Joseph Corbett Ferguson
Ph.D. Student in Mechanical Engineering, admitted Autumn 2018
Honors & Awards
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NASA Early Career Public Achievement Medal, NASA (2019)
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NASA Group Achievement Award, NASA (2017)
All Publications
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Gas-surface interactions in lightweight fibrous carbon materials
COMPUTATIONAL MATERIALS SCIENCE
2022; 205
View details for DOI 10.1016/j.commatsci.2022.111190
View details for Web of Science ID 000789973500011
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Continuum to rarefied diffusive tortuosity factors in porous media from X-ray microtomography
COMPUTATIONAL MATERIALS SCIENCE
2022; 203
View details for DOI 10.1016/j.commatsci.2021.111030
View details for Web of Science ID 000734352300010
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Update 3.0 to "PuMA: The Porous Microstructure Analysis software", (PII:S2352711018300281)
SOFTWAREX
2021; 15
View details for DOI 10.1016/j.softx.2021.100775
View details for Web of Science ID 000695854600039
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Anisotropic analysis of fibrous and woven materials part 2: Computation of effective conductivity
COMPUTATIONAL MATERIALS SCIENCE
2021; 186
View details for DOI 10.1016/j.commatsci.2020.109956
View details for Web of Science ID 000594746000004
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Pore-resolved simulations of porous media combustion with conjugate heat transfer
PROCEEDINGS OF THE COMBUSTION INSTITUTE
2021; 38 (2): 2127-2134
View details for DOI 10.1016/j.proci.2020.06.064
View details for Web of Science ID 000651831800025
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Anisotropic analysis of fibrous and woven materials part 1: Estimation of local orientation
COMPUTATIONAL MATERIALS SCIENCE
2020; 178
View details for DOI 10.1016/j.commatsci.2020.109631
View details for Web of Science ID 000522389500002
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Prediction of gas transport properties through fibrous carbon preform microstructures using Direct Simulation Monte Carlo
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
2019; 130: 923-937
View details for DOI 10.1016/j.ijheatmasstransfer.2018.11.006
View details for Web of Science ID 000456226400078
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PuMA: the Porous Microstructure Analysis software
SOFTWAREX
2018; 7: 81-87
View details for DOI 10.1016/j.softx.2018.03.001
View details for Web of Science ID 000457139300016
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Theoretical study on the micro-scale oxidation of resin-infused carbon ablators
CARBON
2017; 121: 552-562
View details for DOI 10.1016/j.carbon.2017.06.013
View details for Web of Science ID 000405294400061
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Micro-tomography based analysis of thermal conductivity, diffusivity and oxidation behavior of rigid and flexible fibrous insulators
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
2017; 108: 801-811
View details for DOI 10.1016/j.ijheatmasstransfer.2016.12.048
View details for Web of Science ID 000399357800067
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Modeling the oxidation of low-density carbon fiber material based on micro-tomography
CARBON
2016; 96: 57-65
View details for DOI 10.1016/j.carbon.2015.08.113
View details for Web of Science ID 000366078000008
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Ingested RNA interference for managing the populations of the Colorado potato beetle, Leptinotarsa decemlineata
PEST MANAGEMENT SCIENCE
2011; 67 (2): 175-182
Abstract
RNA interference (RNAi) is a breakthrough technology for conducting functional genomics studies and also as a potential tool for crop protection against insect pests. The major challenge for efficient pest control using RNAi in the field is the development of efficient and reliable methods for production and delivery of double-stranded RNA (dsRNA). In this paper, the potential of feeding dsRNA expressed in bacteria or synthesized in vitro to manage populations of Colorado potato beetle, Leptinotarsa decemlineata (Say) (CPB), was investigated.Feeding RNAi successfully triggered the silencing of all five target genes tested and caused significant mortality and reduced body weight gain in the treated beetles. This study provides the first example of an effective RNAi response in insects after feeding dsRNA produced in bacteria.These results suggest that the efficient induction of RNAi using bacteria to deliver dsRNA is a possible method for management of CPB. This could be also a promising bioassay approach for genome-wide screens to identify effective target genes for use as novel RNAi-based insecticides.
View details for DOI 10.1002/ps.2048
View details for Web of Science ID 000286071200007
View details for PubMedID 21061270