Modeling functional materials is a multifaceted and dynamic field at the forefront of scientific research, encompassing a wide array of disciplines such as physics, chemistry, materials science, and engineering. At its core, this endeavor involves the application of theoretical frameworks, computational methods, and advanced simulations to understand, predict, and optimize the properties and behavior of materials with specific functions. From semiconductors and superconductors to catalysts and biomaterials, the scope of functional materials is vast and diverse. Researchers in this field employ a spectrum of modeling techniques, ranging from first-principles quantum mechanical simulations to classical molecular dynamics and mesoscale modeling. These methods allow scientists to delve into the microscopic and nanoscopic realms, unraveling the intricacies of atomic and molecular interactions that govern material functionality. Quantum mechanical calculations, rooted in principles like density functional theory (DFT), enable precise predictions of electronic structures, band gaps, and charge transport properties crucial for designing electronic devices and semiconductor materials. Furthermore, computational chemistry techniques provide valuable insights into the thermodynamics and kinetics of chemical reactions, aiding in the development of efficient catalysts and environmentally friendly processes.







Title : Harnessing the properties of quantum structures for sensing
Harry Ruda, University of Toronto, Canada
Title : Digital twins of Li,La(Pr),K||Cl & Ag-Cu-Ni(Pb) phase diagrams
Vasily Lutsyk, Institute of Physical Materials Science (SB RAS), Russian Federation