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

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...

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Bibliographic Details
Published inElectronics (Basel) Vol. 12; no. 18; p. 3772
Main Author Massaro, Alessandro
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.09.2023
Subjects
3-D printers
Algorithms
Artificial intelligence
Circuits
Classification
Composition
Design and construction
Electronic systems
Electronics
Embedded systems
Food packaging
Graphene
Internet of Things
Keywords
Life sciences
Manufacturing
Materials
Materials research
Nanocomposites
Nanomaterials
Nanotechnology
Physical properties
Properties
Semiconductors
Smart materials
Technology application
Technology assessment
Italy
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ISSN2079-9292
2079-9292
DOI10.3390/electronics12183772

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Summary: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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ISSN:2079-9292
2079-9292
DOI:10.3390/electronics12183772