Artificial Intelligence and Nanotechnology
A special issue of Nanomaterials (ISSN 2079-4991). This special issue belongs to the section "Nanoelectronics, Nanosensors and Devices".
Deadline for manuscript submissions: 24 February 2025 | Viewed by 108
Special Issue Editor
Interests: water; risk assessment; nanotechnology; sensors; cyber-physical systems; IoTs; AI; foresight
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial intelligence (AI)-based innovations and inventions have multiplied over the past few decades, and as future AI technology improves, that rate will continue to accelerate. There have been several very successful AI-based developments in business administration, cyber security, transport logistics, healthcare diagnostics, marketing, linguistics, etc. The use of AI has also emerged as a pivotal tool in various research domains, including material design and discovery. AI plays a major role in process optimization techniques. In the context of nanomaterials, process optimization has the potential to lead to new nanomaterials with unique applications. Thus, AI tools have widely been used in nanotechnology research within the last decade.
Convergence between AI intelligence and nanotechnology has the potential to significantly alter the trajectory of many technological innovations that rely on AI-enabled explorations and algorithmic optimization based on new computer architectures, data, and hybrid technologies that use a large variety of related disciplines. The field is exponentially expanding with an in-depth understanding of the classification of material properties at the nanoscale, theoretical approaches and simulations in nanoscience, design consideration of nanodevices, and material synthesis at the nanoscale with controlled morphology. This has led to the development of size- and shape-controlled nanomaterials with applications in electronics, catalysis, quantum and biomedical technologies, agriculture, and biomedical applications. Despite the current progress, more robust synthesis and validation procedures that use current and future trends that can boost artificial intelligence-based applications are still lacking. It is anticipated that the intersection of artificial intelligence and nanotechnology can shape the path for many technological developments using nanomaterials.
The aim of this Special Issue is to form a repository of current and diverse research that highlights the use of AI in nanomaterial synthesis for the development of novel nanomaterials and novel and unique applications in electronics, optics, catalysis, medicine, agriculture, and sustainability. In addition to original research, for this Special Issue, we will consider review papers, including mini-reviews focused on a very specific topic.
Topics of interest include the following:
- Nanomaterial synthesis assisted by AI and machine learning.
- AI-developed nanomaterials for use in sensors/detectors, catalysis, agriculture, and waste management (including micro/nano plastics).
- AI-developed magnetic nanomaterials.
- AI and machine learning in nanosafety.
- AI-developed nanomaterials in nanomedicine.
- AI-enabled nanomaterials for the Internet of (every) Things; IoT devices;
- AI and foresight tools to understand and bridge knowledge gaps.
Prof. Dr. Ashok Vaseashta
Guest Editor
Manuscript Submission Information
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Keywords
- nanomaterials
- AI and ML
- optimization
- ecosystem of innovations
- technology foresight
- advanced AI-based nanomaterials for pollution monitoring and mitigation, and sustainable management
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