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H.-S. Philip Wong
H.-S. Philip Wong
Professor of Electrical Engineering, Stanford University
Verified email at stanford.edu
Title
Cited by
Cited by
Year
Metal–oxide RRAM
HSP Wong, HY Lee, S Yu, YS Chen, Y Wu, PS Chen, B Lee, FT Chen, ...
Proceedings of the IEEE 100 (6), 1951-1970, 2012
24732012
Device scaling limits of Si MOSFETs and their application dependencies
DJ Frank, RH Dennard, E Nowak, PM Solomon, Y Taur, HSP Wong
Proceedings of the IEEE 89 (3), 259-288, 2001
18422001
Phase change memory
HSP Wong, S Raoux, SB Kim, J Liang, JP Reifenberg, B Rajendran, ...
Proceedings of the IEEE 98 (12), 2201-2227, 2010
18272010
Nanoelectronic programmable synapses based on phase change materials for brain-inspired computing
D Kuzum, RGD Jeyasingh, B Lee, HSP Wong
Nano letters 12 (5), 2179-2186, 2012
10762012
Carbon nanotube computer
MM Shulaker, G Hills, N Patil, H Wei, HY Chen, HSP Wong, S Mitra
Nature 501 (7468), 526-530, 2013
10422013
MoS2 transistors with 1-nanometer gate lengths
SB Desai, SR Madhvapathy, AB Sachid, JP Llinas, Q Wang, GH Ahn, ...
Science 354 (6308), 99-102, 2016
10342016
Synaptic electronics: materials, devices and applications
D Kuzum, S Yu, HSP Wong
Nanotechnology 24 (38), 382001, 2013
9992013
A compact SPICE model for carbon-nanotube field-effect transistors including nonidealities and its application—Part I: Model of the intrinsic channel region
J Deng, HSP Wong
IEEE Transactions on Electron Devices 54 (12), 3186-3194, 2007
9042007
In-memory computing with resistive switching devices
D Ielmini, HSP Wong
Nature electronics 1 (6), 333-343, 2018
8752018
Beyond the conventional transistor
HSP Wong
IBM Journal of Research and Development 46 (2.3), 133-168, 2002
7982002
A compact SPICE model for carbon-nanotube field-effect transistors including nonidealities and its application—Part II: Full device model and circuit performance benchmarking
J Deng, HSP Wong
IEEE Transactions on Electron Devices 54 (12), 3195-3205, 2007
7702007
An electronic synapse device based on metal oxide resistive switching memory for neuromorphic computation
S Yu, Y Wu, R Jeyasingh, D Kuzum, HSP Wong
IEEE Transactions on Electron Devices 58 (8), 2729-2737, 2011
6942011
Memory leads the way to better computing
HSP Wong, S Salahuddin
Nature nanotechnology 10 (3), 191-194, 2015
6732015
Nanoscale cmos
HSP Wong, DJ Frank, PM Solomon, CHJ Wann, JJ Welser
Proceedings of the IEEE 87 (4), 537-570, 1999
6601999
Graphene and two-dimensional materials for silicon technology
D Akinwande, C Huyghebaert, CH Wang, MI Serna, S Goossens, LJ Li, ...
Nature 573 (7775), 507-518, 2019
6122019
Face classification using electronic synapses
P Yao, H Wu, B Gao, SB Eryilmaz, X Huang, W Zhang, Q Zhang, N Deng, ...
Nature communications 8 (1), 1-8, 2017
6112017
The end of moore's law: A new beginning for information technology
TN Theis, HSP Wong
Computing in Science & Engineering 19 (2), 41-50, 2017
5542017
The end of CMOS scaling: toward the introduction of new materials and structural changes to improve MOSFET performance
T Skotnicki, JA Hutchby, TJ King, HSP Wong, F Boeuf
IEEE Circuits and Devices Magazine 21 (1), 16-26, 2005
4872005
Carbon nanotube and graphene device physics
HSP Wong, D Akinwande
Cambridge University Press, 2011
4752011
Three-dimensional integration of nanotechnologies for computing and data storage on a single chip
MM Shulaker, G Hills, RS Park, RT Howe, K Saraswat, HSP Wong, S Mitra
Nature 547 (7661), 74-78, 2017
4632017
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