Evgeny Liverts | Atomic Physics | Best Researcher Award

Dr. Evgeny Liverts | Atomic Physics | Best Researcher Award

Dr. Evgeny Liverts Racah, Institute of Physics. The Hebrew University of Jerusalem, Israel

Dr. Evgeny Liverts is a theoretical physicist and senior researcher at the Racah Institute of Physics, Hebrew University of Jerusalem, Israel. With a Ph.D. in Physics from the Institute of Nuclear Physics, Alma-Ata, he has made significant contributions to computational quantum mechanics, atomic physics, and nuclear physics. His expertise spans advanced computational methods, ab initio calculations, and the study of atomic and molecular systems. Dr. Liverts has over four decades of experience in research, including a strong background in theoretical aspects of the Mössbauer effect and high-temperature superconductivity.

PROFILE

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Educational Detail

Master’s Degree (1974): Department of Theoretical Physics, Faculty of Physics, Dnepropetrovsk State University, USSR.

Ph.D. Degree (1983): Institute of Nuclear Physics, Alma-Ata, USSR. Approved by the Higher Attestation Commission, USSR Council of Ministers, Moscow (1983) and the Israeli Ministry of Education, Jerusalem (2005).

Professional Experience

Senior Scientist (1991–2002): Institute of Nuclear Physics, Alma-Ata, Kazakhstan.

Scientist (1983–1990): Institute of Nuclear Physics, Alma-Ata, Kazakhstan.

Junior Scientist (1977–1982): Institute of Nuclear Physics, Alma-Ata, Kazakhstan.

Engineer (1975–1976): Institute of Nuclear Physics, Alma-Ata, Kazakhstan.

Current Role: Researcher at the Racah Institute of Physics, Hebrew University of Jerusalem, Israel.

Research Interests

Dr. Liverts is an accomplished physicist with expertise in theoretical physics and quantum mechanics. His primary research directions include:

Development of advanced computational methods, including the Correlation Function Hyperspherical Harmonic Method (CFHHM) and quasilinearization techniques for solving Schrödinger’s equation.

Study of atomic systems, including double photoionization of atoms encapsulated in fullerenes and specific configurations of two-electron systems.

Ab initio calculations of atomic, nuclear, and molecular systems, focusing on non-relativistic energies, wave functions, and electroweak cross-sections in light nuclear systems.

Refinement of angular Fock coefficients, atomic coalescences, and calculations of bound and quasi-bound states in multi-body systems.

Theoretical studies of the Mössbauer effect and high-temperature superconductors using modern quantum chemistry techniques.

Skills

Proficient in Fortran (77, 90) and Wolfram Mathematica.

Experienced with operating systems such as Windows, Unix, and Linux.

Reviewer for leading scientific journals, including Physica Scripta, Journal of Physics A, Annals of Physics, and Computational Physics Communications.

Top Notable Publications

Evgeny Liverts (2024). “Two-Electron Atomic Systems—A Simple Method for Calculating the Ground State near the Nucleus: Some Applications.” Atoms, DOI: 10.3390/atoms12120069.

Evgeny Liverts (2022). “Fock Expansion for Two-Electron Atoms: High-Order Angular Coefficients.” Atoms, DOI: 10.3390/atoms10040135.

Evgeny Liverts (2022). “Co-spherical Electronic Configuration of the Helium-Like Atomic Systems.” Annals of Physics, DOI: 10.1016/j.aop.2021.168669.

Evgeny Liverts (2021). “Accurate Exponential Representations for the Ground State Wave Functions of the Collinear Two-Electron Atomic Systems.” Atoms, DOI: 10.3390/atoms10010004.

Evgeny Liverts (2020). “Collinear Configuration of the Helium Atom and Two-Electron Ions.” Annals of Physics, DOI: 10.1016/j.aop.2020.168306.

Evgeny Liverts (2020). “Averaged Electron Densities of the Helium-Like Atomic Systems.” Journal of Mathematical Physics, DOI: 10.1063/1.5129026.

Evgeny Liverts (2018). “The Green’s Function Approach to the Fock Expansion Calculations of Two-Electron Atoms.” Journal of Physics A: Mathematical and Theoretical, DOI: 10.1088/1751-8121/aaa2ce.

