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Frontiers in Neuroscience|March 17, 2020
Algorithm for Training Neural Networks on Resistive Device ArraysTayfun Gokmen, Wilfried HaenschFrontiers in Neuroscience|October 26, 2017
Training Deep Convolutional Neural Networks with Resistive Cross-Point DevicesTayfun Gokmen, Murat Onen, Wilfried HaenschFrontiers in Neuroscience|November 9, 2018
Training LSTM Networks With Resistive Cross-Point DevicesTayfun Gokmen, Malte J Rasch, Wilfried HaenschNano Letters|December 22, 2010
Large-scale graphene transistors with enhanced performance and reliability based on interface engineering by phenylsilane self-assembled monolayersZihong Liu, Ageeth A Bol, Wilfried HaenschProceedings of the National Academy of Sciences of the United States of America|August 29, 2002
Friction traced to the single atomFranz J Giessibl, Markus Herz, Jochen MannhartScience (New York, N.Y.)|June 12, 2004
Force microscopy with light-atom probesStefan Hembacher, Franz J Giessibl, Jochen MannhartACS Nano|July 8, 2014
Defining and overcoming the contact resistance challenge in scaled carbon nanotube transistorsAaron D Franklin, Damon B Farmer, Wilfried HaenschFrontiers in Artificial Intelligence|October 21, 2024
LRMP: Layer Replication with Mixed Precision for spatial in-memory DNN acceleratorsAbinand Nallathambi, Christin David Bose, Wilfried Haensch, et al.Science (New York, N.Y.)|February 21, 2009
Oxide nanoelectronics on demandCheng Cen, Stefan Thiel, Jochen Mannhart, et al.Frontiers in Neuroscience|August 17, 2019
RAPA-ConvNets: Modified Convolutional Networks for Accelerated Training on Architectures With Analog ArraysMalte J Rasch, Tayfun Gokmen, Mattia Rigotti, et al.Pageof 5