Riccardo Rurali

most citedAccelerating Discovery of Extreme Lattice Thermal Conductivity by Crystal Attention Graph Neural Network (CATGNN) Using Chemical Bonding Intuitive Descriptors

6 citations · 6 across the 2 of their papers we have counts for

collaborators

3 papers

cond-mat.mtrl-sci2026

Nanoscale origin of thermal anisotropy in monoclinic \texorpdfstring{ $β$ -Ga $_{2}$ O $_{3}$ }{beta-Ga2O3}

Kai Xu, Shuo Zhao, Luca Sung-Min Choi +19

Monoclinic $β$ -Ga $_{2}$ O $_{3}$ is a promising ultra-wide-bandgap semiconductor for power electronics, but its low and anisotropic thermal conductivity limits heat removal, making it a…

cond-mat.mtrl-sci2026

Microscopic Origin of Temperature-Dependent Anisotropic Heat Transport in Ultrawide-Bandgap Rutile GeO2

Pouria Emtenani, Marta Loletti, Felix Nippert +7

Ultrawide-bandgap rutile GeO2 is emerging as a promising semiconductor for power electronics, where efficient heat dissipation is essential to suppress self-heating and ensure devi…

cond-mat.mtrl-sci2024★ 6 cited

Accelerating Discovery of Extreme Lattice Thermal Conductivity by Crystal Attention Graph Neural Network (CATGNN) Using Chemical Bonding Intuitive Descriptors

Mohammed Al-Fahdi, Riccardo Rurali, Jianjun Hu +2

Designing materials with targeted lattice thermal conductivity (LTC) demands electronic-level insight into chemical bonding. We introduce two bonding descriptors, namely normalized…

Nanoscale origin of thermal anisotropy in monoclinic \texorpdfstring{β-Ga2​O3​}{beta-Ga2O3}

Microscopic Origin of Temperature-Dependent Anisotropic Heat Transport in Ultrawide-Bandgap Rutile GeO2

Accelerating Discovery of Extreme Lattice Thermal Conductivity by Crystal Attention Graph Neural Network (CATGNN) Using Chemical Bonding Intuitive Descriptors

Nanoscale origin of thermal anisotropy in monoclinic \texorpdfstring{ $β$ -Ga $_{2}$ O $_{3}$ }{beta-Ga2O3}