M. Lonsky and A. Hoffmann,
Journal of Applied Physics 132, 043903 (2022).
Author: Axel Hoffmann
Quantum materials for energy-efficient neuromorphic computing: Opportunities and challenges
A. Hoffmann, S. Ramanathan, J. Grollier, A. D. Kent, M. J. Rozenberg, I. K. Schuller, O. G. Shpyrko, R. C. Dynes, Y. Fainman, A. Frano, E. E. Fullerton, G. Galli, V. Lomakin, S. P. Ong, A. K. Petford-Long, J. A. Schuller, M. D. Stiles, Y. Takamura, and Y. Zhu,
APL Materials 10, 070904 (2022).
Unidirectional Magnetoresistance in Antiferromagnet/Heavy-Metal Bilayers
S. Shim, M. Mehraeen, J. Sklenar, J. Oh, J. Gibbons, H. Saglam, A. Hoffmann, S. S. L. Zhang, and N. Mason,
Physical Review X 12, 021069 (2022).
Multiple magnetic droplet solitons from exotic spin-orbit torques
R. Klause and A. Hoffmann,
Applied Physics Letters 120, 242407 (2022).
Structural and magnetic properties of Pt/Co/Mn-based multilayer
M Lonsky, M.-W. Yoo, Y.-S. Huang, J. Qian, J.-M. Zuo, and A. Hoffmann,
Physical Review Materials 6, 054413 (2022).
Neuromorphic computing: Challenges from quantum materials to emergent connectivity
I. K. Schuller, A. Frano, R. C. Dynes, A. Hoffmann, B. Noheda, C. Schuman, A. Sebastian, and J. Shen,
Applied Physics Letters 120, 140401 (2022).
Antiferromagnets for Spintronics
A. Hoffmann and W. Zhang,
Journal of Magnetism and Magnetic Materials 553, 169216 (2022).
Spin dynamics in permalloy nano-ellipses for honeycomb and square lattices
W. Bang, M. T. Kaffash, M. T. Hossain, A. Hoffmann, J. B. Ketterson, and M. B. Jungfleisch,
AIP Advances 12, 035131 (2022).
Axel Hoffmann selected as 2021 Highly Cited Researcher
The Web of Science has selected Axel Hoffmann as a Highly Cited Researcher in 2021, which is the third year in a row. The list recognizes leading researchers in the sciences and social sciences from around the world. It is based on an analysis of journal article publication and citation data, an objective measure of a researcher’s influence, from 2010-2020. More details can be found in the Illinois News Feed.
Dreycen Foiles receives DIGI-MAT Fellowship
Dreycen Foiles was awarded a DIGI-MAT Fellowship. The DIGI-MAT program aims at educating graduate students in combining materials and data science. As part of this fellowship Dreycen Foiles will investigate the use of magnetic skyrmions for more energy efficient novel computation approaches, while concurrently using machine learning techniques for developing new characterization methods for magnetic materials.