K
Kevin Kaufmann
Researcher at University of California, San Diego
Publications - 42
Citations - 2258
Kevin Kaufmann is an academic researcher from University of California, San Diego. The author has contributed to research in topics: Electron backscatter diffraction & Catalysis. The author has an hindex of 21, co-authored 40 publications receiving 1460 citations. Previous affiliations of Kevin Kaufmann include University of California.
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Journal ArticleDOI
Phase stability and mechanical properties of novel high entropy transition metal carbides
Tyler Harrington,Joshua Gild,Pranab Sarker,Cormac Toher,Christina M. Rost,Olivia F. Dippo,Cameron McElfresh,Kevin Kaufmann,Eduardo Marin,Lucas Borowski,Patrick E. Hopkins,Jian Luo,Stefano Curtarolo,Donald W. Brenner,Kenneth S. Vecchio +14 more
TL;DR: In this paper, a new ab initio entropy descriptor was developed to assist in selection of candidate compositions for synthesis of high entropy and entropy stabilized carbides. But the proposed descriptor is not suitable for high-energy ball milling and spark plasma sintering.
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Water-Driven Micromotors for Rapid Photocatalytic Degradation of Biological and Chemical Warfare Agents
Jinxing Li,Virendra Singh,Sirilak Sattayasamitsathit,Jahir Orozco,Kevin Kaufmann,Renfeng Dong,Wei Gao,Beatriz Jurado-Sánchez,Yuri Fedorak,Joseph Wang +9 more
TL;DR: A highly effective micromotor strategy for photocatalytic degradation of CBWA based on light-activated TiO2/Au/Mg microspheres that propel autonomously in natural water and obviate the need for external fuel, decontaminating reagent, or mechanical agitation is presented.
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A high-entropy silicide: (Mo0.2Nb0.2Ta0.2Ti0.2W0.2)Si2
Joshua Gild,Jeffrey L. Braun,Kevin Kaufmann,Eduardo Marin,Tyler Harrington,Patrick E. Hopkins,Kenneth S. Vecchio,Jian Luo +7 more
TL;DR: A high-entropy metal disilicide, (Mo 0.2Nb0.2Ta0.6222)Si2, has been successfully synthesized as discussed by the authors.
Journal ArticleDOI
Discovery of high-entropy ceramics via machine learning
Kevin Kaufmann,Daniel Maryanovsky,William M. Mellor,Chaoyi Zhu,Alexander S. Rosengarten,Tyler Harrington,Corey Oses,Cormac Toher,Stefano Curtarolo,Kenneth S. Vecchio +9 more
TL;DR: In this paper, the authors proposed an ML method, leveraging thermodynamic and compositional attributes of a given material for predicting the synthesizability (i.e., entropy-forming ability) of disordered metal carbides.
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Aptamer-Modified Graphene-Based Catalytic Micromotors: Off–On Fluorescent Detection of Ricin
Berta Esteban-Fernández de Ávila,Miguel Angel Lopez-Ramirez,Daniela F. Báez,Adrián Jodra,Virendra Singh,Kevin Kaufmann,Joseph Wang +6 more
TL;DR: Coupling the “Off-On” fluorescent switching properties of the aptamer modified-rGO/Pt micromotors with their inherent mixing capabilities thus leads to high speed, simplicity, and sensitivity advantages, thus addressing the limitations of current ricin detection strategies.