A unified neural-network interatomic potential enables large-scale simulations that predict thermal boundary conductance at Ga2O3/SiC interfaces decreases with transport length, rises with temperature, and is higher for the (201) than the (100) orientation.
Interfacial thermal transport investigation ofβ-Ga2O3/4H-SiC power devices via active-learning- driven neuroevolution potential.Int
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cond-mat.mtrl-sci 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Physics-Grounded Understanding of Thermal Boundary Conductance between Ga$_2$O$_3$ and SiC from a Feedforward Neural Network Potential
A unified neural-network interatomic potential enables large-scale simulations that predict thermal boundary conductance at Ga2O3/SiC interfaces decreases with transport length, rises with temperature, and is higher for the (201) than the (100) orientation.