Plasmonic Sensors for Detection of Chemical and Biological Warfare Agents

Akgönüllü, Semra; Saylan, Yeşeren; Bereli, Nilay; Türkmen, Deniz; Yavuz, Handan; Deni̇zli̇, Adil

doi:10.1002/9783527830343.ch4

Cited by 3 publications

(1 citation statement)

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“…A new perspective in the research could be in AI controlling the production processes of new smart materials and improving the quality process. In health security systems, important works are in the risk detection of chemical and biological agents [240][241][242][243], food security [244][245][246][247][248], and wearable systems [249,250]. Possible research developments are the application of AI in the detection of biological conditions for risk detection, finding possible nano-additives ensuring food security, and designing flexible electronic components.…”

Section: (Ket Vi) Security and Connectivitymentioning

confidence: 99%

Intelligent Materials and Nanomaterials Improving Physical Properties and Control Oriented on Electronic Implementations

Massaro

2023

Electronics

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

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