210 citations · 1.1k across the 15 of their papers we have counts for
15 papers
Improved Gradual Resistive Switching Range and 1000x On/Off Ratio in HfOx RRAM Achieved with a Thermal Barrier
Raisul Islam, Shengjun Qin, Sanchit Deshmukh +7
Gradual switching between multiple resistance levels is desirable for analog in-memory computing using resistive random-access memory (RRAM). However, the filamentary switching of…
Statistical Analysis of Contacts to Synthetic Monolayer MoS2
Aravindh Kumar, Alvin Tang, H. -S. Philip Wong +1
Two-dimensional (2D) semiconductors are promising candidates for scaled transistors because they are immune to mobility degradation at the monolayer limit. However, sub-10 nm scali…
Scaling Theory of Two-Dimensional Field Effect Transistors
Saurabh V. Suryavanshi, Chris D. English, H. -S. P. Wong +1
We present a scaling theory of two-dimensional (2D) field effect transistors (FETs). For devices with channel thickness less than 4 nm, the device electrostatics is dominated by th…
Localized Triggering of the Insulator-Metal Transition in VO2 using a Single Carbon Nanotube
Stephanie M. Bohaichuk, Miguel Muñoz Rojo, Gregory Pitner +8
Vanadium dioxide (VO2) has been widely studied for its rich physics and potential applications, undergoing a prominent insulator-metal transition (IMT) near room temperature. The t…
Engineering Thermal and Electrical Interface Properties of Phase Change Memory with Monolayer MoS2
Christopher M. Neumann, Kye L. Okabe, Eilam Yalon +3
Phase change memory (PCM) is an emerging data storage technology, however its programming is thermal in nature and typically not energy-efficient. Here we reduce the switching powe…
Hyperdimensional Computing Nanosystem
Abbas Rahimi, Tony F. Wu, Haitong Li +4
One viable solution for continuous reduction in energy-per-operation is to rethink functionality to cope with uncertainty by adopting computational approaches that are inherently r…
High Current Density and Low Thermal Conductivity of Atomically Thin Semimetallic WTe2
Michal J. Mleczko, Runjie, Xu +6
Two-dimensional (2D) semimetals beyond graphene have been relatively unexplored in the atomically-thin limit. Here we introduce a facile growth mechanism for semimetallic WTe2 crys…
Picosecond electric-field-induced threshold switching in phase-change materials
Peter Zalden, Michael J. Shu, Frank Chen +16
Many chalcogenide glasses undergo a breakdown in electronic resistance above a critical field strength. Known as threshold switching, this mechanism enables field-induced crystalli…
Device and System Level Design Considerations for Analog-Non-Volatile-Memory Based Neuromorphic Architectures
Sukru Burc Eryilmaz, Duygu Kuzum, Shimeng Yu +1
This paper gives an overview of recent progress in the brain inspired computing field with a focus on implementation using emerging memories as electronic synapses. Design consider…
Rapid Co-optimization of Processing and Circuit Design to Overcome Carbon Nanotube Variations
Gage Hills, Jie Zhang, Max Marcel Shulaker +5
Carbon nanotube field-effect transistors (CNFETs) are promising candidates for building energy-efficient digital systems at highly-scaled technology nodes. However, carbon nanotube…
TPAD: Hardware Trojan Prevention and Detection for Trusted Integrated Circuits
Tony F. Wu, Karthik Ganesan, Yunqing Alexander Hu +3
There are increasing concerns about possible malicious modifications of integrated circuits (ICs) used in critical applications. Such attacks are often referred to as hardware Troj…
A Compact Virtual-Source Model for Carbon Nanotube Field-Effect Transistors in the Sub-10-nm Regime - Part II Extrinsic Elements, Performance Assessment, and Design Optimization
Chi-Shuen Lee, Eric Pop, Aaron D. Franklin +2
We present a data-calibrated compact model of carbon nanotube (CNT) field-effect transistors (CNFETs) including contact resistance, direct source-to-drain and band-to-band tunnelin…
Metal Oxide Resistive Memory using Graphene Edge Electrode
Seunghyun Lee, Joon Sohn, Zizhen Jiang +2
The emerging paradigm of abundant-data computing requires real-time analytics on enormous quantities of data collected by a mushrooming network of sensors. Todays computing technol…
Brain-like associative learning using a nanoscale non-volatile phase change synaptic device array
Sukru Burc Eryilmaz, Duygu Kuzum, Rakesh Jeyasingh +4
Recent advances in neuroscience together with nanoscale electronic device technology have resulted in huge interests in realizing brain-like computing hardwares using emerging nano…
Experimental Demonstration of Array-level Learning with Phase Change Synaptic Devices
S. Burc Eryilmaz, Duygu Kuzum, Rakesh G. D. Jeyasingh +4
The computational performance of the biological brain has long attracted significant interest and has led to inspirations in operating principles, algorithms, and architectures for…