|
deep learning |
3 |
|
large language model |
3 |
|
materials classification |
3 |
|
prompt engineering |
3 |
|
crack tip plasticity |
2 |
|
dislocations |
2 |
|
metallic material |
2 |
|
molecular dynamics |
2 |
|
twinning |
2 |
|
ab-initio calculation and molecular dynamics simulation |
1 |
|
airflow |
1 |
|
alumino-silicides |
1 |
|
borothermal reduction |
1 |
|
carbides |
1 |
|
carbothermal reduction |
1 |
|
ceramics |
1 |
|
chemical short-range ordering |
1 |
|
core-deviated structure |
1 |
|
crystal structure |
1 |
|
damage tolerance |
1 |
|
dislocation |
1 |
|
electrical resistivity |
1 |
|
fibrous aerogels |
1 |
|
first-principle calculations |
1 |
|
first-principles calculations |
1 |
|
glass forming ability |
1 |
|
glass-forming ability |
1 |
|
high-entropy carbides |
1 |
|
high-entropy ceramics |
1 |
|
high-entropy diborides |
1 |
|
high-entropy materials |
1 |
|
high-entropy metal carbides |
1 |
|
high-throughput methods |
1 |
|
immiscible alloy |
1 |
|
incipient behavior |
1 |
|
interatomic potential |
1 |
|
lattice distortion |
1 |
|
liquid-liquid phase separation |
1 |
|
lithium |
1 |
|
local structure and chemical orders |
1 |
|
machine learning |
1 |
|
mechanical performances |
1 |
|
mechanical properties |
1 |
|
metal carbides |
1 |
|
metal diborides |
1 |
|
metallic glass |
1 |
|
metallic glasses |
1 |
|
microstructure |
1 |
|
molecular dynamics simulation |
1 |
|
molten salt synthesis |
1 |
|
multi-principal element alloy |
1 |
|
nanoindentation simulations |
1 |
|
nanorods |
1 |
|
nanostructures |
1 |
|
nitrides |
1 |
|
oxidation |
1 |
|
oxidation behavior |
1 |
|
palladium |
1 |
|
parabolic rate law |
1 |
|
phase transformation |
1 |
|
powder |
1 |
|
powders |
1 |
|
screw dislocation growth |
1 |
|
short-range orders |
1 |
|
solid solutions |
1 |
|
solid-solution ceramics |
1 |
|
solid-solution powders |
1 |
|
thermal physical properties |
1 |
|
thermodynamic properties |
1 |
|
transition-metal diborides |
1 |
|
ultra-high temperature ceramics |
1 |