Conclusion

Dr. Evgeny Liverts is an exemplary candidate for the Research for Best Researcher Award due to his extensive contributions to theoretical physics, computational methods, and atomic studies. His innovative research, supported by a solid academic foundation and decades of professional expertise, makes him a strong contender for this prestigious recognition.

 

 

 

 

 

 

 

 

 

 

 

 

Yang Han | Condensed Matter Physics | Best Researcher Award

Prof Dr.Yang Han | Condensed Matter Physics | Best Researcher Award

Google Scholar Profile

Orcid Profile

Educational Details:

Yang Han completed her Ph.D. in 2014 from Nanjing University, China. Following her doctorate, she pursued postdoctoral research at RWTH Aachen University, Germany, from 2014 to 2016, where she focused on [research focus, e.g., materials science, mechanical properties, etc.]. She then continued her postdoctoral work at the University of Lorraine, France, from 2016 to 2018, concentrating on [research focus, e.g., thermoelectric properties, molecular dynamics simulations, etc.]. With a strong background in first-principles calculations and numerical simulations, she now serves as a professor and Ph.D. supervisor at Harbin Engineering University.

Research and Innovations:

Yang Han has made significant contributions to the fields of material science and computational modeling, particularly through her innovative research using numerical simulations to understand the mechanical, thermal transport, electronic, magnetic, and thermoelectric properties of advanced materials. Her groundbreaking work has centered on the following key research innovations:

  1. Topological Defects and Heterojunctions in 3D Graphene Structures: Through the support of the National Natural Science Foundation of China (Project No. 12104111), Yang’s research has provided vital insights into the stability and physical properties of three-dimensional graphene structures. By exploring the influence of topological defects and heterojunctions, her research has enhanced the understanding of how these factors contribute to material performance, with potential applications in advanced electronics and nanotechnology.
  2. Natural Gas Hydrate Self-Protection Mechanisms: Under the Basic Research Funds for Central Universities, Yang’s research on natural gas hydrates has delved into the microscopic mechanisms that enable these structures to self-protect, which has crucial implications for energy storage and environmental sustainability. Her molecular dynamics simulations have uncovered novel pathways for optimizing the extraction and stability of natural gas hydrates.
  3. Combustible Ice Formation Mechanism: Another major contribution is her simulation study on the formation mechanism and physical properties of combustible ice. This research, funded by Central Universities’ Free Exploration Support Program, sheds light on the potential of combustible ice as a future energy source by providing a detailed understanding of its formation at the molecular level.
  4. Thermal Conductivity in Carbon Honeycomb Structures: At RWTH Aachen University, Yang’s work using high-performance computing resources has advanced the understanding of how tensile strain impacts the thermal conductivity of carbon-based materials. This research has potential implications for the development of advanced materials with tailored thermal properties for use in electronics and energy systems.
  5. Ab initio Calculations for Predicting Thermal Materials: Yang’s predictive models using ab initio calculations to discover new thermal materials have been pivotal in the design and application of next-generation materials with enhanced heat conduction properties. This project at RWTH Aachen University led to the development of methods that could revolutionize industries ranging from electronics to aerospace by providing better materials for thermal management.

These research innovations demonstrate Yang HAN’s pioneering contributions to material science, leveraging cutting-edge computational techniques to solve complex problems with wide-ranging impacts across multiple scientific and industrial domains.

Research Interest: 

Yang Han research focuses on utilizing numerical simulations to investigate the formation mechanisms and physical properties of natural gas hydrates. Her work delves into understanding how these hydrates form and stabilize at the molecular level, which has significant implications for energy storage and environmental applications. By employing molecular dynamics simulations, she provides crucial insights into the self-preservation behaviors of natural gas hydrates, aiding in their practical extraction and use as alternative energy sources.

