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Recent significant advances in integrating multiple Large Language Model (LLM) systems have enabled Agentic Frameworks capable of performing complex tasks autonomously, including novel scientific research. We develop and demonstrate such a…

Artificial Intelligence · Computer Science 2025-07-16 Darui Lu , Jordan M. Malof , Willie J. Padilla

Metamaterials, renowned for their exceptional mechanical, electromagnetic, and thermal properties, hold transformative potential across diverse applications, yet their design remains constrained by labor-intensive trial-and-error methods…

Automated metasurface design is increasingly important, and recent advances in language-model systems are opening a route toward agentic optical design. Yet modern metasurface applications, from metalenses and holography to optical…

Optics · Physics 2026-05-25 Bei Wu , Bo Xiong , Haiyao Luo , Yaqi Li , Li Zhang , Qiaolu Chen , Hongsheng Chen , Yihao Yang

Metasurface inverse design has become central to realizing complex optical functionality, yet translating target responses into executable, solver-compatible workflows still demands specialized expertise in computational electromagnetics…

Artificial Intelligence · Computer Science 2026-04-03 Yi Huang , Bowen Zheng , Yunxi Dong , Hong Tang , Huan Zhao , S. M. Rakibul Hasan Shawon , Hualiang Zhang

Traditional metasurface design is limited by the computational cost of full-wave simulations, preventing thorough exploration of complex configurations. Data-driven approaches have emerged as a solution to this bottleneck, replacing costly…

Optics · Physics 2026-01-28 Huanshu Zhang , Lei Kang , Sawyer D. Campbell , Douglas H. Werner

MetaDesigner introduces a transformative framework for artistic typography synthesis, powered by Large Language Models (LLMs) and grounded in a user-centric design paradigm. Its foundation is a multi-agent system comprising the Pipeline,…

Large Language Models (LLMs) have demonstrated the ability to solve a wide range of practical tasks within multi-agent systems. However, existing human-designed multi-agent frameworks are typically limited to a small set of pre-defined…

Artificial Intelligence · Computer Science 2025-07-31 Yaolun Zhang , Xiaogeng Liu , Chaowei Xiao

Embodied agents for creative tasks like photography must bridge the semantic gap between high-level language commands and geometric control. We introduce PhotoAgent, an agent that achieves this by integrating Large Multimodal Models (LMMs)…

Computer Vision and Pattern Recognition · Computer Science 2026-03-25 Lirong Che , Zhenfeng Gan , Yanbo Chen , Junbo Tan , Xueqian Wang

Data-driven approaches have revolutionized the design and optimization of photonic metadevices by harnessing advanced artificial intelligence methodologies. This review takes a model-centric perspective that synthesizes emerging design…

Nanophotonic technologies inherently rely on tailoring light-matter interactions through the excitation and interference of deeply confined optical resonances. However, existing concepts in optical mode engineering remain heuristic and are…

Agentic AI prototypes are being deployed across domains with increasing speed, yet no methodology for their structured design, governance, and prospective evaluation has been established. Existing AI documentation practices and guidelines…

Software Engineering · Computer Science 2026-03-02 Sebastian Lobentanzer

Agentic AI has significantly extended the capabilities of large language models (LLMs) by enabling complex reasoning and tool use. However, most existing frameworks are tailored to domains such as mathematics, coding, or web automation, and…

Artificial Intelligence · Computer Science 2025-10-15 Md Hasebul Hasan , Mahir Labib Dihan , Tanzima Hashem , Mohammed Eunus Ali , Md Rizwan Parvez

We introduce the concept of "Design Agents" for engineering applications, particularly focusing on the automotive design process, while emphasizing that our approach can be readily extended to other engineering and design domains. Our…

Artificial Intelligence · Computer Science 2025-12-04 Mohamed Elrefaie , Janet Qian , Raina Wu , Qian Chen , Angela Dai , Faez Ahmed

The generation of truly novel and diverse ideas is important for contemporary engineering design, yet it remains a significant cognitive challenge for novice designers. Current 'single-spurt' AI systems exacerbate this challenge by…

Artificial Intelligence · Computer Science 2026-01-05 Sankar B , Srinidhi Ranjini Girish , Aadya Bharti , Dibakar Sen

Metasurfaces is an emerging field that enables the manipulation of light by an ultra-thin structure composed of sub-wavelength antennae and fulfills an important requirement for miniaturized optical elements. Finding a new design for a…

This position paper argues that the image processing community should broaden its focus from purely model-centric development to include agentic system design as an essential complementary paradigm. While deep learning has significantly…

Computer Vision and Pattern Recognition · Computer Science 2025-05-23 Jinjin Gu

In architectural interior design, miscommunication frequently arises as clients lack design knowledge, while designers struggle to explain complex spatial relationships, leading to delayed timelines and financial losses. Recent advancements…

Artificial Intelligence · Computer Science 2026-03-17 Ren Jian Lim , Rushi Dai

Metasurfaces have shown promising potentials in shaping optical wavefronts while remaining compact compared to bulky geometric optics devices. Design of meta-atoms, the fundamental building blocks of metasurfaces, relies on trial-and-error…

The engineering design process often demands expertise from multiple domains, leading to complex collaborations and iterative refinements. Traditional methods can be resource-intensive and prone to inefficiencies. To address this, we…

Artificial Intelligence · Computer Science 2026-01-01 Varun Kumar , George Em Karniadakis

This paper introduces a multi-agent framework guided by Large Language Models (LLMs) to assist in the early stages of engineering design, a phase often characterized by vast parameter spaces and inherent uncertainty. Operating under a…

Artificial Intelligence · Computer Science 2026-04-21 Varun Kumar , George Em Karniadakis
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