Dr. Ilya Grinberg is affiliated to the department of Chemistry , Bar Ilan University, where Dr. Ilya Grinberg is currently working as Professor. Dr. Ilya Grinberg has authored and co-authored several national and international publications and also working as a reviewer for reputed professional journals. Dr. Ilya Grinberg is having an active association with different societies and academies around the world. Dr. Ilya Grinberg made his mark in the scientific community with the contributions and widely recognition from honourable subject experts around the world. Dr. Ilya Grinberg has received several awards for the contributions to the scientific community. Dr. Ilya Grinberg major research interest involves Our work applies this approach to the studies of several fundamental materials’ chemistry problems that have important technological implications. We use highly accurate quantum mechanical density functional theory calculations to understand photovoltaic, dielectric and semiconducting oxide materials in the bulk and at the interfaces and to then to discover new materials with enhanced properties. In many applications, dynamics are extremely important and we study dynamic behaviors of materials using accurate first-principles based atomistic simulations of up to a million atoms. We also develop new computational methods to achieve greater accuracy and efficiency enabling investigations of previously intractable problems..

Our work applies this approach to the studies of several fundamental materials’ chemistry problems that have important technological implications. We use highly accurate quantum mechanical density functional theory calculations to understand photovoltaic, dielectric and semiconducting oxide materials in the bulk and at the interfaces and to then to discover new materials with enhanced properties. In many applications, dynamics are extremely important and we study dynamic behaviors of materials using accurate first-principles based atomistic simulations of up to a million atoms. We also develop new computational methods to achieve greater accuracy and efficiency enabling investigations of previously intractable problems.