Cover Image

iVAMS 3.0: Hierarchical-Machine-Learning-Metamodel-Integrated Intelligent Verilog-AMS for Ultra-Fast, Accurate Mixed-Signal Design Optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mohanty, Saraju P., Kougianos, Elias
Format:	Preprint
Published:	2025
Subjects:	Emerging Technologies
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Everything You Wanted to Know About Consumer Light Management in Smart Energy
by: Mohanty, Prajnyajit, et al.
Published: (2024)

Enabling data-driven and bidirectional model development in Verilog-A for photonic devices
by: Azhigulov, Dias, et al.
Published: (2024)

Generalizable Verilog Modeling Framework for Synchronous and Asynchronous Superconducting Pulse-Based Logic Gates
by: Feng, Elisabeth, et al.
Published: (2026)

Mixed-Signal Quantum Circuit Design for Option Pricing Using Design Compiler
by: Kao, Yu-Ting, et al.
Published: (2025)

BIFROST: Reinventing WiFi Signals Based on Dispersion Effect for Accurate Indoor Localization
by: Sun, Yimiao, et al.
Published: (2025)

Toward Intelligent Electronic-Photonic Design Automation for Large-Scale Photonic Integrated Circuits: from Device Inverse Design to Physical Layout Generation
by: Zhou, Hongjian, et al.
Published: (2025)

LiDAR 2.0: Hierarchical Curvy Waveguide Detailed Routing for Large-Scale Photonic Integrated Circuits
by: Zhou, Hongjian, et al.
Published: (2025)

Integration of Physics-Derived Memristor Models with Machine Learning Frameworks
by: Yu, Zhenming, et al.
Published: (2024)

Nonlinear dynamics in neuromorphic photonic networks: physical simulation in Verilog-A
by: Morison, Hugh, et al.
Published: (2024)

End-to-End Physical Design Automation Flow for Yield-Optimized Inverse-Designed Large-Scale Electronic-Photonic Integrated Circuits
by: Zhou, Hongjian, et al.
Published: (2026)

Reverse Designing Ferroelectric Capacitors with Machine Learning-based Compact Modeling
by: Ferrer, Diego, et al.
Published: (2025)

Machine Intelligence on Wireless Edge Networks
by: Vadlamani, Sri Krishna, et al.
Published: (2025)

Closed-Form Formulas for Designing Ultra-Low Phase-Noise Cross-Coupled Dynamically Body-Biased Only-NMOS LCVCOs
by: Dizabadi, Naser Khatti, et al.
Published: (2026)

UAV's Rotor Micro-Doppler Feature Extraction Using Integrated Sensing and Communication Signal: Algorithm Design and Testbed Evaluation
by: Wei, Jiachen, et al.
Published: (2024)

Parallelizable Search-Space Decomposition for Large-Scale Combinatorial Optimization Problems Using Ising Machines
by: Kawase, Eiji, et al.
Published: (2026)

Modular Mechanism Design Optimization in Large-Scale Systems with Manufacturing Cost Considerations
by: Lee, Sumin, et al.
Published: (2025)

Bayesian Optimization of Crossbar-Based Compute-In-Memory System Design for Efficient DNN Inference
by: Saha, Arnob, et al.
Published: (2026)

An Intelligent Approach for Cloud Infrastructure With Improved Multi‐Objective Graywolf Optimization and Resource Allocation for Dynamic Virtual Machine Placement
by: S. Shankar, et al.
Published: (2025)

RIoT Digital Twin: Modeling, Deployment, and Optimization of Reconfigurable IoT System with Optical-Radio Wireless Integration
by: Abdellatif, Alaa Awad, et al.
Published: (2025)

Fast Iterative Configuration of Reconfigurable Intelligent Surfaces in mmWave Systems
by: Guglielmi, Anna V., et al.
Published: (2024)

Device-Algorithm Co-Design of Ferroelectric Compute-in-Memory In-Situ Annealer for Combinatorial Optimization Problems
by: Qian, Yu, et al.
Published: (2025)

FAMES: Fast Approximate Multiplier Substitution for Mixed-Precision Quantized DNNs--Down to 2 Bits!
by: Ren, Yi, et al.
Published: (2024)

QAMNet: Fast and Efficient Optical QAM Neural Networks
by: Bacvanski, Marc Gong, et al.
Published: (2024)

An Electronic Ising Machine
by: Bowring, Matt, et al.
Published: (2025)

Navigate in Demanding Missions: Integrating Human Intelligence and Brain-Inspired Intelligence
by: He, Xu, et al.
Published: (2025)

Framework for Formal Modelling of Metaverse Applications Using Hierarchical Colored Petri Nets
by: Amin, Maryam, et al.
Published: (2025)

PRISM: Photonics-Informed Inverse Lithography for Manufacturable Inverse-Designed Photonic Integrated Circuits
by: Zhou, Hongjian, et al.
Published: (2026)

Embodying Intelligence into Mechanical Metamaterials via Reservoir Computing
by: He, Shan, et al.
Published: (2026)

Stochastic Simulated Quantum Annealing for Fast Solution of Combinatorial Optimization Problems
by: Onizawa, Naoya, et al.
Published: (2023)

Quantifying Geometry Effects on Low-Cost Intelligent Reflecting Surfaces
by: He, Yizhi, et al.
Published: (2025)

The Logarithmic Memristor-Based Bayesian Machine
by: Turck, Clément, et al.
Published: (2024)

Metamaterialy, konfigurowalne matryce antenowe i komunikacja holograficzna. Wstepna analiza nowej koncepcji bezprzewodowej transmisji danych
by: Kliks, Adrian
Published: (2024)

Empowering the Grid: Collaborative Edge Artificial Intelligence for Decentralized Energy Systems
by: Paula Jr, Eddie de, et al.
Published: (2025)

Extending Cislunar Communication Network Reach Using Reconfigurable Intelligent Surfaces
by: Huroon, Aamer Mohamed, et al.
Published: (2024)

RETRACTION : Artificial Intelligence Framework‐based Ultra‐lightweight Communication Protocol for Prediction of Attacks in Internet of Things Environment
Published: (2024)

Fast Numerical Solver of Ising Optimization Problems via Pruning and Domain Selection
by: Li, Langyu, et al.
Published: (2023)

Biological Optical-to-Chemical Signal Conversion Interface: A Small-scale Modulator for Molecular Communications
by: Grebenstein, Laura, et al.
Published: (2018)

Transformer‐Based Large‐Scale and Intelligent Network Traffic Prediction and Optimization
by: Zhuoyao Huang, et al.
Published: (2025)

Machine Learning-assisted High-speed Combinatorial Optimization with Ising Machines for Dynamically Changing Problems
by: Hamakawa, Yohei, et al.
Published: (2025)

C-Nash: A Novel Ferroelectric Computing-in-Memory Architecture for Solving Mixed Strategy Nash Equilibrium
by: Qian, Yu, et al.
Published: (2024)