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News
May 22, 2026
HSE Graduates AI Project Wins at TECH & AI Awards
Daria Davydova, graduate of the HSE Graduate School of Business and Head of the AI Implementation Unit at the Artificial Intelligence Department of Alfa-Bank, received a prize at the TECH & AI Awards. She was awarded for the best AI solution for optimising business processes. The winners were determined as part of the VII Russian Summit and Awards on Digital Transformation (CDO/CDTO Summit & Awards).
May 20, 2026
HSE University Opens First Representative Office of Satellite Laboratory in Brazil
HSE University-St Petersburg opened a representative office of the Satellite Laboratory on Social Entrepreneurship at the University of Campinas in Brazil. The platform is going to unite research and educational projects in the spheres of sustainable development, communications and social innovations.
May 18, 2026
The 'Second Shift' Is Not Why Women Avoid News
Women are more likely than men to avoid political and economic news, but the reasons for this behaviour are linked less to structural inequality or family-related stress than to personal attitudes and the emotional perception of news content. This conclusion was reached by HSE researchers after analysing data from a large-scale survey of more than 10,000 residents across 61 regions of Russia. The study findings have been published in Woman in Russian Society.

 

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?

GPU-Accelerated Matrix Exponent for Solving 1D Time-Dependent Schrödinger Equation

P. 100–113.
Choi Y. R., Stegailov V.

Non-adiabatic electron-ion quantum dynamics is still an area of many unresolved problems even for such simple systems as the H2+ molecular ion. Mathematical modelling based on time-dependent Schrödinger equation (TDSE) is an important method that can provide better understanding of these phenomena. In this work, we present TDSE solution for 1D TDSE that describes non-adiabatic electron-ion quantum dynamics for the simplified H2+ model. For solving TDSE, we use the real-space representation and the matrix exponent method that is quite computationally expensive but is free from usual symmetry-based simplifications. For this purpose, we make use of the very high performance of modern Nvidia V100/A100 GPUs and deploy our parallel multi-GPU matrix multiplication algorithm.

Language: English
DOI
Text on another site
Keywords: parallel computingTime-dependent Schrodinger equation (TDSE)Non-adiabatic quantum dynamicsHydrogen molecular ionSoft-core Coulomb potential

In book

Supercomputing: 9th Russian Supercomputing Days, RuSCDays 2023, Moscow, Russia, September 25–26, 2023, Revised Selected Papers, Part I
Springer, 2023.
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