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April 28, 2026
Scientists Develop Algorithm for Accurate Financial Time Series Forecasting
Researchers at the HSE Faculty of Computer Science benchmarked more than 200,000 model configurations for predicting financial asset prices and realised volatility, showing that performance can be improved by filtering out noise at specific frequencies in advance. This technique increased accuracy in 65% of cases. The authors also developed their own algorithm, which achieves accuracy comparable to that of the best models while requiring less computational power. The study has been published in Applied Soft Computing.
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How can items be allocated among participants so that no one feels short-changed? Alexander Karpov, Assistant Professor at the Faculty of Economic Sciences, and his Singaporean colleague, Prof. Warut Suksompong, set out to find a mathematical answer to this question. In this interview, they discuss how a model of rational preferences is constructed, why one cannot rely on a simple sum of values, and where an algorithm that asks a minimal number of questions can be useful.
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Electronics of the Future: Why Superconductors and Spintronics Work Together
It was once believed that superconductivity and magnetism avoided each other like the devil avoids holy water. However, modern nanostructures prove the opposite. A Russian theoretical physicist and Indian experimentalists have joined forces to create the electronics of the future—free from energy losses. Nataliya Pugach, Professor at the School of Electronic Engineering at HSE MIEM and Leading Research Fellow at the Quantum Nanoelectronics Laboratory, explains how a long-standing acquaintance in Cambridge grew into a mirror laboratory project with the Indian Institute of Technology Bombay (IIT Bombay), how superconducting spintronics works, and what surprises a researcher in India beyond the university campus.

 

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Gas Flow Sputtering of Pt/C Films and their Performance in Electrocatalytic Hydrogen Evolution Reaction

ChemPhysChem. 2023. Vol. 24. No. 14. Article e202200650.
Bernsmeier D., Selve S., Nissen J., Maticiuc N., Ibaceta-Jaña J., Szyszka B., Ruslan Muydinov

A single step deposition technique of Pt/C films for electrocatalytic applications is presented. The hollow cathode gas flow sputtering (GFS) method allows a catalyst production within few minutes without further steps. The herein presented films consist of small Pt nanocrystals (2–5 nm) deposited in a matrix of nanocrystalline carbon. The films show a low and stable overpotential under acidic conditions in the hydrogen evolution reaction (HER). Relatively low Pt-mass activity (<1 mA/μgPt) is attributed to the yet too high Pt-content in the films. Another issue discovered in this work is a non-graphitic state of carbon resulting in its high resistivity. Still, the GFS deposition technique providing by nature high deposition rates and a substance-to-material yield of 80–90 % is advantageous than other sputtering techniques and especially chemical methods in that sense. This technique is scalable to areas in the range of square meters and thus represents an attractive way to efficiently produce large-scale cathode coatings for industrial electrolysers.

Research target: Nanotechnologies
Language: English
DOI
Text on another site
Keywords: gas flow sputteringPt/C electrodehydrogen evolution reaction
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