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Ferroelectric and Negative Capacitance Devices

Ferroelectric and Negative Capacitance Devices

103 faculty research Ferroelectric and Negative Capacitance Devices on GradNova.

Y
Advanced Memory and Neural Computing
Advanced Neural Network Applications
Adversarial Robustness in Machine Learning
Ferroelectric and Negative Capacitance Devices
+1
U
Advanced Memory and Neural Computing
Ferroelectric and Negative Capacitance Devices
Low-Power High-Performance VLSI Design
Parallel Computing and Optimization Techniques
+1
Q
Advanced Memory and Neural Computing
Ccd and CMOS Imaging Sensors
Ferroelectric and Negative Capacitance Devices
Low-Power High-Performance VLSI Design
+1
A
Advanced Memory and Neural Computing
Advanced Neural Network Applications
Adversarial Robustness in Machine Learning
Ferroelectric and Negative Capacitance Devices
+1
P
Analog and Mixed-Signal Circuit Design
Ferroelectric and Negative Capacitance Devices
Radio Frequency Integrated Circuit Design
A
Advanced Memory and Neural Computing
Advancements in Semiconductor Devices and Circuit Design
Ferroelectric and Negative Capacitance Devices
Low-Power High-Performance VLSI Design
+1
S
Advanced Data Storage Technologies
Advanced Memory and Neural Computing
Cloud Computing and Resource Management
Ferroelectric and Negative Capacitance Devices
+1
A
Advanced Memory and Neural Computing
Advanced Neural Network Applications
Advancements in Semiconductor Devices and Circuit Design
Ferroelectric and Negative Capacitance Devices
+1
A
Advanced Memory and Neural Computing
Advanced Neural Network Applications
Ccd and CMOS Imaging Sensors
Ferroelectric and Negative Capacitance Devices
+1
D
Deep Learning Accelerators Using In-Memory Computing Systems
Heterogeneous Manycore Systems
Reliability and Security of Deep Learning Accelerators
Advanced Memory and Neural Computing
+4
T
Design, Characterization, and Reliability
Multi-Functional Semiconductor Devices, (sensors, Logic, Actuators, Memory, Mems)
Semiconductor Materials and Devices
Advanced MEMS and NEMS Technologies
+3
R
Computer-Aided Design
Emerging Computing Paradigms
Machine Learning
VLSI Circuits
+5
V
Advanced Memory and Neural Computing
Analog and Mixed-Signal Circuit Design
Ferroelectric and Negative Capacitance Devices
Optical Network Technologies
+1
D
Emerging Electron Devices and Circuits
Neuromorphic Computing
Non-Volatile Memories
Solid-State Nanoionics
+5
D
Advanced Memory and Neural Computing
Ferroelectric and Negative Capacitance Devices
Neural Dynamics and Brain Function
Neuroscience and Neural Engineering
+1
T
Advanced Data Storage Technologies
Advanced Memory and Neural Computing
Ferroelectric and Negative Capacitance Devices
Neural Networks and Reservoir Computing
+1
S
Soheil Salehi

Assistant Professor, School of Electrical, Computing, and Software Engineering; Assistant Professor of Systems and Industrial Engineering; Director, Privacy-preserving, Intelligent, and Secure Computing (PRISM) Lab

School of Electrical, Computing, and Software Engineering

University of Arizona

Advanced Malware Detection Techniques
Advanced Memory and Neural Computing
Ferroelectric and Negative Capacitance Devices
Magnetic Properties of Thin Films
+1
X
Xiaodong Yan

Assistant Professor of Materials Science and Engineering Assistant Professor, School of Electrical, Computing, and Software Engineering

School of Electrical, Computing, and Software Engineering

University of Arizona

Advanced Memory and Neural Computing
Ferroelectric and Negative Capacitance Devices
Ga2o3 and Related Materials
GAN-Based Semiconductor Devices and Materials
+1
M
Applications De L'intelligence Artificielle Dans Différents Domaines (fluorométrie)
L'instrumentation Et Les Signaux Biomédicaux, Avec Les Applications Cliniques En Vue
Systèmes D'instrumentation Et De Communication En Général
Analog and Mixed-Signal Circuit Design
+2
C
Electrical Characterization Methodologies, Reliability Characterization Methodologies, Solid State Device Physics, Electrical Properties of Materials, Mos Modeling (quantum Effects, Etc.), Nanotechnology, Flexible Electronics, Future Energy Needs (renewable, Low Power Operation, Etc.)
Semiconductor Materials and Devices
Advancements in Semiconductor Devices and Circuit Design
Ferroelectric and Negative Capacitance Devices
+2
J
Beyond-CMOS Computing
Low-Dimensional Materials
Memristors
Neuromorphic Computing
+6
S
Brain-Inspired Neuromorphic Computing
Cryogenic and Quantum Computing
In-Memory Computing
Microscopic Understanding of Material and Device Physics to Building Novel Hardware Systems
+5
J
Jean Anne Incorvia

Associate Professor, Engineering Foundation Endowed Faculty Fellowship in Engineering

Department of Electrical and Computer Engineering

The University of Texas at Austin

Advanced Memory and Neural Computing
Ferroelectric and Negative Capacitance Devices
Magnetic Properties of Thin Films
Neural Networks and Applications
+1
D
2D Materials and Applications
Advanced Memory and Neural Computing
Ferroelectric and Negative Capacitance Devices
Graphene Research and Applications
+1
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