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 : Recent advances in nanomedicine: Sensors, implants, artificial intelligence, saving the environment, human studies, and more
Thomas J Webster, Hebei University of Technology, China
Title : Harnessing the unique transport properties of InAs nanowires for single molecule level sensing
Harry E Ruda, University of Toronto, Canada
Title : Photonic metasurfaces in azobenzene materials
Ribal Georges Sabat, Royal Military College of Canada, Canada
Title : Using CuO polycrystalline nanofilms as sensor for small organic molecules
Paulo Cesar De Morais, Catholic University of Brasilia, Brazil
Title : Microplastics and nanoplastics in Antartica. Consideration their impact on ecosystems and human and fauna health
Maria Cecilia Colautti, Defense University of Republic of Argentina, Argentina
Title : Surface-enhanced stimulated Raman spectroscopy with squeezed photonic states
Frank Hagelberg, East Tennessee State University, United States