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Snubber and Metal Oxide Varistor Optimization Design of Modular IGCT Switch for Overvoltage Suppression in Hybrid DC Circuit Breaker

IEEE Journal of Emerging and Selected Topics in Power Electronics, 2021
The power electronic switches have great influences on the performance of the hybrid dc circuit breaker (DCCB). Recently, the integrated gate commutated thyristor (IGCT) is considered to be a suitable alternative full-control power device due to its high
Q. Yi   +6 more
semanticscholar   +1 more source

CMOS Characterization and Compact Modelling for Circuit Reliability Simulation

IEEE International Symposium on On-Line Testing and Robust System Design, 2018
With nowadays nanometer-CMOS technologies, time-zero and time dependent variability effects (like BTI, CHI, RTN, TDDB, EM, etc) have turned into an even more serious threat to the desired performance of analog and digital integrated circuits. Statistical
Javier Diaz-Fortuny   +6 more
semanticscholar   +1 more source

Nonlinear control of a hybrid pneumo‐hydraulic mock circuit of the cardiovascular system

International Journal of Robust and Nonlinear Control
Hybrid cardiovascular mock circuits (HMC), designed for dynamic testing of Ventricular Assist Devices (VAD), offer physiologic accuracy by sequestering model complexity in silico and ease of construction by reducing number of model elements in vitro ...
Ahmed Alhajyounis   +8 more
semanticscholar   +1 more source

Automated Testing and Deployment Strategies for Quantum Algorithms

International Conferences on Contemporary Computing and Informatics
The advent of quantum computing has ushered in a new era of technological innovation, promising unprecedented computational power and efficiency. As quantum technology matures, the need for robust, scalable, and efficient software development practices ...
M. Saxena   +2 more
semanticscholar   +1 more source

Design of a Current Mode Multiplexed Circuit for Integrate & Fire Neuromorphic Systems

IEEE Nordic Circuits and Systems Conference, 2020
The design of a multi-chip architecture can be an effective solution to implement very large Artificial Neural Networks systems. Undoubtedly, the size of these systems often represents an arduous obstacle in the way of a deep and effective investigation ...
V. Bonaiuto, F. Sargeni
semanticscholar   +1 more source

RRAM-Based Analogue Artificial Neuron for Gaussian Activation Function Edge Classifier

International Symposium on Circuits and Systems
The computational bottlenecks encountered for memory access and data transfer in modern computing systems, especially for edge computing, require innovations both at device level and architectural level.
G. Papandroulidakis   +2 more
semanticscholar   +1 more source

Modeling of Thermal Coupling and Temperature Sensor Circuit Design Considerations for Hardware Trojan Detection

Midwest Symposium on Circuits and Systems, 2018
This paper describes the development of a model for the simulation of electrothermal coupling to detect malicious circuits with on-chip temperature sensors.
Mengting Yan, Haoran Wei, M. Onabajo
semanticscholar   +1 more source

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs

2025 IEEE/ACM International Conference On Computer Aided Design (ICCAD)
The emergence of multimodal large language models (MLLMs) presents promising opportunities for automation and enhancement in Electronic Design Automation (EDA). However, comprehensively evaluating these models in circuit design remains challenging due to
Chenchen Zhao   +21 more
semanticscholar   +1 more source

Decoupling Analog Circuit Representation from Technology for Behavior-Centric Optimization

Design Automation Conference
Analog IC design is mainly manual and implemented at the device level. A major reason is circuit behavior-extraction. Unlike its digital counterpart, analog IC design is strongly coupled with technology nodes and is difficult to represent by an abstract ...
Jintao Li   +4 more
semanticscholar   +1 more source

AnaCraft: Duel-Play Probabilistic-Model-Based Reinforcement Learning for Sample-Efficient PVT-Robust Analog Circuit Sizing Optimization

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Recent advancements in machine learning offer the potential for finding faster and robust optimization approaches for analog circuit design automation. However, fully automated yet fast and process, voltage, and temperature (PVT)-robust sizing algorithms
Mohsen Ahmadzadeh   +3 more
semanticscholar   +1 more source

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