Thermal Transport in Isoreticular DUT Materials
  58. Abnormal Effect of Phase Transition on Thermal Transport in Soft Porous Crystals
  59. Abnormal Effect of Phase Transition on Thermal Transport in Soft Porous Crystals
  60. Effects of cell defects on the mechanical and thermal properties of carbon honeycombs
  61. Pressure-induced phase transition of isoreticular MOFs: Mechanical instability due to ligand buckling
  62. Thermal Transport in One-Dimensional Van Der Waals Heterostructures: Effects of Coating Layers on the Thermal Conductivity of Carbon Nanotubes
  63. Mechanical behaviors of MoS nanowires under tension from molecular dynamics simulations
  64. Impacts of Functional Group Substitution and Pressure on the Thermal Conductivity of ZIF-8
  65. Effects of interlayer interactions on the nanoindentation response of freely suspended multilayer gallium telluride
  66. Mechanical properties of monolayer ternary transitional metal dichalogenides MoS2xTe2(1 − x): A molecular dynamics study
  67. Study on collapse controlling of single-wall carbon nanotubes by helium storage