Theoretical and computational nanotechnology integrates the power of advanced simulations and mathematical models to understand and predict the behavior of materials at the nanoscale. By utilizing principles from physics, chemistry, and engineering, this field enables the design of novel nanomaterials and devices with specific properties, often unattainable through traditional methods. Computational models help visualize atomic structures, predict reactions, and optimize performance, reducing the need for expensive and time-consuming experimental trials. Theoretical approaches provide insight into quantum effects and molecular interactions, essential for advancing nanotechnology applications in medicine, electronics, energy storage, and environmental protection. This fusion of theory and computation is accelerating innovations that transform industries by making nanoscale innovations more efficient, sustainable, and practical.
Title : Circumventing challenges in developing CVD graphene on steels for extraordinary and durable corrosion resistance
Raman Singh, Monash University, Australia
Title : Evaluating cytotoxicity of metal-doped tin oxide nanoparticles
Paulo Cesar De Morais, Catholic University of Brasilia, Brazil
Title : Nanotechnology and polymers for sea and ocean sterilization using artificial intelligence with artificial intelligence-engineered nano-polymer membranes
Fadi Ibrahim Ahmed, Al-shujaa bin Al-aslam School, Kuwait
Title : Dual memory characteristics and crystallographic transformations in shape memory alloys
Osman Adiguzel, Firat University, Turkey
Title : Flexible fabric-based nanostructured color-generating film systems
Xinhua Ni, Guangzhou City University of Technology, China
Title : A broadband, angle-insensitive aluminium-based near infra-red absorber for protecting warfighters and sensitive optics technologies
Chayanika Baishya, Indian Institute of Technology Guwahati, India