Research output

  1. Detector Optimization Based on Artificial Neural Network Training

    Research output: Contribution to journal › Article › peer-review

  2. MPD physics performance studies in Bi+Bi collisions at √sNN = 9.2 GeV

    Research output: Contribution to journal › Article › peer-review

  3. Artificial Neural Network Approach To Detector Configuration Optimization Based On The Impact Parameter Estimation Problem

    Research output: Contribution to journal › Article › peer-review

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Projects

  1. Цифровые и детекторные технологии для решения новых фундаментальных задач релятивистской ядерной физики и практических приложений. 2026 год. Этап 1

    Project: Grant fulfilment › Grant stage fulfilment

  2. 7-й Международная конференция "Глубокое обучение в вычислительной физике"/The 7th International conference on Deep Learning in Computational Physics

    Project: Grant fulfilment › Total grant fulfilment

  3. Изучение реакций в квантовых системах трех заряженных частиц

    Project: Grant fulfilment › Total grant fulfilment

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Activities

  1. Addressing heavy ion collision parameters estimation challenges via neural network techniques

    Activity: Conference talk types › Oral presentation

  2. RECOVERING COLLISION ENERGY CHARACTERISTICS FROM GEOMETRICALLY CONSTRAINED DATA BY MACHINE LEARNING

    Activity: Conference talk types › Oral presentation

  3. Neural network domain adaptation for addressing the generator-dependence problem in impact parameter estimation

    Activity: Conference talk types › Oral presentation

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ID: 165486