Hybrid signal integrity modeling and analysis of heterogeneous integrated system with neuromorphic Darwin chip
This article introduces a comprehensive approach for designing and analyzing signal
integrity in heterogeneous integrated systems that incorporate neuromorphic Darwin chips …
integrity in heterogeneous integrated systems that incorporate neuromorphic Darwin chips …
A Novel Physics-Assisted Genetic Algorithm for Decoupling Capacitor Optimization
This article proposes a new physics-assisted genetic algorithm (PAGA) for decoupling
capacitor (decap) optimization in power distribution networks (PDNs), which is a highly …
capacitor (decap) optimization in power distribution networks (PDNs), which is a highly …
Deep Neural Network-Based Surrogate-Assisted Inverse Optimization for High-Speed Interconnects
Deep neural networks (DNNs) have been broadly adopted in efficiently modeling and
optimizing the signal integrity of high-speed interconnects. However, using DNNs could …
optimizing the signal integrity of high-speed interconnects. However, using DNNs could …
An Efficient PEEC-Based Method for Full-Wave Analysis of Microstrip Structures
This article introduces an efficient method for the equivalent circuit characterization and full-
wave analysis of microstrip structures, leveraging the full-wave partial element equivalent …
wave analysis of microstrip structures, leveraging the full-wave partial element equivalent …
A Trifunctional Active Frequency Selective Surface for 6G Shielding Applications
The advent of 6G wireless networks necessitates a synergistic design approach for sensing,
communication, and protection, highlighting the capability of systems to function in transition …
communication, and protection, highlighting the capability of systems to function in transition …
A Novel Deep Reinforcement Learning Methodology for EMI Mitigation in Multi-Scenario Pinmap Design
Intelligent pin assignment (pinmap) of ball grid array packages for electromagnetic
interference mitigation is becoming a new trend. A high-performance design methodology …
interference mitigation is becoming a new trend. A high-performance design methodology …
S‐parameter extraction for electromagnetic modelling of memristor‐based crossbar array circuits
This article presents an efficient S‐parameter extraction method for memristor‐based
crossbar array circuits. The proposed approach involves converting the array into an …
crossbar array circuits. The proposed approach involves converting the array into an …
Latency Insertion Method for Accelerated Simulation of Memristor Crossbar Array in Neuromorphic Chip
Neuromorphic chips constructed by memristor crossbar array have been introduced to
realize in-memory computation. The simulations are usually conducted by full-wave …
realize in-memory computation. The simulations are usually conducted by full-wave …
A Novel Physics-Assisted Genetic Algorithm (PAGA) for Decoupling Capacitor Optimization
This article proposes a new physics-assisted genetic algorithm (PAGA) for decoupling
capacitor (decap) optimization in power distribution networks (PDNs), which is, by far, the …
capacitor (decap) optimization in power distribution networks (PDNs), which is, by far, the …
A Novel Reconfigurable Metasurface with Expanded Tuning Range for Electromagnetic Interference Shielding
This paper introduces a novel reconfigurable metasurface with an expanded tuning range,
which addresses the limitations of conventional band-stop structures. A unique method that …
which addresses the limitations of conventional band-stop structures. A unique method that …