Znamenskiy Vasiliy

Author's profiles
  1. SCOPUS: 6602685957
  2. Web of Science ResearcherID: D-7244-2016
  3. SPIN: 8155-0910
  4. ORCID: 0000-0002-3428-7180
  5. Google Scholar ID: PWuxv6sAAAAJ
Birth place
Norilsk, Krasnoyarskiy Kray
Direction preparation
Physics
Qualification
Ph.D.
Academic degree
candidate of physical and mathematical sciences (speciality - VAC 1.3.16 Атомная и молекулярная физика) from 1994 until now
Education
Workplaces
  1. employee The City University of New York , Science Department, Borough of Manhattan Community College , Adjunct Assistant Professor , Science , 2015 to 2025 Education level: Doctoral studies
Scientific interests
CSCSTI 20.00 ИНФОРМАТИКА
CSCSTI 29.00 ФИЗИКА
VAK Russia 1 Естественные науки
VAK Russia 1.2 Компьютерные науки и информатика
VAK Russia 1.3 Физические науки
Achievements
Contribution to science
I work in the fields of computational physics, molecular modeling, biophysics, and physical chemistry. In my research, I apply molecular dynamics and quantum-chemical methods to water clusters, ionic liquids, protein systems, and Al₂O₃-based nanostructures, including organo-functionalized alumina clusters. I study hydrogen-bonding mechanisms, spectroscopic properties of molecules, structural changes in proteins interacting with sorbents, and processes related to evaporation and charge relaxation of biomolecules. One direction of my work focuses on hydrogen bonds and structured water as possible foundations for neuromorphic elements. I investigate Al₂O₃–organic clusters and water-based assemblies as potential models for elementary computational units. In biophysics, I study the behavior of proteins and their complexes, including interactions with sorbents and the influence of the microenvironment on their structure and properties. In physical chemistry, my work involves solvation processes, spectroscopy, and mechanisms of elementary reactions. I also explore fundamental questions in physics: the interpretation of physical formulas through their conceptual meaning, models of discretization in non-quantum systems, and ideas related to the geometry of spacetime. Another area of my activity is the development of educational methods. I design courses in computational methods in science, integrate national supercomputers into student research projects, and develop laboratory assignments in parallel programming, quantum chemistry, and molecular dynamics. I actively use artificial-intelligence tools in teaching and create problem sets formulated primarily through visual representations. I supervise student research in molecular modeling and high-performance computing and develop educational projects that introduce students to contemporary computational science. My scientific work covers molecular modeling, biophysics, spectroscopy, computational methods, and physics education methodology, and is published in Russian and international journals and presented on academic platforms.
Deputieship
I was reviewed
Location
Brooklyn, United States of America
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