Artificial Intelligence (AI) is revolutionizing the field of Materials Science and Engineering by accelerating the discovery, design, and optimization of new materials. By leveraging machine learning algorithms, AI can predict material properties, enabling researchers to identify novel materials with desired characteristics more efficiently than traditional methods. AI-driven simulations and data analysis tools are enhancing the understanding of complex material behaviors, reducing the need for costly and time-consuming experiments. This synergy between AI and materials science is particularly impactful in fields like renewable energy, electronics, and nanotechnology, where innovative materials are crucial. Ultimately, AI is paving the way for breakthroughs in material design, promising faster development of high-performance materials for diverse industrial applications.
Title : A proposal of chemical sensor based on polycrystalline Cu2O nanofilm
Paulo Cesar De Morais, Catholic University of Brasilia, Brazil
Title : Plant-mediated synthesis of silver nanoparticles and zinc oxide nanoparticles and application of AgNPs for the development of antimicrobial biopolymer films in food packaging
Garva Anup Karmarkar, Vishwakarma Institute of Technology, India
Title : Thermodynamic analysis of a combined modified Kalina–GT-MHR cycle with porous medium effects
Rakesh Manilal Harjivandas Patel, Government Science College, Gandhinagar, India
Title : Non-newtonian rheology on curved circular squeeze films using the Rabinowitsch fluid model
Rakesh Manilal Harjivandas Patel, Government Science College, Gandhinagar, India
Title : Ferrofluid mediated synthesis of nanomagnetic polymer materials in supercritical fluids
M G H Zaidi, G B Pant University of Agriculture & Technology, India
Title : Shape memory phenomena and twinning-detwinning reactions and crystallographic transformations in shape memory alloys
Osman Adiguzel, Firat University, Turkey