||One main objective of this high-entropy materials (HEMs) symposium is to connect the high entropy alloys (HEAs) or the more broadly defined multi-principal-element alloys (MPEAs) community with the conventional materials community that has already created a vast number of multi-component compounds, such as intermetallics, ceramics, and functional materials. Another objective is to promote the design and development of high-performance materials for industrial applications exploring complex composition. It is recognized that configurational entropy does not always dominate materials properties, and efficient and reliable methods are urgently needed to accelerate discovery of new cost-effective materials for wide arrays of industrial applications. As such this symposium solicits recent quality research on fundamental understanding and applications of high-entropy materials.
Topics of interest include but not limited to:
(1) Combinatorial synthesis methods in bulk and thin film forms
(2) Advanced manufacturing and joining (e.g., additive manufacturing, friction stir welding)
(3) Novel microstructures (e.g., heterogeneous, hierarchical, short-range ordering)
(4) High-throughput characterization of the phases, microstructures, and properties
(5) Advanced characterization, such as neutron and synchrotron scattering and atom probe tomography
(6) Thermodynamic and kinetic properties
(7) Mechanical properties (e.g., elasticity, plasticity, strength, hardness, wear, ductility, toughness, creep, and fatigue)
(8) Other physical and functional properties, such as electric/ionic/thermal conductivities, and magnetic, magnetocaloric, thermoelectric, superconducting, dielectric, optical, catalytic) properties.
(9) Environmental properties (e.g., aqueous corrosion, oxidation, erosion, irradiation, hydrogen storage, cryogenic temperatures, elevated temperatures, high pressure, high strain rates)
(10) Interfaces in HEMs and other defects (e.g. vacancy, stacking fault, twin, dislocation, grain boundary, and surface, etc.)
(11) Theoretical modeling and simulation using density functional theory, molecular dynamics, dislocation theory and dynamics, Monte Carlo, phase-field, CALPHAD, and continuum.
(12) Machine learning, artificial intelligence, machine learning potential development, inverse materials design.