معرفی
Artem R. Oganov is a Distinguished Professor at Skolkovo Institute of Science and Technology (Skoltech), where he serves as Head of the Material Discovery Laboratory and Chairman of the Scientific Committee of VYZOV Prize. His groundbreaking work in crystal structure prediction has established him as a leading figure in materials science, with his USPEX algorithm adopted by over two thousand researchers worldwide.
Professor Oganov's research centers on computational materials discovery, particularly in high-pressure physics and superconductivity. His development of the USPEX algorithm revolutionized the field by enabling accurate prediction of crystal structures. His work has led to the discovery of numerous novel materials, including high-temperature superconductors and exotic chemical compounds that challenge conventional chemical understanding, such as stable sodium chloride compounds with unconventional stoichiometries and the first stable helium compound.
Oganov's recent publications reveal a strong focus on hydrogen-rich superconducting materials, with significant contributions to understanding ternary hydride systems, high-pressure chemistry, and the prediction of materials with exceptional properties. His work spans computational physics, chemistry, and materials engineering, with practical applications in energy storage and quantum technologies, attracting interest from technology giants including Intel, Fujitsu, Toyota, and Sony.
- Lacis Prize of ETH Zürich
- Medal of the European Mineralogical Union
- Multiple Elsevier Publishing House awards for most cited works
- Ranked among top 5 Skoltech scientists in Research.com rankings
- Recognized as one of the most highly cited researchers globally
Professor Oganov has successfully secured major research funding through mega-grants from both the Russian and Chinese governments. He leads an international research team that collaborates with institutions worldwide, including significant partnerships with experimental groups that validate his computational predictions. His laboratory serves as a hub for computational materials science, attracting researchers interested in pushing the boundaries of what's possible in materials discovery.
As head of the Material Discovery Laboratory at Skoltech, Oganov oversees a dynamic research environment focused on applying evolutionary algorithms to solve complex materials science problems. His team combines theoretical approaches with experimental validation to accelerate the discovery of novel functional materials, with recent work focusing on superconducting hydrides, high-pressure chemistry, and computational prediction of material properties under extreme conditions.
