Nanotechnology applications continue to drive substantial advancements in fields as diverse as electronics, microcomputing, and biotechnology, as well as health, consumer goods, aerospace, and energy generation. To acquire a more robust quantitative knowledge of matter at the nanoscale, improved modelling and simulation approaches are necessary as progress in nanoscale science and engineering leads to the continuous creation of sophisticated materials and innovative devices. Computational nanotechnology is a branch of nanotechnology dealing with the creation and application of computer-based models for comprehending, analyzing, and forecasting the behavior or features of nanotechnology-related systems. Expert insights into present and new methodologies, opportunities, and challenges linked with computational tools used in nanoscale research are provided in Computational Nanotechnology.
Title : Artificial intelligence (AI) in biomedical engineering
Hossein Hosseinkhani, Innovation Center for Advanced Technology, United States
Title : Safety management for nanomaterials in research environments
Thierry Meyer, EPFL, Switzerland
Title : Introducing nanoporous metallic capsules for improved stem cell delivery and function
Thomas J Webster, Hebei University of Technology, China
Title : Interaction between actin and quantum dots
Kyoungtae Kim, Missouri State University, United States
Title : The influence of nanomorphology in biological assays
Paulo Cesar De Morais, Catholic University of Brasilia, Brazil
Title : Nanotransporters for the release of bioactive molecules
Antonio Vassallo, University of Basilicata, Italy