D. Rich
Stanford University
7 Papers
9 Citations
D. Rich is an academic researcher from Stanford University. The author has contributed to research in topics: Computer science & Telescope. The author has an hindex of 2, co-authored 3 publications.
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Papers
Foundry Monolithic 3D BEOL Transistor + Memory Stack: Iso-performance and Iso-footprint BEOL Carbon Nanotube FET+RRAM vs. FEOL Silicon FET+RRAM
Tathagata Srimani,Andrew C. Yu,Robert M. Radway,D. Rich,Mark Nelson,Simon Wong,D. Murphy,S. Fuller,Gage Hills,Subhasish Mitra,Max M. Shulaker +10 more
- 11 Jun 2023
TL;DR: This work shows, for the first time, a BEOL carbon nanotube FET (CNFET) + Resistive RAM (RRAM) stack through monolithic 3D (M3D) integration that achieves comparable performance in the same footprint as conventional RRAM stack using FEOL Si FET access transistors.
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Environmental tests of the flight GLAST LAT tracker towers
R. Bagagli,Luca Baldini,Ronaldo Bellazzini,Guido Barbiellini,Guido Barbiellini,F. Belli,T. Borden,Alessandro Brez,M. Brigida,M. Brigida,G. A. Caliandro,G. A. Caliandro,Claudia Cecchi,Claudia Cecchi,Johann Cohen-Tanugi,A. De Angelis,A. De Angelis,Persis S. Drell,C. Favuzzi,C. Favuzzi,P. Fusco,P. Fusco,F. Gargano,S. Germani,Nicola Giglietto,Nicola Giglietto,Francesco Giordano,Francesco Giordano,Joseph W. Goodman,T. Himel,M. Hirayama,M. Hirayama,R. P. Johnson,Hideaki Katagiri,Jun Kataoka,N. Kawai,W. Kroeger,J. Ku,M. Kuss,Luca Latronico,Francesco Longo,Francesco Longo,F. Loparco,F. Loparco,P. Lubrano,B. Marangelli,B. Marangelli,F. Marcucci,F. Marcucci,M. Marchetti,Marco Maria Massai,Marco Maria Massai,M. N. Mazziotta,M. Minori,Massimo Minuti,N. Mirizzi,N. Mirizzi,M. Mongelli,C. Monte,C. Monte,A. Morselli,D. Nelson,M. Nordby,Nicola Omodei,M. Pepe,Melissa Pesce-Rollins,S. Rainò,S. Rainò,Riccardo Rando,Riccardo Rando,M. Razzano,M. Razzano,D. Rich,G. Scolieri,Carmelo Sgrò,Carmelo Sgrò,Gloria Spandre,P. Spinelli,P. Spinelli,M. Sugizaki,Hiromitsu Takahashi,A. Tenze,C. C. Young +82 more
TL;DR: In this article, the authors describe the sequence and results of the environmental tests performed on an engineering model and all the flight hardware of the Gamma-ray Large Area Space telescope (GLAST LAT Tracker).
Construction, test and calibration of the GLAST silicon tracker
Carmelo Sgrò,Carmelo Sgrò,W. B. Atwood,Luca Baldini,Guido Barbiellini,Ronaldo Bellazzini,F. Belli,Emanuele Bonamente,T. Borden,J. Bregeon,Alessandro Brez,M. Brigida,G.A. Caliandro,C. Cecchi,Johann Cohen-Tanugi,A. De Angelis,A. De Angelis,Persis S. Drell,C. Favuzzi,Yasushi Fukazawa,P. Fusco,F. Gargano,S. Germani,Nicola Giglietto,Francesco Giordano,T. Himel,M. Hirayama,M. Hirayama,R. P. Johnson,Hideaki Katagiri,Jun Kataoka,N. Kawai,W. Kroeger,M. Kuss,Luca Latronico,Francesco Longo,F. Loparco,P. Lubrano,M.M. Massai,M. N. Mazziotta,Massimo Minuti,Tsunefumi Mizuno,A. Morselli,D. Nelson,M. Nordby,T. Ohsugi,Nicola Omodei,M. Ozaki,M. Pepe,S. Rainò,Robert R. Rando,M. Razzano,D. Rich,Hartmut Sadrozinski,G. Scolieri,Gloria Spandre,P. Spinelli,M. Sugizaki,H. Tajima,Hiromitsu Takahashi,Tadayuki Takahashi,S. Yoshida,C. C. Young,M. Ziegler +63 more
TL;DR: The Gamma-ray Large Area Space Telescope (GLAST) is the largest silicon tracker ever built for a space experiment with a surface of 80 m 2 and about 1 m 2 readout channels as discussed by the authors.
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Ultra-Dense 3D Physical Design Unlocks New Architectural Design Points with Large Benefits
Tathagata Srimani,Robert M. Radway,Jin-woo Kim,Kartik Prabhu,D. Rich,Carlo Gilardi,Priyanka Raina,Max M. Shulaker,Sung Kyu Lim,Subhasish Mitra +9 more
- 01 Apr 2023
TL;DR: In this paper , the authors focus on iso-on-chip memory capacity and iso-footprint energy-delay-product (EDP) benefits of ultra-dense 3D architectures.
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N3XT 3D Technology Foundations and Their Lab-to-Fab: Omni 3D Logic, Logic+Memory Ultra-Dense 3D, 3D Thermal Scaffolding
T. Srimani,A. Bechdolt,S. Choi,Carlo Gilardi,A. Kasperovich,S. Li,Qimghuamg Lin,M. Malakoutian,P. McEwen,Robert M. Radway,D. Rich,A.C. Yu,S. Fuller,S. Achour,S. Chowdhury,H.-S. P. Wong,M. Shulaker,S. Mitra +17 more
- 09 Dec 2023
TL;DR: N3XT 3D is a disruptive computing systems technology offering high energy efficiency and performance for large-scale data applications.
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