2 citations · 3 across the 3 of their papers we have counts for
3 papers
physics.app-ph2020
Light-Guided Surface Plasmonic Bubble Movement via Contact Line De-Pinning by In-Situ Deposited Plasmonic Nanoparticle Heating
Qiushi Zhang, Yunsong Pang, Jarrod Schiffbauer +4
Precise spatio-temporal control of surface bubble movement can benefit a wide range of applications like high-throughput drug screening, combinatorial material development, microfl…
physics.flu-dyn2019★ 2 cited
Surface Bubble Growth in Plasmonic Nanoparticle Suspension
Qiushi Zhang, Robert Douglas Neal, Dezhao Huang +3
Understanding the growth dynamics of the microbubbles produced by plasmonic heating can benefit a wide range of applications like microfluidics, catalysis, micro-patterning and pho…
cond-mat.mtrl-sci2019★ 1 cited
A Unified Deep Neural Network Potential Capable of Predicting Thermal Conductivity of Silicon in Different Phases
Ruiyang Li, Eungkyu Lee, Tengfei Luo
Molecular dynamics simulations have been extensively used to predict thermal properties, but simulating different phases with similar precision using a unified force field is often…