A comprehensive systematic literature review of ML in nanotechnology for sustainable development
Source abstract
Abstract
Abstract The rapid expansion of nanotechnology has transformed numerous sectors, with nanoproducts now ubiquitous in everyday life, electronics, healthcare, and pharmaceuticals. Despite their widespread adoption, concerns persist regarding potential adverse effects, necessitating vigilant risk management. This systematic literature review advocates for leveraging artificial intelligence (AI) and machine learning (ML) methodologies to enhance simulations and refine safety assessments for nanomaterials (NMs). Through a comprehensive examination of the existing literature, this study seeks to explain the pivotal role of AI in boosting NMs sustainability efforts across six key research themes. It explores their significance in advancing sustainability, hazard identification, and their diverse applications in this field. In addition, it evaluates the past sustainability strategies for NMs while proposing innovative avenues for future exploration. By conducting this comprehensive analysis, the research aims to illuminate the current landscape, identify challenges, and outline potential pathways for integrating AI and ML to promote sustainable practices within nanotechnology. Furthermore, it advocates for extending these technologies to monitor the real-world behaviour of NMs delivery. Through its thorough investigation, this systematic literature review endeavours to address current obstacles and pave the way for the safe and sustainable utilization of nanotechnology, thereby minimizing associated risks.
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Research context
OpenAlex topics: Nanoparticles: synthesis and applications · Recycling and Waste Management Techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Masaryk Institute of Advanced Studies, Czech Technical University , Prague , Praha 160 00 , Czechia
Department of CS & IT, University of Malakand , Chakdara 18800 , KP , Pakistan
Department of Computer Engineering, Gachon University, AI Building , Seongnam , 13120 , Republic of Korea
School of Computing, Gachon University , 1342 Seongnam-daero , Seongnam-si 13120 , South Korea
Faculty of Economics, Business and Management Sciences, University of Mascara, MCLDL Laboratory , Mascara, 29000 , Algeria
Department of Design Innovation, Sejong University , 209 Neungdong-ro , Gwangjin-gu , Seoul , 05006 , Republic of Korea
Department of Information Technology, College of Computer, Qassim University , Buraydah , 51452 , Saudi Arabia
Department of Electrical Engineering, College of Engineering, Qassim University , Buraydah , 52571 , Saudi Arabia
Office of the Research, Chung-Ang University , Seoul , South Korea
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