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1
Molecular Dynamics Study of Temperature Dependence of Grain Boundaries (100) in Pure Aluminum with Application of Machine Learning
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Molecular Dynamics Study of Temperature Dependence of Grain Boundaries (100) in Pure Aluminum with Application of Machine Learning

Fomin, Evgenii V.

Metals (Basel ), 2024-04, Vol.14 (4), p.415 [Periódico revisado por pares]

Basel: MDPI AG

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2
Mathematical Model of the Dependence of Gas Flow Rate in Furnace Zones on the Output of a Rolling Mill
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Mathematical Model of the Dependence of Gas Flow Rate in Furnace Zones on the Output of a Rolling Mill

Fomin, A. V.

Metallurgist (New York), 2023-05, Vol.67 (1-2), p.256-262 [Periódico revisado por pares]

New York: Springer US

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3
Reconstruction of Scalar-Torsion Gravity Theories from the Physical Potential of a Scalar Field
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Reconstruction of Scalar-Torsion Gravity Theories from the Physical Potential of a Scalar Field

Chervon, Sergei V. ; Fomin, Igor V.

Symmetry (Basel), 2023-01, Vol.15 (2), p.291 [Periódico revisado por pares]

Basel: MDPI AG

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4
Machine-Learning-Based Model of Elastic—Plastic Deformation of Copper for Application to Shock Wave Problem
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Machine-Learning-Based Model of Elastic—Plastic Deformation of Copper for Application to Shock Wave Problem

Mayer, Alexander E. ; Lekanov, Mikhail V. ; Grachyova, Natalya A. ; Fomin, Eugeniy V.

Metals (Basel ), 2022-03, Vol.12 (3), p.402 [Periódico revisado por pares]

Basel: MDPI AG

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5
X-ray Excited Optical Luminescence of Eu in Diamond Crystals Synthesized at High Pressure High Temperature
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X-ray Excited Optical Luminescence of Eu in Diamond Crystals Synthesized at High Pressure High Temperature

Lebedev, Vasily T ; Shakhov, Fedor M ; Vul, Alexandr Ya ; Zakharov, Arcady A ; Zinoviev, Vladimir G ; Orlova, Vera A ; Fomin, Eduard V

Materials, 2023-01, Vol.16 (2), p.830 [Periódico revisado por pares]

Switzerland: MDPI AG

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6
Adaptive Control of Process Units at JSC OEMK Named after A. A. Ugarov Based on Neural Network for Tuning Controller Parameters
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Adaptive Control of Process Units at JSC OEMK Named after A. A. Ugarov Based on Neural Network for Tuning Controller Parameters

Chernov, K. A. ; Fomin, A. V. ; Glushchenko, A. I.

Metallurgist (New York), 2022-05, Vol.66 (1-2), p.84-95 [Periódico revisado por pares]

New York: Springer US

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7
Development and Industrial Operation of an Intelligent System to Detect Markings of a Cast Billet at A. A. Ugarov Oskol Electrometallurgical Plant
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Development and Industrial Operation of an Intelligent System to Detect Markings of a Cast Billet at A. A. Ugarov Oskol Electrometallurgical Plant

Poleshchenko, D. A. ; Fomin, A. V. ; Glushchenko, A. I. ; Zorin, I. S.

Metallurgist (New York), 2022-07, Vol.66 (3-4), p.349-356 [Periódico revisado por pares]

New York: Springer US

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8
Development of a method for discrete-continuous inverting control of pressure control circuit inside a heating furnace
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Development of a method for discrete-continuous inverting control of pressure control circuit inside a heating furnace

Fomin, A. V.

Metallurgist (New York), 2024, Vol.67 (11-12), p.1737-1744 [Periódico revisado por pares]

New York: Springer US

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9
Simulation and Experimental Evaluation of Circumferential Fracture Conditions in Hot Radial–Shear Rolling
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Simulation and Experimental Evaluation of Circumferential Fracture Conditions in Hot Radial–Shear Rolling

Galkin, S. P. ; Stebunov, S. A. ; Aleschenko, A. S. ; Vlasov, A. V. ; Patrin, P. V. ; Fomin, A. V.

Metallurgist (New York), 2020-07, Vol.64 (3-4), p.233-241 [Periódico revisado por pares]

New York: Springer US

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10
Improving the Control of the OEMK Heating Furnaces by Using Parameter-Scheduled Adaptive PI Controllers
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Improving the Control of the OEMK Heating Furnaces by Using Parameter-Scheduled Adaptive PI Controllers

Fomin, A. V. ; Glushchenko, A. I.

Metallurgist (New York), 2019-07, Vol.63 (3-4), p.257-263 [Periódico revisado por pares]

New York: Springer US

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