A. Tyagunov

发表

Detection of the liquid–liquid transitions in superalloys melts upon overheating and relaxation by the electromagnetic method

D. Tarasov, O. Milder, A. Tyagunov, 2021 .

Detection of the LLT in Superalloys Melts Upon Overheating and Relaxation by the Electromagnetic Method

D. Tarasov, O. Milder, A. Tyagunov, 2020 .

Simulation of the Dynamics of Changing the Heat Resistance of Nickel Alloys by Machine Learning Methods

D. Tarasov, A. Tyagunov, O. B. Mil’der, 2021, Physics of Metals and Metallography.

ANN approach for Larson-Miller factor approximation in the space of alloy features

O. Milder, A. Tyagunov, A. Sydikhov, 2019, CENTRAL EUROPEAN SYMPOSIUM ON THERMOPHYSICS 2019 (CEST).

Application of artificial neural networks for the alloy features assessment based on the alloy compound

O. Milder, A. Tyagunov, A. Sydikhov, 2019, CENTRAL EUROPEAN SYMPOSIUM ON THERMOPHYSICS 2019 (CEST).

Polytherms of the physical properties of metallic melts

V. Tsepelev, A. Tyagunov, V. Tsepelev, 2017, Steel in Translation.

Modeling Ultimate Tensile Strength and Phase Stability of Nickel-based Superalloys Different Generations

D. Tarasov, O. Milder, A. Tyagunov, 2020 .

Simulation of the nickel superalloys solvus temperature by the deep learning artificial neural network with differential layer

D. Tarasov, O. Milder, A. Tyagunov, 2022, INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING ICCMSE 2021.

Deep learning in superalloys rupture strength simulation: Combining different test results

D. Tarasov, O. Milder, A. Tyagunov, 2022, INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2020.

Data engineering, framework selection, and individual element contribution consideration in the alloy properties modeling by an artificial neural network

D. Tarasov, O. Milder, A. Tyagunov, 2022, INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2020.

Application of Artificial Neural Networks for the Replenishment of Nickel-Based Superalloys Catalogues

Dmitry Tarasov, Oleg Milder, Andrey Tyagunov, 2018, 2018 2nd European Conference on Electrical Engineering and Computer Science (EECS).

Modeling of changes in heat resistance of nickel-based alloys using Bayesian artificial neural networks

D. Tarasov, O. Milder, A. Tyagunov, 2020 .

Method for Assessing the Structural Stability of Refractory Nickel Alloys Based on Determination of Parameter PS of Phase Stability

D. Tarasov, O. Milder, A. Tyagunov, 2022, Metal Science and Heat Treatment.

Modeling the heat resistance of nickel-based superalloys by a deep learning neural network

D. Tarasov, O. Milder, A. Tyagunov, 2020, INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2019.

Multilayer perceptron, generalized regression neural network, and hybrid model in predicting the spatial distribution of impurity in the topsoil of urbanized area

A. Buevich, E. Baglaeva, A. Shichkin, 2018 .

Inverse problem of spectral reflection prediction by artificial neural networks: Preliminary results

Oleg Milder, Dmitry Tarasov, Andrey Tyagunov, 2018, 2018 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT).

Modeling of surface dust concentration in snow cover at industrial area using neural networks and kriging

A. Buevich, A. Shichkin, D. Tarasov, 2017 .

High-Temperature Melt Treatment in the Production of Heat-Resistant Alloys with a High Content of Foundry Wastes

A. Tyagunov, K. Shmakova, E. Baryshev, 2019, Steel in Translation.

Influence of the chromium concentration on structure formation in liquid chromonickel alloys

A. Tyagunov, V. V’yukhin, E. Baryshev, 2016, Steel in Translation.

An accurate empirical formula for determining the density of heat-resistant nickel alloys

D. Tarasov, O. Milder, A. Tyagunov, 2021, Letters on Materials.