E
Edmund R. Nowak
Researcher at University of Delaware
Publications - 68
Citations - 2163
Edmund R. Nowak is an academic researcher from University of Delaware. The author has contributed to research in topics: Magnetoresistance & Noise (electronics). The author has an hindex of 23, co-authored 67 publications receiving 2027 citations. Previous affiliations of Edmund R. Nowak include GlobalFoundries & University of Minnesota.
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Density fluctuations in vibrated granular materials
TL;DR: In this paper, the density of a vibrated granular material was measured as a function of time and the frequency dependence and amplitude of these fluctuations were investigated as the function of vibration intensity.
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Reversibility and irreversibility in the packing of vibrated granular material
TL;DR: In this article, the authors investigated the settling of loosely packed, cohesionless granular material under mechanical vibrations and showed how the occupied volume fraction can be optimized by slowly reducing the vibration intensity along the reversible branch.
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Low-frequency magnetic and resistance noise in magnetic tunnel junctions
TL;DR: In this paper, the authors studied the voltage fluctuations of current-biased, micron-scale magnetic tunnel junctions and found that the spectral power density is $1/f$-like at low frequencies and becomes frequency independent at high frequencies.
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Electrical noise in hysteretic ferromagnet–insulator–ferromagnet tunnel junctions
TL;DR: In this paper, low frequency noise has been measured in magnetic tunnel junctions that have Al2O3 tunnel barriers and magnetoresistance values up to 35% at 295 K. This noise is attributed to trapping processes and it depends sensitively on the relative position of the oxide edge and the ferromagnet-Al interface.
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Critical challenges for picoTesla magnetic-tunnel-junction sensors ☆
W. F. Egelhoff,Philip W. T. Pong,John Unguris,Robert D. McMichael,Edmund R. Nowak,Alan S. Edelstein,J. E. Burnette,G. A. Fischer +7 more
TL;DR: In this article, the necessary elements for picoTesla magnetic-tunnel-junction (MTJ) sensors have been identified by modeling the noise characteristics, and the results help identify the experimental challenges involved in the integration of these necessary elements into actual sensors, illustrate the trade-offs faced if there are losses in performance upon integration, and provide insights into problems and possible solutions.