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.
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Title : Using CuO polycrystalline nanofilms as sensor for small organic molecules
Paulo Cesar De Morais, Catholic University of Brasilia, Brazil
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 : A goat model of a long bone fracture healing with cockle shell-based calcium carbonate bone paste
Saroj K yadav, Chittagong veterinary and animals sciences university, Bangladesh
Title : Theoretical insights into the energy levels of quantum dots
Ang Yang Yu, Henan University, China
Title : Molecular dynamics study of surfactant characteristics and aggregation behavior in pesticidal nanoemulsions
Diksha Vats, Indian Institute of Technology Roorkee, India
Title : Adsorption and recovery of rare earth elements (REEs) using copper imidazolate (BNMG-1) metal organic framework from electronic waste
Prathmesh Bhadane, Indian Institute of Technology Gandhinagar, India