Computational Materials Science is an interdisciplinary field that uses computer simulations and models to understand and predict the properties and behavior of materials. By leveraging techniques like density functional theory, molecular dynamics, and Monte Carlo simulations, researchers can explore atomic-level structures and interactions. This enables the design of novel materials with tailored properties for specific applications, such as lightweight alloys, energy-efficient semiconductors, or advanced polymers. Computational tools also help in optimizing manufacturing processes and reducing the need for costly and time-consuming experimental trials. As the demand for sustainable and high-performance materials grows, computational materials science plays a pivotal role in accelerating innovation and bridging the gap between theoretical predictions and practical material development.
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