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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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

Establishing the relationships between the vibrational spectra of zeolites by quantum-chemical modelling and machine learning methods

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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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