Search Results - "Peivaste, Iman" :: K.UTB vyhledávací portál

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Data-driven analysis and prediction of stable phases for high-entropy alloy design

by Peivaste, Iman, Jossou, Ericmoore, Tiamiyu, Ahmed A.
Published in Scientific reports (18.12.2023)

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Rapid and accurate predictions of perfect and defective material properties in atomistic simulation using the power of 3D CNN-based trained artificial neural networks

by Peivaste, Iman, Ramezani, Saba, Alahyarizadeh, Ghasem, Ghaderi, Reza, Makradi, Ahmed, Belouettar, Salim
Published in Scientific reports (02.01.2024)

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Machine-learning-based surrogate modeling of microstructure evolution using phase-field

by Peivaste, Iman, Siboni, Nima H., Alahyarizadeh, Ghasem, Ghaderi, Reza, Svendsen, Bob, Raabe, Dierk, Mianroodi, Jaber Rezaei
Published in Computational materials science (01.11.2022)

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Accelerating phase-field-based simulation via machine learning

by Peivaste, Iman, Siboni, Nima H, Alahyarizadeh, Ghasem, Ghaderi, Reza, Svendsen, Bob, Raabe, Dierk, Mianroodi, Jaber R
Year of Publication 04.05.2022

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Journal Article

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Accelerating phase-field-based simulation via machine learning

by Peivaste, Iman, Siboni, Nima H, Alahyarizadeh, Ghasem, Ghaderi, Reza, Svendsen, Bob, Raabe, Dierk, Mianroodi, Jaber R
Published in arXiv.org (04.05.2022)

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Paper

Data-driven analysis and prediction of stable phases for high-entropy alloy design

Rapid and accurate predictions of perfect and defective material properties in atomistic simulation using the power of 3D CNN-based trained artificial neural networks

Machine-learning-based surrogate modeling of microstructure evolution using phase-field

Accelerating phase-field-based simulation via machine learning

Accelerating phase-field-based simulation via machine learning

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