Synergy between AI and Optical Metasurfaces: A Critical Overview of Recent Advances DOI Creative Commons
Zoran Jakšić

Photonics, Journal Year: 2024, Volume and Issue: 11(5), P. 442 - 442

Published: May 9, 2024

The interplay between two paradigms, artificial intelligence (AI) and optical metasurfaces, nowadays appears obvious unavoidable. AI is permeating literally all facets of human activity, from science arts to everyday life. On the other hand, metasurfaces offer diverse sophisticated multifunctionalities, many which appeared impossible only a short time ago. use for optimization general approach that has become ubiquitous. However, here we are witnessing two-way process—AI improving but some also AI. helps design, analyze utilize while ensure creation all-optical chips. This ensures positive feedback where each enhances one: this may well be revolution in making. A vast number publications already cover either first or second direction; modest includes both. an attempt make reader-friendly critical overview emerging synergy. It succinctly reviews research trends, stressing most recent findings. Then, it considers possible future developments challenges. author hopes broad interdisciplinary will useful both dedicated experts scholarly audience.

Language: Английский

Interval-based Scale-span Topology Optimization Considering Reliable Manufacturing Limits via the Parameterized Level Set Method and Image Recognition Techniques DOI

Zeshang Li,

Lei Wang,

Kaixuan Gu

et al.

Thin-Walled Structures, Journal Year: 2025, Volume and Issue: unknown, P. 113353 - 113353

Published: April 1, 2025

Language: Английский

Citations

0

Biomimetic Intelligent Thermal Management Materials: From Nature‐Inspired Design to Machine‐Learning‐Driven Discovery DOI
Heng Zhang,

Qingxia He,

Changjiang Liu

et al.

Advanced Materials, Journal Year: 2025, Volume and Issue: unknown

Published: May 16, 2025

Abstract The development of biomimetic intelligent thermal management materials (BITMs) is essential for tackling challenges in electronics and aerospace applications. These possess not only exceptional conductivity but also environmental compatibility. However, developing such necessitates overcoming intricate challenges, as precise control over the material structure optimization material's properties stability. This review comprehensively overviews research progress BITMs, emphasizing synergy between design principles artificial‐intelligence‐driven methodologies to enhance their performance. unique nature‐inspired structures are explored valuable insights provided into adaptive strategies, which can be further enhanced through data analytics machine learning (ML). offers outlines future prospects advanced BITMs by integrating ML principles.

Language: Английский

Citations

0

Intelligent Materials and Nanomaterials Improving Physical Properties and Control Oriented on Electronic Implementations DOI Open Access
Alessandro Massaro

Electronics, Journal Year: 2023, Volume and Issue: 12(18), P. 3772 - 3772

Published: Sept. 6, 2023

The review highlights possible research topics matching the experimental physics of matter with advances in electronics to improve intelligent design and control innovative smart materials. Specifically, following European guidelines Key Enabling Technologies (KETs), I propose different suitable for project proposals research, including nanomaterials, nanocomposite materials, nanotechnology, artificial intelligence (AI), a focus on implementation. paper provides new framework addressing study AI driving electronic systems procedures determine physical properties versatile materials dynamically material’s “self-reaction” when applying external stimuli. proposed allows one ideate circuital solutions be integrated embedded formed algorithms circuits. challenge is bring together concepts regarding provide direction applications. discussed are classified as Technology Readiness Levels (TRL) 1 2.

Language: Английский

Citations

9

Topology optimization of coated structures infilled with multiple materials DOI
Tiannan Hu, Yaguang Wang, Hao Li

et al.

Finite Elements in Analysis and Design, Journal Year: 2024, Volume and Issue: 235, P. 104165 - 104165

Published: April 10, 2024

Language: Английский

Citations

3

Synergy between AI and Optical Metasurfaces: A Critical Overview of Recent Advances DOI Creative Commons
Zoran Jakšić

Photonics, Journal Year: 2024, Volume and Issue: 11(5), P. 442 - 442

Published: May 9, 2024

The interplay between two paradigms, artificial intelligence (AI) and optical metasurfaces, nowadays appears obvious unavoidable. AI is permeating literally all facets of human activity, from science arts to everyday life. On the other hand, metasurfaces offer diverse sophisticated multifunctionalities, many which appeared impossible only a short time ago. use for optimization general approach that has become ubiquitous. However, here we are witnessing two-way process—AI improving but some also AI. helps design, analyze utilize while ensure creation all-optical chips. This ensures positive feedback where each enhances one: this may well be revolution in making. A vast number publications already cover either first or second direction; modest includes both. an attempt make reader-friendly critical overview emerging synergy. It succinctly reviews research trends, stressing most recent findings. Then, it considers possible future developments challenges. author hopes broad interdisciplinary will useful both dedicated experts scholarly audience.

Language: Английский

Citations

3