Special Session 9
COMPUTATIONAL/THEORETICAL MODELING OF DIFFUSION KINETICS IN MATERIALS (SS9)


Traditionally diffusion has been investigated mainly via experiment. In recent years, computational modeling has shown strong power in the prediction of diffusion in various materials, particularly with the development of density functional theory and the machine learning techniques. Other simulation methods such as CALPHAD and phasefield modeling are developing fast for modeling diffusion. Thus, this session focuses on the latest developments in diffusion modeling and simulation.

Diffusion simulation techniques (but not be limited to):

  • Density functional theory
  • Molecular dynamics
  • Theoretical/phenomelogical models
  • CALPHAD
  • Phase-field models
  • Machine learning techniques

 

ORGANISER(S):

  • Dr. Xi Zhang University of Stuttgart, Germany
    xi.zhang@imw.uni-stuttgart.de

    OPENING TALK:
    'HIERARCHICAL GENERATION OF TRANSFERABLE INTERATOMIC
    INTERACTIONS COUPLING CHEMICAL AND THERMAL DEGREES
    OF FREEDOM IN MULTICOMPONENT ALLOYS'
    ABSTRACT (PDF)
  • Prof. Liang Qi University of Michigan,
    USA
    qiliang@umich.edu
  • Prof. Penghui Cao University of California,
    USA
    caoph@uci.edu

    INTRODUCTORY TALK:
    'VACANCY DIFFUSION BARRIER SPECTRUM AND DIFFUSION
    CORRELATION IN MULTICOMPONENT ALLOYS'
    ABSTRACT (PDF)
  • Prof. Anton Van Der Ven University of California Santa Barbara,
    USA
    avdv@engineering.ucsb.edu 

 

PUBLICATION:

 

INVITED SPEAKER(S):

  • ‘A UNIFIED THERMODYNAMIC FRAMEWORK: FROM EQUILIBRIUM
    AND NONEQUILIBRIUM TO ZENTROPY, CROSS PHENOMENA, AND
    APPLICATIONS IN AI AND AI SAFETY’
    Prof. Zi-Kui Liu
    Pennsylvania State University,
    USA
    ABSTRACT (PDF)
  • 'PHASE-FIELD MODEL OF DIFFUSIONAL PROCESSES INVOLVING BOTH
    STOCHIOMETRIC AND SOLUTION PHASES'
    Prof. Long-Qing Chen
    PSU,
    USA
    ABSTRACT (PDF)
  • 'AB INITIO MACHINE-LEARNING UNVEILS STRONG ANHARMONICITY IN
    NON-ARRHENIUS SELFDIFFUSION OF TUNGSTEN'
    Prof. Blazej Grabowski
    University Stuttgart,
    Germany
    ABSTRACT (PDF)
  • ‘ATOMIC DIFFUSION IN MAGNETIC METALLIC ALLOYS VIA
    AB-INITIO BASED SPIN-ATOMIC MONTE CARLO SIMULATIONS’
    Prof. Chu-Chun Fu
    CEA-Saclay,
    France
    ABSTRACT (PDF)
  • ‘PHYSICS‑INFORMED AI FOR THERMODYNAMICS AND KINETICS’Prof. Jörg Neugebauer
    MPI-SusMat,
    Germany
    ABSTRACT (PDF)
  • ‘HIGH-THROUGHPUT STYLE SCREENING FOR
    DESIRED ELECTRODE MICROSTRUCTURES’
    Prof. Hui-Chia Yu
    Michigan State University,
    USA
    ABSTRACT (PDF)
  • ‘A UNIFIED UNDERSTANDING OF THE EFFECTS OF
    MOBILE INTERSTITIALS ON VACANCY DIFFUSION’
    Prof. Shigenobu Ogata
    Osaka University,
    Japan
    ABSTRACT (PDF)
  • ‘PREDICTIVE ATOMISTIC MODELING OF DIFFUSION AND
    SOLIDIFICATION IN METALS AND ALLOYS’
    Prof. Rodrigo Freitas
    MIT,
    USA
  • ‘VOIDS OR STACKING-FAULT TETRAHEDRA INDUCED BY DIFFUSION
    AND LOCAL CHEMICAL VARIATIONS IN HIGH ENTROPY ALLOYS’
    Prof. Fei Gao
    University of Michigan,
    USA
    ABSTRACT (PDF)
  • ‘ACCELERATING FIRST-PRINCIPLES PREDICTIONS OF THERMODYNAMICS
    AND DIFFUSION IN COMPLEX CONCENTRATED ALLOYS’
    Prof. Anirudh Raju Natarajan
    EPFL,
    Switzerland
    ABSTRACT (PDF)
  • Prof. Lijun Zhang
    Central South University,
    China
  • ‘THE SORET AND SEEBECK EFFECTS AND DENDRITE GROWTH IN
    METAL-ANODE BATTERIES’
    Prof. Peter Voorhees
    Northwestern University,
    USA
    ABSTRACT (PDF)
  • 'ELUCIDATING GRAIN-BOUNDARY–DRIVEN IONIC CONDUCTION IN
    PEROVSKITE SOLID ELECTROLYTES VIA 4D-STEM AND MULTIMODAL
    SPECTROSCOPY'
    Prof. Xiaoqing Pan
    University of California,
    USA
    ABSTRACT (PDF)