Publications

This is our catalog of recent publications authored by IBM researchers, in collaboration with the global research community. We’re currently adding our back catalog of more than 110,000 publications. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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Year

Filamentary Statistical Evolution from Nano-Conducting Path to Switching-Filament for Oxide-RRAM in Memory Applications
- - Ernest Wu
  - Takashi Ando
  - et al.
- 2019
- IEDM 2019
Ultra-scaled Conformal Scavenging Electrode with Superior Tunability for Short-channel RMG FinFET Workfunction and all-ALD 3D-compatible ReRAM
- - John Rozen
  - K. Suu
  - et al.
- 2019
- IEDM 2019
Metal-oxide based, CMOS-compatible ECRAM for Deep Learning Accelerator
- - S. Kim
  - John A. Ott
  - et al.
- 2019
- IEDM 2019
III-V-on-CMOS Devices and Circuits: Opportunities in Quantum Infrastructure
- - C. B. Zota
  - Thomas Morf
  - et al.
- 2019
- IEDM 2019
A Novel Dry Selective Etch of SiGe for the Enablement of High Performance Logic Stacked Gate-All-Around NanoSheet Devices
- - N. Loubet
  - T. Devarajan
  - et al.
- 2019
- IEDM 2019
On-Chip Trainable 1.4M 6T2R PCM Synaptic Array with 1.6K Stochastic LIF Neurons for Spiking RBM
- - M. Ishii
  - U. Shin
  - et al.
- 2019
- IEDM 2019
Weyl Semi-Metal-Based High-Frequency Amplifiers
- - A. Toniato
  - Bernd Gotsmann
  - et al.
- 2019
- IEDM 2019
Multiple-Vt Solutions in Nanosheet Technology for High Performance and Low Power Applications
- - Ruqiang Bao
  - Reinaldo A. Vega
  - et al.
- 2019
- IEDM 2019
The marriage of training and inference for scaled deep learning analog hardware
- - Tayfun Gokmen
  - Malte J. Rasch
  - et al.
- 2019
- IEDM 2019
Reducing the Impact of Phase-Change Memory Conductance Drift on the Inference of large-scale Hardware Neural Networks
- - Stefano Ambrogio
  - M. Gallot
  - et al.
- 2019
- IEDM 2019