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September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
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Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

 

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A-Cation-Dependent Excited State Charge Carrier Dynamics in Vacancy-Ordered Halide Perovskites: Insights from Computational and Machine Learning Models

Chemistry of Materials. 2024. Vol. 36. No. 8. P. 3875–3885.
Nayak P. K., Perez C. M., Liu D., Prezhdo O., Ghosh D.

Lead-free vacancy-ordered halide perovskites (VOHPs) are emerging as promising materials for environmentally friendly next-generation optoelectronic devices. However, a detailed atomistic understanding of charge carrier dynamics under ambient conditions ( 300 K) is lacking. Thus, attempts to refine the optoelectronic performance of VOHPs through material selection remain challenging. Here, we combine non-adiabatic molecular dynamics, time-domain density functional theory, and an unsupervised machine learning (ML) model for in-depth analyses of prevailing nonradiative carrier recombination and its entropy correlation with real-time structural dynamics. Our key findings illustrate that the thermal fluctuations are intricately linked to the performance-limiting nonradiative recombination in these perovskites. The detailed ML model-based analyses reveal the complex nonlinear correlations between photophysical properties and several structural features that dominantly influence excited state carrier dynamics. The atomistic insights unambiguously demonstrate that the organic methylammonium (MA) cation as the A cation in the lattice significantly impacts thermal fluctuations of the isolated inorganic metal halide octahedral subsystem. The stronger electron–phonon interactions introduce substantially faster nonradiative carrier relaxation over time. The inorganic elements, cesium and rubidium (A cations), largely restrict the lattice dynamics, weakening instantaneous nonradiative electron–phonon coupling in VOHPs. These inorganic VOHPs exhibit longer carrier lifetimes, depicting suppressed nonradiative carrier recombination processes. Our study emphasizes the decisive impacts of complex dynamic structure–excited state property correlations on the charge carrier dynamics in a group of primarily isostructural halide perovskites. This study provides valuable insights into the strategically designed lead-free perovskites for optoelectronic device applications.

Research target: Chemistry
Language: English
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Keywords: nonadiabatic molecular dynamicsDensity functional theory (DFT) perovskite solar cells
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