The incorporation of artificial intelligence (AI) tools to explore nanomaterial synthesis, optimize nanomanufacturing processes, and aid high-fidelity nanoscale characterization is discussed.

In this review, we explore recent advancements in the field of AI-driven nanomaterials. Firstly, we delve into how AI can be leveraged in material design, utilizing vast databases to develop new …

Dec 1, 2024 · AI enables optimization of nanomanufacturing processes, enhancing efficiency and precision in the production of nanoscale devices and materials. AI-driven predictive modeling …

Nanoparticles can contribute to stronger, lighter, cleaner and 'smarter' surfaces and systems. Synthetically produced nanoparticles play an important role in nanotechnology and find use in …

Jun 10, 2023 · 2.1.2 Artificial nanomaterials. Carbon nanotubes and semiconductor nanoparticles like quantum dots (QDs) are examples of artificial nanomaterials that are made consciously …

Dec 31, 2024 · The interdisciplinary nexus of artificial intelligence (AI) and nanomaterials science heralds a paradigm shift in materials discovery and application. This paper provides a …

Apr 2, 2024 · The incorporation of artificial intelligence (AI) tools to explore nanomaterial synthesis, optimize nanomanufacturing processes, and aid high-fidelity nanoscale …

Jul 13, 2021 · Machine learning (ML) offers a promising tool for the accelerated development of efficient protocols for nanoparticle synthesis and, potentially, for the synthesis of new types of …

Mar 28, 2024 · Robotics and machine learning are combined to predict and prepare a variety of nanocomposite materials with properties mimicking those of various types of plastics, starting …

Jun 3, 2023 · In this review, we summarize recent advancements of AI applications in nanomaterials discovery, with a special emphasis on the selected applications of AI and …