L
Laura H. Lewis
Researcher at Northeastern University
Publications - 234
Citations - 6256
Laura H. Lewis is an academic researcher from Northeastern University. The author has contributed to research in topics: Coercivity & Magnetization. The author has an hindex of 36, co-authored 230 publications receiving 5472 citations. Previous affiliations of Laura H. Lewis include Columbia University & Center for Functional Nanomaterials.
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Crystallographic texture determinations from inverse susceptibility measurements
Laura H. Lewis,David O. Welch +1 more
TL;DR: In this article, the analysis of inverse paramagnetic susceptibility measurements constitutes a new method to investigate crystallographic texture and magnetic properties in advanced permanent magnets, and is used to evaluate magnetic measurements taken from a series of Nd{sub 2}Fe{sub 14}B magnets that have been processed by different means and thus contain different degrees of texture.
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En route to next-generation nerve repair: static passive magnetostimulation modulates neurite outgrowth
Katelyn Neuman,Xiaoyu Zhang,Caroline Elaine Mills,Ryan A. Koppes,Laura H. Lewis,Abigail N. Koppes +5 more
TL;DR: In this paper , the effects of DC magnetostimulation on primary neuronal outgrowth in vitro were quantified, showing that the combined action of in-plane + out-of-plane (IP + OOP) magnetic field application produced a directional outgrowth bias parallel to the IP field direction.
Posted Content
Discovery and implications of hidden atomic-scale structure in a metallic meteorite
András Kovács,Laura H. Lewis,Dhanalaksmi Palanisamy,Thibaud Denneulin,Alexander Schwedt,Edward Scott,Baptiste Gault,Baptiste Gault,Dierk Raabe,Rafal E. Dunin-Borkowski,Michalis Charilaou +10 more
TL;DR: In this paper, the existence of a previously hidden FeNi nanophase within the extremely slowly cooled metallic meteorite NWA 6259 has been revealed, along with Ni-poor and Ni-rich nanoprecipitates within a matrix of tetrataenite, the uniaxial, chemically ordered form of FeNi.
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Toward remote and secure authentication: Disambiguation of magnetic microwire signatures using neural networks
Akshar Varma,Xiaoyu Zhang,B.T. Lejeune,Laura Cebada Almagro,R. P. del Real,Pilar Marin,Ogheneyunume Fitchorova,Laura H. Lewis,Ravi Sundaram +8 more
TL;DR: In this paper , complex electromagnetic responses from arrangements of amorphous ferromagnetic microwires were analyzed using machine learning, and a neural network reproduced the response distribution of unseen data to a confidence level of 90%, with a mean square error less than 0.01.
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Aberration corrected STEM of iron rhodium nanoislands
Mathew McLaren,Fredrik S. Hage,M. Loving,Quentin M. Ramasse,Laura H. Lewis,Christopher H. Marrows,Rik Brydson +6 more
TL;DR: In this article, the authors used scanning transmission electron microscopy (STEM) electron energy loss spec-troscopy (EELS) and high angle annular dark field (HAADF) techniques to analyze the FeRh nanoislands of equiatomic composition.