Machine learning on dislocation loop energies reveals a single universal irregularity parameter that controls both thermodynamic properties and self-climb dynamics of non-compact prismatic loops.
(16), (17), and (18), respectively, while those for (a-2), (b-2) and (c-2) are predicted by Eqs
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cond-mat.mtrl-sci 1years
2026 1verdicts
UNVERDICTED 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Thermodynamics and dynamics of non-compact prismatic dislocation loops simulated using a machine-learning model
Machine learning on dislocation loop energies reveals a single universal irregularity parameter that controls both thermodynamic properties and self-climb dynamics of non-compact prismatic loops.