Parallel Frameworks for Robust Optimization of Medium-Frequency Transformers

Booth, Kristen; Subramanyan, Harish; Líu, Jùn; Lukic, Srdjan

doi:10.1109/jestpe.2020.3042527

Cited by 2 publications

(1 citation statement)

References 46 publications

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“…Although it started in the microwave engineering arena, space mapping optimization has found applications in a plethora of diverse disciplines. For instance, simple linear input as well as aggressive space mapping have been applied in areas such as materials design, environmental sciences, medical instrumentation, magnetic circuits, electric motors, chemical, civil, mechanical, biomedical, aerodynamic, aeronautical, and aerospace engineering, for example, [107], [108], [109], [110].…”

Section: Space Mapping Is Applied Beyond Rf and Microwavesmentioning

confidence: 99%

An Early History of Optimization Technology for Automated Design of Microwave Circuits

Rayas‐Sánchez

2023

IEEE J. Microw.

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This paper outlines the early history of optimization technology for the design of microwave circuits-a personal journey filled with aspirations, academic contributions, and commercial innovations. Microwave engineers have evolved from being consumers of mathematical optimization algorithms to originators of exciting concepts and technologies that have spread far beyond the boundaries of microwaves. From the early days of simple direct search algorithms based on heuristic methods through gradient-based electromagnetic optimization to space mapping technology we arrive at today's surrogate methodologies. Our path finally connects to today's multi-physics, system-level, and measurement-based optimization challenges exploiting confined and feature-based surrogates, cognition-driven space mapping, Bayesian approaches, and more. Our story recognizes visionaries such as William J. Getsinger of the 1960s and Robert Pucel of the 1980s, and highlights a seminal decades-long collaboration with mathematician Kaj Madsen. We address not only academic contributions that provide proof of concept, but also indicate early formative milestones in the development of commercially competitive software specifically featuring optimization technology.

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Section: Space Mapping Is Applied Beyond Rf and Microwavesmentioning

confidence: 99%

An Early History of Optimization Technology for Automated Design of Microwave Circuits

Rayas‐Sánchez

2023

IEEE J. Microw.

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Revolutionizing Friction Stir Welding With AI-Integrated Humanoid Robots

Ahamed,

Chakravarthy,

Arputhabalan

et al. 2024

Advances in Computational Intelligence and Robotics

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This chapter explores the use of AI-integrated humanoid robots in friction stir welding (FSW), a crucial process for joining materials without melting. By combining AI capabilities with humanoid robots' dexterity and adaptability, significant advancements can be achieved. AI algorithms can improve precision and accuracy by continuously analyzing real-time sensor data, while AI-powered predictive maintenance can minimize downtime and enhance efficiency. AI-enabled robots in FSW increase automation, reduce human operator reliance, and minimize safety risks in hazardous environments. However, challenges such as cybersecurity concerns, regulatory hurdles, and ethical implications require careful consideration. Future research should focus on developing advanced AI algorithms, optimizing robot-human collaboration, and exploring new applications beyond traditional materials. The approach offers precision, efficiency, and safety, but necessitates interdisciplinary collaboration, strategic investment, and proactive addressing of technological, ethical, and regulatory challenges.

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Parallel Frameworks for Robust Optimization of Medium-Frequency Transformers

Cited by 2 publications

References 46 publications

An Early History of Optimization Technology for Automated Design of Microwave Circuits

An Early History of Optimization Technology for Automated Design of Microwave Circuits

Revolutionizing Friction Stir Welding With AI-Integrated Humanoid Robots

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