Grants
ФНТП_СиН

Driving by artificial intelligence automated laboratory at synchrotron radiation source for accelerated development of novel advanced materials and their on-the-fly characterization

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ФЦНТП Италия

Nanocatalysts for photostimulated green hydrogen production: molecular design and advanced characterization assisted by machine learning methods

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Госзадание. 2020-2022

New functional nanomaterials for use in catalytic processes and technologies for energy storage and conversion

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РНФ. Бельгия. 2020-2022

Rational design of Pd-catalysts for C-H activation and Ru-catalysts for C=O hydrogenation: from operando X-ray absorption spectroscopy identification of metal complexes to multi-technique machine learning-based characterization

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РФФИ_Китай

Synchrotron Radiation Characterization and Theoretical Modeling on Advanced Energy Materials

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РФФИ. Перспектива. Бугаев. 2019-2021

Development of machine learning algorithms and big data analysis in the field of X-ray absorption spectroscopy

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Грант Президента. Бугаев. 2021-2022

Structure and Properties of Catalytically Active Palladium Centers in Zeolites and Metal-Organic Frameworks: Ab Initio Calculations and Experimental Studies at Megascale Research Facilities

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РНФ. 2019-2022. Нанокомпозиты для рентгеновской фотодинамической терапии глубоких опухолей в онкологии

Nanocomposites for X-ray photodynamic therapy of deep tumors in oncology

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РНФ_Скорынина

Установление закономерностей колебательных спектров цеолитов с использованием квантово-химического моделирования и методов машинного обучения

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РНФ_Панкин

Investigation of direct methane-methanol conversion mechanism over the Cu sites in Cu-exchanged zeolites

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Digital model of the experimental physical environment for diagnosing nanomaterials based on synchtron radiation for training deep reinforcement learning agents

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Prioritet-2030

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