ReviewMaterials (Basel, Switzerland)2024
Bridging Nanomanufacturing and Artificial Intelligence-A Comprehensive Review.
Review in Materials (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed.
- Green-Synthesized Nanomaterials for Kidney Cancer: Current Progress and Future Perspectives.International journal of molecular sciences · 2026Review
- Comprehensive overview of AI methodologies in nano-drug delivery Optimization and Design.NPJ precision oncology · 2026Review
- AI-driven routing and layered architectures for intelligent ICT in nanosensor networked systems.iScience · 2026Review
- Smart Nanomedicines for Neurodegenerative Diseases: Empowering New Therapies with Molecular Imaging and Artificial Intelligence.Molecular diagnosis & therapy · 2026Review
- Next-generation viral detection through AI-enhanced nanotechnology: advances, challenges, and future directions.Frontiers in molecular biosciences · 2026Article
- AI-driven design of multifunctional nanomaterials in revolutionizing high-temperature, high-power solutions for space technology: potentials, challenges and perspectives.Discover nano · 2025Review
- Advanced Production, Processing and Characterization of Industrial Materials.Materials (Basel, Switzerland) · 2025Article
- Smart hybrid nanomaterials for chronic infections: microbiome-responsive and sustainable therapeutic platforms.Journal of nanobiotechnology · 2025Review
- A Collaborative Data Sharing Platform to Accelerate Translation of Biomedical Innovations.Bioengineering (Basel, Switzerland) · 2025Article
- Smart and Sustainable Regeneration of Fouled Desalination Membranes Using Artificial Intelligence.Global challenges (Hoboken, NJ) · 2025Review
- Femtosecond Laser Irradiation Induced Heterojunctions Between Graphene Oxide and Silver Nanowires.Materials (Basel, Switzerland) · 2025Article
- Prospects and Trends in Biomedical Microelectromechanical Systems (MEMS) Devices: A Review.Biomolecules · 2025Review
- Review
- Nanomaterials for Energy Storage Systems-A Review.Molecules (Basel, Switzerland) · 2025Review
- Convergence of Nanotechnology and Machine Learning: The State of the Art, Challenges, and Perspectives.International journal of molecular sciences · 2024Review
- Recent Advances in Research from Nanoparticle to Nano-Assembly: A Review.Nanomaterials (Basel, Switzerland) · 2024Review
- Multi-Criteria Decision-Making Approach for Pre-Synthesis Selection of the Optimal Physicochemical Properties of TiOMolecules (Basel, Switzerland) · 2024Article
- Nanoimprint Lithography for Next-Generation Carbon Nanotube-Based Devices.Nanomaterials (Basel, Switzerland) · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Nanomanufacturing and digital manufacturing (DM) are defining the forefront of the fourth industrial revolution-Industry 4.0-as enabling technologies for the processing of materials spanning several length scales. This review delineates the evolution of nanomaterials and nanomanufacturing in the digital age for applications in medicine, robotics, sensory technology, semiconductors, and consumer electronics. The incorporation of artificial intelligence (AI) tools to explore nanomaterial synthesis, optimize nanomanufacturing processes, and aid high-fidelity nanoscale characterization is discussed. This paper elaborates on different machine-learning and deep-learning algorithms for analyzing nanoscale images, designing nanomaterials, and nano quality assurance. The challenges associated with the application of machine- and deep-learning models to achieve robust and accurate predictions are outlined. The prospects of incorporating sophisticated AI algorithms such as reinforced learning, explainable artificial intelligence (XAI), big data analytics for material synthesis, manufacturing process innovation, and nanosystem integration are discussed.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.