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.
Improving interfacial thermal conductivity by constructing covalent bond between Ga2O3 and SiC.Nat
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.