G
Gregory J. Wagner
Researcher at Northwestern University
Publications - 97
Citations - 6300
Gregory J. Wagner is an academic researcher from Northwestern University. The author has contributed to research in topics: Finite element method & Computer science. The author has an hindex of 35, co-authored 88 publications receiving 5192 citations. Previous affiliations of Gregory J. Wagner include Sandia National Laboratories.
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Mechanics of carbon nanotubes
TL;DR: The theoretical predictions and the experimental techniques that are most often used for the challenging tasks of visualizing and manipulating these tiny structures are reviewed and the computational approaches taken, including ab initio quantum mechanical simulations, classical molecular dynamics, and continuum models are outlined.
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Coupling of atomistic and continuum simulations using a bridging scale decomposition
Gregory J. Wagner,Wing Kam Liu +1 more
TL;DR: In this paper, the authors present a method for coupling molecular dynamics (MD) and continuum mechanics simulations that is based on the projection of the MD solution onto the coarse scale shape functions.
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Multi-physics modeling of single/multiple-track defect mechanisms in electron beam selective melting
Wentao Yan,Wentao Yan,Ge Wenjun,Ya Qian,Stephen Lin,Bin Zhou,Wing Kam Liu,Feng Lin,Gregory J. Wagner +8 more
TL;DR: In this article, a high-fidelity powder-scale model is developed to predict the detailed formation processes of single/multiple-track defects, including the balling effect, single track nonuniformity and inter-track voids.
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Modified embedded atom method potential for Al, Si, Mg, Cu, and Fe alloys
Bohumir Jelinek,Sébastien Groh,Mark F. Horstemeyer,J. Houze,Seong-Gon Kim,Gregory J. Wagner,Amitava Moitra,Michael I. Baskes +7 more
TL;DR: In this paper, a set of modified embedded-atom method (MEAM) potentials for the interactions between Al, Si, Mg, Cu, and Fe was developed from a combination of each element's MEAM potential in order to study metal alloying.
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Linking process, structure, property, and performance for metal-based additive manufacturing: computational approaches with experimental support
Jacob Smith,Wei Xiong,Wentao Yan,Stephen Lin,Puikei Cheng,Orion L. Kafka,Gregory J. Wagner,Jian Cao,Wing Kam Liu +8 more
TL;DR: In this article, the authors discuss primary detrimental hurdles that have plagued effective modeling of additive manufacturing methods for metallic materials while also providing logical speculation into preferable research directions for overcoming these hurdles, including high performance computing, multiscale modeling, materials characterization, process modeling, experimentation, and validation for final product performance of additively manufactured metallic components.