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 : 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 : Harnessing the unique transport properties of InAs nanowires for single molecule level sensing
Harry E Ruda, University of Toronto, Canada
Title : Success in developing CVD graphene coating on mild steel: A disruptive approach to remarkable/durable corrosion resistance
Raman Singh, Monash University, Australia
Title : Magnetohydrodynamic convective instability in binary nanofluids with thermodiffusion for Water (H2O) – Lithium Bromide (LiBr) absorption refrigeration system
Sravan Nayeka Gaikwad, Gulbarga University, India
Title : Efficient large area semi-transparent Dye-Sensitized Solar Cells (DSSCs) printed with DMD400 technology
Mahfoudh Raissi, London South Bank University, United Kingdom