A5038964211- Adsorption and biosorption for pollutant removal
- Mesoporous Materials and Catalysis
- Supercapacitor Materials and Fabrication
- Zeolite Catalysis and Synthesis
- Chemical Synthesis and Characterization
- Advanced Photocatalysis Techniques
- TiO2 Photocatalysis and Solar Cells
- Analytical chemistry methods development
- Covalent Organic Framework Applications
- Catalytic Processes in Materials Science
- Radioactive element chemistry and processing
- Carbon dioxide utilization in catalysis
- Catalysis and Hydrodesulfurization Studies
- Catalysis and Oxidation Reactions
- Phase Equilibria and Thermodynamics
- Analytical Chemistry and Chromatography
- Phosphorus and nutrient management
- Synthesis and properties of polymers
- Lignin and Wood Chemistry
- Catalysis for Biomass Conversion
- Adsorption, diffusion, and thermodynamic properties of materials
- Extraction and Separation Processes
- Advancements in Battery Materials
- Carbon Dioxide Capture Technologies
- Thermal and Kinetic Analysis
National Aviation University
2022-2024
Lviv University
2023
National Academy of Sciences of Ukraine
2009-2021
National Academy of Medical Sciences of Ukraine
2009-2021
Institute of Software Systems
2013-2015
The University of Queensland
2009
Instituto Nacional del Carbón
2009
Institut für Nichtklassische Chemie
2002
Leipzig University
2002
Chuiko Institute of Surface Chemistry
1995
Phosphorus-rich microporous carbons (P-carbons) prepared by a simple H(3)PO(4) activation of three different carbon precursors exhibit enhanced supercapacitive performance in 1 M H(2)SO(4) when highly stable can be achieved at potentials larger than the theoretical decomposition potential water. This ability P-carbons greatly enhances energy density supercapacitors that are capable delivering 16 Wh/kg compared to 5 for commercial carbon. An intercept-free multiple linear regression model...
The CONTIN method for inverting noisy linear operators was used to calculate the adsorption distribution function from both simulated and experimental isotherms. Simulated isotherms allowed us estimate resolving power of influence errors on function, while enabled validate model its parameters. It shown that calculation within condensation approximation region gives perfect recovering original if sufficient information is inherent in input data, is, case a large data set over wide range...