Analysis of big experimental data based on supercomputer modeling and machine learning technologies
The goal of the research and development project is to develop a comprehensive non-destructive in-situ and operando nanometrological X-ray spectral characterization of the parameters of the local atomic and electronic structures of materials using modern instrumental methods, including the latest generation of synchrotron radiation sources
Head of project:
Alexander Soldatov - doctor of physical and mathematical sciences, professor, director of the smart materials research Institute SFedU
Personal page Experimental and theoretical foundations for monitoring, diagnosis and restoration of soil ecosystems
The goal is to develop advanced methods and technologies for diagnosing and improving the quality of soils and plants in anthropogenic landscapes
Tatyana Minkina - doctor of biological sciences, professor, head of the department of soil science and land resources assessment
Personal page Development and prediction of advanced novel materials properties using computer modeling and machine learning methods
The goal of the research project is multiscale supercomputer modeling of reaction energy profiles and modeling of the properties of organometallic complexes and metal-organic framework structures using molecular dynamics methods
Head of project:
Alexander Soldatov - doctor of physical and mathematical sciences, professor, director of the smart materials research Institute SFedU
Personal page BIOENGINEERING OF THE RHIZOSPHERE
The goal is to improve soil health and crop yield by engineering the existing indigenous soil and plant-associated microbiomes using novel nanomaterials and nano-biochar
Rajput Vishnu Dayal -
PhD, principal scientis
Personal page