578 citations · 719 across the 8 of their papers we have counts for
8 papers
Semi-Supervised Graph Imbalanced Regression
Gang Liu, Tong Zhao, Eric Inae +2
Data imbalance is easily found in annotated data when the observations of certain continuous label values are difficult to collect for regression tasks. When they come to molecule…
Bubble Nucleation and Growth on Microstructure Surface under Microgravity
Qiushi Zhang, Dongchuan Mo, Jiya Janowitz +6
Understanding the nucleation and growth dynamics of the surface bubbles generated on a heated surface can benefit a wide range of modern technologies, such as the cooling systems o…
Bayesian Optimization of Metastable Nickel Formation During the Spontaneous Crystallization under Extreme Conditions
Sina Malakpour Estalaki, Tengfei Luo, Khachatur V. Manukyan
Spontaneous crystallization of metals under extreme conditions is a unique phenomenon occurring under far-from-equilibrium conditions that could enable the development of revolutio…
Tuning Optical Properties of Metamaterials by Mie Scattering for Efficient Sub-ambient Daytime Radiative Cooling
Shiwen Wu, Ruda Jian, Lyu Zhou +5
The management of the abundant eggshell biowaste produced worldwide has become a problematic issue due to the generated odor and microorganisms after directly disposing eggshell bi…
Leveraging Low-Fidelity Data to Improve Machine Learning of Sparse High-Fidelity Thermal Conductivity Data via Transfer Learning
Zeyu Liu, Meng Jiang, Tengfei Luo
Lattice thermal conductivity (TC) of semiconductors is crucial for various applications, ranging from microelectronics to thermoelectrics. Data-driven approach can potentially esta…
Predicting Defects in Laser Powder Bed Fusion using in-situ Thermal Imaging Data and Machine Learning
Sina Malakpour Estalaki, Cody S. Lough, Robert G. Landers +2
Variation in the local thermal history during the laser powder bed fusion (LPBF) process in additive manufacturing (AM) can cause microporosity defects. in-situ sensing has been pr…