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Very High Cycle Fatigue of Ni-Based Single-Crystal Superalloys at High Temperature
Very High Cycle Fatigue of Ni-Based Single-Crystal Superalloys at High Temperature
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Very High Cycle Fatigue of Ni-Based Single-Crystal Superalloys at High Temperature

Cervellon, A. ; Cormier, J. ; Mauget, F. ; Hervier, Z. ; Nadot, Y.

Metallurgical and materials transactions. A, Physical metallurgy and materials science, 2018-09, Vol.49 (9), p.3938-3950 [Periódico revisado por pares]

New York: Springer US

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2
Influence of Microtexture on Early Plastic Slip Activity in Ti-6Al-4V Polycrystals
Influence of Microtexture on Early Plastic Slip Activity in Ti-6Al-4V Polycrystals
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Influence of Microtexture on Early Plastic Slip Activity in Ti-6Al-4V Polycrystals

Hémery, Samuel ; Dang, Van Truong ; Signor, Loïc ; Villechaise, Patrick

Metallurgical and materials transactions. A, Physical metallurgy and materials science, 2018-06, Vol.49 (6), p.2048-2056 [Periódico revisado por pares]

New York: Springer US

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3
Materials Design and Discovery with High-Throughput Density Functional Theory: The Open Quantum Materials Database (OQMD)
Materials Design and Discovery with High-Throughput Density Functional Theory: The Open Quantum Materials Database (OQMD)
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Materials Design and Discovery with High-Throughput Density Functional Theory: The Open Quantum Materials Database (OQMD)

Saal, James E. ; Kirklin, Scott ; Aykol, Muratahan ; Meredig, Bryce ; Wolverton, C.

JOM (1989), 2013-11, Vol.65 (11), p.1501-1509 [Periódico revisado por pares]

Boston: Springer US

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4
Microplasticity at Room Temperature in α/β Titanium Alloys
Microplasticity at Room Temperature in α/β Titanium Alloys
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Microplasticity at Room Temperature in α/β Titanium Alloys

Hémery, S. ; Villechaise, P. ; Banerjee, D.

Metallurgical and materials transactions. A, Physical metallurgy and materials science, 2020-10, Vol.51 (10), p.4931-4969 [Periódico revisado por pares]

New York: Springer US

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5
Microstructure and Properties of Aluminum-Containing Refractory High-Entropy Alloys
Microstructure and Properties of Aluminum-Containing Refractory High-Entropy Alloys
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Microstructure and Properties of Aluminum-Containing Refractory High-Entropy Alloys

Senkov, O. N. ; Woodward, C. ; Miracle, D. B.

JOM (1989), 2014-10, Vol.66 (10), p.2030-2042 [Periódico revisado por pares]

Boston: Springer US

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6
Microstructure Generation via Generative Adversarial Network for Heterogeneous, Topologically Complex 3D Materials
Microstructure Generation via Generative Adversarial Network for Heterogeneous, Topologically Complex 3D Materials
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Microstructure Generation via Generative Adversarial Network for Heterogeneous, Topologically Complex 3D Materials

Hsu, Tim ; Epting, William K. ; Kim, Hokon ; Abernathy, Harry W. ; Hackett, Gregory A. ; Rollett, Anthony D. ; Salvador, Paul A. ; Holm, Elizabeth A.

JOM (1989), 2021-01, Vol.73 (1), p.90-102 [Periódico revisado por pares]

New York: Springer US

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7
Beyond Atomic Sizes and Hume-Rothery Rules: Understanding and Predicting High-Entropy Alloys
Beyond Atomic Sizes and Hume-Rothery Rules: Understanding and Predicting High-Entropy Alloys
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Beyond Atomic Sizes and Hume-Rothery Rules: Understanding and Predicting High-Entropy Alloys

Troparevsky, M. Claudia ; Morris, James R. ; Daene, Markus ; Wang, Yang ; Lupini, Andrew R. ; Stocks, G. Malcolm

JOM (1989), 2015-10, Vol.67 (10), p.2350-2363 [Periódico revisado por pares]

New York: Springer US

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8
Viewpoint on the Formation and Evolution of Annealing Twins During Thermomechanical Processing of FCC Metals and Alloys
Viewpoint on the Formation and Evolution of Annealing Twins During Thermomechanical Processing of FCC Metals and Alloys
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Viewpoint on the Formation and Evolution of Annealing Twins During Thermomechanical Processing of FCC Metals and Alloys

Bozzolo, Nathalie ; Bernacki, Marc

Metallurgical and materials transactions. A, Physical metallurgy and materials science, 2020-06, Vol.51 (6), p.2665-2684 [Periódico revisado por pares]

New York: Springer US

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9
Machine Learning in Additive Manufacturing: A Review
Machine Learning in Additive Manufacturing: A Review
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Machine Learning in Additive Manufacturing: A Review

Meng, Lingbin ; McWilliams, Brandon ; Jarosinski, William ; Park, Hye-Yeong ; Jung, Yeon-Gil ; Lee, Jehyun ; Zhang, Jing

JOM (1989), 2020-06, Vol.72 (6), p.2363-2377 [Periódico revisado por pares]

New York: Springer US

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10
Solving Stochastic Inverse Problems for Property–Structure Linkages Using Data-Consistent Inversion and Machine Learning
Solving Stochastic Inverse Problems for Property–Structure Linkages Using Data-Consistent Inversion and Machine Learning
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Solving Stochastic Inverse Problems for Property–Structure Linkages Using Data-Consistent Inversion and Machine Learning

Tran, Anh ; Wildey, Tim

JOM (1989), 2021, Vol.73 (1), p.72-89 [Periódico revisado por pares]

New York: Springer US

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