M
Martin A. Brooke
Researcher at Duke University
Publications - 188
Citations - 2363
Martin A. Brooke is an academic researcher from Duke University. The author has contributed to research in topics: CMOS & Electronic circuit. The author has an hindex of 25, co-authored 188 publications receiving 2321 citations. Previous affiliations of Martin A. Brooke include Georgia Tech Research Institute & Georgia Institute of Technology.
Papers
More filters
Patent
Processes for lift-off of thin film materials or devices for fabricating three dimensional integrated circuits, optical detectors, and micromechanical devices
TL;DR: In this article, various lift-off and bonding processes (60, 80, 100) were proposed for thin-film materials and devices, including Inx Ga1-x Asy P1-y where 01, and 0
Patent
Processes for lift-off of thin film materials and for the fabrication of three dimensional integrated circuits
TL;DR: In this paper, three-dimensional communication in an integrated circuit can be implemented via electromagnetic communication between emitters and detectors fabricated via the novel processes, and arrays of optical detectors can also be implemented to perform image processing with tremendous speed.
Journal ArticleDOI
A floating-gate MOSFET with tunneling injector fabricated using a standard double-polysilicon CMOS process
A. Thomsen,Martin A. Brooke +1 more
TL;DR: A floating-gate MOSFET with Fowler-Nordheim tunneling is described in this article, which is programmable in both directions by FN tunneling and is fabricated using an inexpensive standard 2- mu m double-polysilicon CMOS technology.
Journal ArticleDOI
The heterogeneous integration of optical interconnections into integrated microsystems
Nan Marie Jokerst,Martin A. Brooke,Sang-Yeon Cho,S.T. Wilkinson,M. Vrazel,S. Fike,J. Tabler,Yoong Joon Joo,Sang-Woo Seo,D.S. Wills,April S. Brown +10 more
TL;DR: In this article, a variety of optical interconnections integrated into micro-systems using thin-film heterogeneous integration is described, where the topography of the integrated micro system can remain flat to within a few microns, substrates which are often optically absorbing are removed, both sides of the thin film devices can be processed, and three-dimensionalally stacked structures can be implemented.
Proceedings ArticleDOI
Identification and control of induction motor stator currents using fast on-line random training of a neural network
TL;DR: This paper proposes and evaluates a new, fast, on-line training algorithm which is based on the method of random search training, termed the random weight change (RWC) algorithm, and proposes a VLSI implementation which one training cycle in as little as 8 /spl mu/sec.