Additionally, Yang has made substantial contributions to the study of the mechanical, thermal, electronic, magnetic, and thermoelectric properties of materials. Using a combination of first-principles calculations, molecular dynamics simulations, and analytical models, her research investigates how various materials behave under different physical conditions. This includes exploring their conductivity, structural stability, and magnetic properties, which are essential for designing advanced materials for electronics, thermoelectric devices, and other high-performance applications. Her multi-disciplinary approach is instrumental in advancing the field of material science, offering potential innovations across a wide range of industries.

Contributions: 

Yang Han is a seasoned researcher with over 10 years of experience in the field of numerical simulations, specializing in the mechanical, thermal transport, electronic, magnetic, and thermoelectric properties of materials. Her work primarily involves first-principles calculations and molecular dynamics simulations, which allow her to explore and predict the behavior of materials under various conditions. Her research also extends to water clathrate structures, such as methane hydrate, which have significant implications for energy storage and environmental conservation.

Yang’s academic contributions include 29 SCI-indexed papers, with two of her publications being specially highlighted by the editorial office of Nanotechnology and one chosen as a SCIlight by the Journal of Applied Physics. These recognitions underscore the impact and innovation of her work in material science, particularly in advancing the understanding of material properties for real-world applications in energy and technology.

Top Notable Publications

Rapid growth of CO2 hydrate as a promising way to mitigate the greenhouse effect
Authors: S. Jia, L. Yang, Y. Han, T. Zhang, X. Zhang, P. Gong, S. Du, Y. Chen, J. Ding
Year: 2024
Journal: Materials Today Physics, Article No. 101548
Citations: Not yet available (2024 publication)

Buckling Hydrogenated Biphenylene Network with Tremendous Stretch Extent and Anomalous Thermal Transport Properties
Authors: X. Zhang, M. Poulos, K. Termentzidis, Y. Han, D. Zhao, T. Zhang, X. Liu, S. Jia
Year: 2024
Journal: The Journal of Physical Chemistry C, 128 (13), 5632-5643
Citations: Not yet available (2024 publication)

Ferroelectricity of ice nanotube forests grown in three-dimensional graphene: the electric field effect
Authors: T. Zhang, Y. Han, C. Luo, X. Liu, X. Zhang, Y. Song, Y. T. Chen, S. Du
Year: 2024
Journal: Nanoscale, 16 (3), 1188-1196
Citations: 2

DFT characterization of a new possible two-dimensional BN allotrope with a biphenylene network structure
Authors: Y. Han, T. Hu, X. Liu, S. Jia, H. Liu, J. Hu, G. Zhang, L. Yang, G. Hong, Y. T. Chen
Year: 2023
Journal: Physical Chemistry Chemical Physics, 25 (16), 11613-11619
Citations: 5

Modulating thermal transport in a porous carbon honeycomb using cutting and deformation techniques
Authors: Y. Han, C. Zhao, H. Bai, Y. Li, J. Yang, Y. T. Chen, G. Hong, D. Lacroix, M. Isaiev
Year: 2022
Journal: Physical Chemistry Chemical Physics, 24 (5), 3207-3215
Citations: 1

Stretched three-dimensional white graphene with a tremendous lattice thermal conductivity increase rate
Authors: Y. Han, Y. Liang, X. Liu, S. Jia, C. Zhao, L. Yang, J. Ding, G. Hong
Year: 2022
Journal: RSC Advances, 12 (35), 22581-22589
Citations: 3

Condition monitoring and performance forecasting of wind turbines based on denoising autoencoder and novel convolutional neural networks
Authors: X. Jia, Y. Han, Y. Li, Y. Sang, G. Zhang
Year: 2021
Journal: Energy Reports, 7, 6354-6365
Citations: 37

Prediction of equilibrium conditions for gas hydrates in the organic inhibitor aqueous solutions using a thermodynamic consistency-based model
Authors: S. Li, Y. Li, L. Yang, Y. Han, Z. Jiang
Year: 2021
Journal: Fluid Phase Equilibria, 544, 113118
Citations: 15

Tailoring the activity of NiFe layered double hydroxide with CeCO3OH as highly efficient water oxidation electrocatalyst
Authors: J. Ding, Y. Han, G. Hong
Year: 2021
Journal: International Journal of Hydrogen Energy, 46 (2), 2018-2025
Citations: 14