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July 9, 2026
HSE Economists Use Search Queries to Forecast Birth Rates
Researchers from the HSE Faculty of Economic Sciences have shown that the accuracy of birth rate forecasts for Russia can be improved by almost 50% by incorporating the dynamics of online search queries related to pregnancy and childbirth into forecasting models. In the best-performing models, the forecasting error fell from 4.6% to 3.2%. The findings have been published in Populations and Economics.
July 8, 2026
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July 8, 2026
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Role of cations in the methane/carbon dioxide partitioning in nano- and mesopores of illite using constant reservoir composition molecular dynamics simulation

Journal of Physical Chemistry C. 2020. Vol. 124. P. 2490–2500.
Loganathan N., Yazaydin A. O., Bowers G. M., Ngouana-Wakou B. F., Kalinichev A. G., Kirkpatrick R. J.

We performed constant reservoir composition molecular dynamics (CRC-MD) simulations at 323 K and 124 bar to quantitatively study the partitioning of fluid species between the nano- and mesopores of clay and a bulk reservoir containing an equimolar mixture of CO2 and CH4. The results show that the basal (001) and protonated edge (010) surfaces of illite both demonstrate a strong preference for CO2 over CH4 adsorption; that the (001) surfaces show a stronger preference for CO2 than the (010) surfaces, especially with K+ as the exchangeable cation; and that the structuring of the near-surface CO2 by K+ is stronger than that by Na+. The protonated (010) surfaces have a somewhat greater preference for CH4, with the concentration near them close to that in the bulk fluid. The effects of the surfaces on the fluid composition extend to approximately 2.0 nm from them, with the fluid composition at the center of the pore becoming essentially the same as the bulk composition at a pore thickness of ~5.7 nm. The preference of nano- and mesopores bounded by clay minerals for CO2 over CH4 suggests that injection of CO2 into tight reservoirs is likely to displace CH4 into larger pores, thus enhancing its production.

Research target: Chemical Technologies Earth Sciences Chemistry
Priority areas: engineering science
Language: English
DOI
Text on another site
Keywords: молекулярная динамикананоматериалыatomistic modelling and simulationсланцевый газnanomaterialsshale gasАтомистическое и многомасштабное моделированиеcarbon sequestrationnanoparticlesнаночастицы molecular dynamics
Publication based on the results of:
Supercomputer technologies of atomic modeling in the material science and physics of biomembranes (2019)
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