New Developments for Circuit Design: Synthesis, Modeling, Simulation, and Applications

Topic Information

Dear Colleagues,

This Topic will present New Developments for Circuit Design: Synthesis, Modeling, Simulation, and Applications. These developments include modeling, simulation, and synthesis for Analog, Mixed-signal, RF (AMS/RF), and multi-domain (nanoelectronics, biological, MEMS, optoelectronics, etc.) integrated circuits and systems, as well as, emerging technologies and applications. Open-source tools and methods for IC design and experiences with modeling, simulation, and synthesis techniques in diverse application areas are also welcomed. Objective technologies include CMOS, beyond CMOS, and More-than-Moore such as MEMs, power devices, sensors, passives, etc.

This topic seeks to publish original reviews, original articles or communications. We encourage submissions of manuscripts focusing on, but not limited to, current research, novel concepts, technologies and approaches in basic and advanced aspects of Circuit Design.

1. CAD and EDA methodologies and tools for AMS systems (CAD/EDA)

Synthesis, Sizing and Optimization

• Multi-level Synthesis Methods
• Physical Synthesis Methods
• High-frequency Circuits and Systems Design
• Low-Power and Energy-Aware Design
• Parasitic-Aware Design
• Variability-aware & Reliability-Aware Design
• Sizing and Optimization Methods
• Procedural Design Methods

Modeling

• Performance Modeling
• Power and Electro-thermal Modeling
• Reliability and Variability Modeling
• RF/microwave/mm-wave Modeling
• Model Order Reduction
• Modeling for Signal Integrity / Power Integrity
• Electromagnetic Compatibility and Signal Integrity
• Electromagnetic Theory and Modeling
• Transmission Line Theory and Modeling
• Automated Model Generation

Simulation, Verification and Test

• Behavioral Simulation
• Numerical and Symbolic Simulation Methods
• RF Circuit Simulation Methods
• Multilevel Simulation Techniques
• Analysis of Variability Effects
• Simulation for Signal Integrity/Power Integrity
• Formal and Functional Verification
• Functional Safety
• Test and Design-for-Test Techniques

2. Emerging technologies and applications (ETA)

CAD for/using Emerging Technologies

• CAD for Bio-Electronic Devices, Bio-Sensors
• CAD for Multi-Domain Devices and Circuits
• CAD for Nanophotonics and Optical Devices / Interconnects
• CAD using AI and ML Algorithms
• CAD using Cloud Computing
• AMS CAS Soft and Hard IP Blocks Generating Methodologies

Emerging Devices and Paradigms

• Emerging Device Modeling (Steep-Slope, TFET, NCFET, PTM, Memristor)
• Design Strategies using Emerging Devices
• Emerging Devices in Security
• Devices, Hardware and Methods for Bio-Inspired and Neuromorphic Computing

Hardware Security

• Hardware Security primitives (PUFs, RNGs, ...)
• Attacks and Countermeasures
• Anticounterfeiting
• Methods, Architectures and Tools for Secure Design

3. AMS ICs and multi-domain design applications (DES)

Design Applications

• Internet of Everything
• Automotive Systems
• Biomedical and Bio-inspired CAS
• Low-Power Low Voltage CAS
• Sensors and Sensing Systems
• Security Systems
• Aerospace Systems
• Renewable Energy Systems

Dr. Nestor Evmorfopoulos
Prof. Dr. Alkiviadis Hatzopoulos
Prof. Dr. George I. Stamoulis
Topic Editors

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
Automation automation	-	2.9	2020	20.6 Days	CHF 1000	Submit
Electronics electronics	2.6	5.3	2012	16.8 Days	CHF 2400	Submit
Eng eng	-	2.1	2020	28.3 Days	CHF 1200	Submit
Hardware hardware	-	-	2023	15.0 days *	CHF 1000	Submit
Micromachines micromachines	3.0	5.2	2010	17.7 Days	CHF 2600	Submit
Signals signals	-	3.2	2020	26.1 Days	CHF 1000	Submit

* Median value for all MDPI journals in the first half of 2024.

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Published Papers (2 papers)

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All Automation Electronics Eng Hardware Micromachines Signals

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23 pages, 29672 KiB  

Open AccessArticle

Improved Implementation of Chua’s Circuit on an Active Inductor and Non-Autonomous System

by Ziqi Zhang, Yiming Wen, Yafei Ning, Zirui Zhang, Hu Li and Yuhan Xia

Electronics 2024, 13(13), 2637; https://doi.org/10.3390/electronics13132637 - 4 Jul 2024

Viewed by 314

Abstract

Chua’s circuit is a well-established model for studying chaotic phenomena and is extensively implemented in fields like encrypted communication. However, a traditional Chua’s circuit has large volume, high component precision requirements and limited adjustable parameter range, which are not conducive to application. In [...] Read more.

Chua’s circuit is a well-established model for studying chaotic phenomena and is extensively implemented in fields like encrypted communication. However, a traditional Chua’s circuit has large volume, high component precision requirements and limited adjustable parameter range, which are not conducive to application. In order to solve these problems, we propose an improved implementation of Chua’s circuit on an active inductor and non-autonomous system. First, we adopt the strategy of using active inductors instead of traditional passive inductors, achieving the miniaturization of the circuit and improving the accuracy of inductance. In addition, we present the theory of substituting non-autonomous systems for classical autonomous systems to reduce the requirements for the accuracy of components and improve the robustness of the circuit. Lastly, we connect the extension resistor in parallel with Chua’s diode to optimize circuit structure, thereby increasing the range of the adjustable parameter. Based on the three improvements above, experiments have shown that the average maximum error tolerance of components of our improved design has been increased from 1.88% to 7.38% when generating a single vortex, and from 4.73% to 12.61% when generating a double vortex, compared with the traditional Chua’s circuit. The range of the adjustable parameter has been increased by 195.83% and 36.98%, respectively, when generating a single vortex and double vortex. In summary, our improved circuit is more practical than the traditional Chua’s circuit and has good application value. Full article

(This article belongs to the Topic New Developments for Circuit Design: Synthesis, Modeling, Simulation, and Applications)

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13 pages, 2910 KiB  

Open AccessArticle

Deterministic Multi-Objective Optimization of Analog Circuits

by Zihan Xu, Zhenxin Zhao and Jun Liu

Electronics 2024, 13(13), 2510; https://doi.org/10.3390/electronics13132510 - 26 Jun 2024

Viewed by 732

Abstract

Stochastic optimization approaches benefit from random variance to produce a solution in a reasonable time frame that is good enough for solving the problem. Compared with them, deterministic optimization methods feature faster convergence rates and better reproducibility but may get stuck at a [...] Read more.

Stochastic optimization approaches benefit from random variance to produce a solution in a reasonable time frame that is good enough for solving the problem. Compared with them, deterministic optimization methods feature faster convergence rates and better reproducibility but may get stuck at a local optimum that is insufficient to solve the problem. In this paper, we propose a group-based deterministic optimization method, which can efficiently achieve comparable performance to heuristic optimization algorithms, such as particle swarm optimization. Moreover, the weighted sum method (WSM) is employed to further improve our deterministic optimization method to be multi-objective optimization, making it able to seek a balance among multiple conflicting circuit performance metrics. With a case study of three common analog circuits tested for our optimization methodology, the experimental results demonstrate that our proposed method can more efficiently reach a better estimation of the Pareto front compared to NSGA-II, a well-known multi-objective optimization approach. Full article

(This article belongs to the Topic New Developments for Circuit Design: Synthesis, Modeling, Simulation, and Applications)

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