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 : Multicomponent high-entropy cantor alloys
Brian Cantor, University of Oxford, United Kingdom
Title : Threshold switching in nickle-doped zinc oxide based memristor for artificial sensory applications
Rajwali Khan, University of Lakki Marwat, Pakistan
Title : Do nanoscience and nanoengineering need new models for materials and processes?
Elias C Aifantis, Aristotle University of Thessaloniki, Greece
Title : Photoalignment and photopatterning nanosize azodye layers for new liquid crystal devices
Vladimir Chigrinov, The Hong Kong University of Science and Technology, Hong Kong
Title : Nanotechnology in the maintenance of artifacts
Alaa saed abdelmagid zailouk, Ministry of Tourism and Antiquities, Egypt
Title : Metal quantum-dots in glasses for nanophotonics
Purushottam Chakraborty, Saha Institute of Nuclear Physics, India