ScholarGate
Asistents

Salīdzināt metodes

Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.

CALPHAD×Molekulārā dinamika×
NozareMateriālzinātneMateriālzinātne
SaimeProcess / pipelineProcess / pipeline
Izcelsmes gads19701957
AutorsLarry KaufmanAlder and Wainwright
TipsComputational methodSimulation method
PirmavotsKaufman, L., & Bernstein, H. (1970). Computer Calculation of Phase Diagrams. Academic Press. link ↗Alder, B. J., & Wainwright, T. E. (1957). Phase transition for a hard sphere system. The Journal of Chemical Physics, 27(5), 1208-1209. DOI ↗
Citi nosaukumiCALPHAD method, computational thermodynamicsMD simulation, molecular dynamics simulation, atomistic simulation
Saistītās33
KopsavilkumsCALPHAD (CALculation of PHAse Diagrams) is a computational method for predicting thermodynamic equilibrium properties and phase diagrams of multicomponent alloys. Pioneered by Larry Kaufman in 1970, CALPHAD combines experimental and computational data to assess thermodynamic properties of phases and subsequently predict equilibrium conditions. It is the standard methodology in physical metallurgy and materials design for alloy development, process optimization, and understanding phase stability.Molecular Dynamics (MD) is a computational technique that simulates the motion of atoms and molecules by solving Newton's equations of motion under specified forces. Pioneered by Alder and Wainwright in 1957, MD integrates time-dependent atomic trajectories from initial positions, allowing prediction of material properties, phase transitions, and dynamic behavior. It bridges the gap between quantum mechanics (which determines interatomic forces) and macroscopic phenomena (accessible only through experiment), enabling study of timescales from femtoseconds to microseconds and length scales from angstroms to hundreds of nanometers.
ScholarGateDatu kopa
  1. v1
  2. 3 Avoti
  3. PUBLISHED
  1. v1
  2. 3 Avoti
  3. PUBLISHED

Doties uz meklēšanu Lejupielādēt slaidus

ScholarGateSalīdzināt metodes: CALPHAD · Molecular Dynamics. Izgūts 2026-06-17 no https://scholargate.app/lv/compare