105 citations · 159 across the 7 of their papers we have counts for
7 papers
Strong Fiber from Uniaxial Fullerene Supramolecules Aligned with Carbon Nanotubes
John Bulmer, Michelle Durán-Chaves, Daniel M. Long +10
Carbon nanotube (CNT) wires approach copper's specific conductivity and surpass carbon fiber's strength, with further improvement anticipated with greater aspect ratios and incorpo…
Active Learning of Piecewise Gaussian Process Surrogates
Chiwoo Park, Robert Waelder, Bonggwon Kang +3
Active learning of Gaussian process (GP) surrogates has been useful for optimizing experimental designs for physical/computer simulation experiments, and for steering data acquisit…
Benchmarking the Performance of Bayesian Optimization across Multiple Experimental Materials Science Domains
Qiaohao Liang, Aldair E. Gongora, Zekun Ren +12
In the field of machine learning (ML) for materials optimization, active learning algorithms, such as Bayesian Optimization (BO), have been leveraged for guiding autonomous and hig…
Gaussian process surrogate modeling with manipulating factors for carbon nanotube growth experiments
Chiwoo Park, Rahul Rao, Pavel Nikolaev +1
This paper presents a new Gaussian process (GP) surrogate modeling for predicting the outcome of a physical experiment where some experimental inputs are controlled by other manipu…
Spectroscopic Evaluation of Charge-transfer Doping and Strain in Graphene/MoS2 Heterostructures
Rahul Rao, Ahmad E. Islam, Simranjeet Singh +4
It is important to study the van der Waals interface in emerging vertical heterostructures based on layered two-dimensional (2D) materials. Being atomically thin, 2D materials are…
Evidence for Adsorbate-Enhanced Field Emission from Carbon Nanotube Fibers
P. T. Murray, T. C. Back, M. M. Cahay +4
We used residual gas analysis (RGA) to identify the species desorbed during field emission (FE) from a carbon nanotube (CNT) fiber. The RGA data show a sharp threshold for H2 desor…