David A. Boyd

TL;DR: A new method for performing and miniaturizing many types of heterogeneous catalysis involving nanoparticles, which makes use of the plasmon resonance present in nanoscale metal catalysts to provide the necessary heat of reaction when illuminated with a low-power laser.

TL;DR: The technique makes use of the plasmon resonance in nanoscale metal structures to produce the local heating necessary to initiate deposition when illuminated by a focused low-power laser, and can be used to spatially control the deposition of virtually any material for which a CVD process exists.

TL;DR: A plasma-enhanced CVD chemistry that enables the entire process to take place in a single step, at reduced temperatures (<420 °C), and in a matter of minutes, indicates that elevated temperatures and crystalline substrates are not necessary for synthesizing high-quality graphene.

TL;DR: It is demonstrated that when a small amount of heat is added close to a liquid-vapor interface of a captive gas bubble in a microchannel, interphase mass-transfer through the bubble can occur in a controlled manner with only a slight change in the temperature of the fluid.

TL;DR: This work demonstrates a framework in which machine learning accelerates data interpretation by leveraging the expertize of the human scientist, and uses the use of neural network gradient analysis to automate prediction of the directions in parameter space that may increase performance by moving beyond the confines of existing data.