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1
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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2
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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3
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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4
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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5
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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6
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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7
Low-Field Alignment of Anisotropic Bonded Magnets for Additive Manufacturing of Permanent Magnet Motors
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Low-Field Alignment of Anisotropic Bonded Magnets for Additive Manufacturing of Permanent Magnet Motors

Khazdozian, Helena A. ; Li, Ling ; Paranthaman, M. Parans ; McCall, Scott K. ; Kramer, Matthew J. ; Nlebedim, Ikenna C.

JOM (1989), 2019-02, Vol.71 (2), p.626-632 [Periódico revisado por pares]

New York: Springer US

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8
Linking Machine Learning with Multiscale Numerics: Data-Driven Discovery of Homogenized Equations
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Linking Machine Learning with Multiscale Numerics: Data-Driven Discovery of Homogenized Equations

Arbabi, Hassan ; Bunder, Judith E. ; Samaey, Giovanni ; Roberts, Anthony J. ; Kevrekidis, Ioannis G.

JOM (1989), 2020-12, Vol.72 (12), p.4444-4457 [Periódico revisado por pares]

New York: Springer US

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9
Advances in Gammalloy Materials–Processes–Application Technology: Successes, Dilemmas, and Future
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Advances in Gammalloy Materials–Processes–Application Technology: Successes, Dilemmas, and Future

Kim, Young-Won ; Kim, Sang-Lan

JOM (1989), 2018-04, Vol.70 (4), p.553-560 [Periódico revisado por pares]

New York: Springer US

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10
Mechanical Property Optimization of FDM PLA in Shear with Multiple Objectives
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Mechanical Property Optimization of FDM PLA in Shear with Multiple Objectives

Torres, Jonathan ; Cotelo, José ; Karl, Justin ; Gordon, Ali P.

JOM (1989), 2015-05, Vol.67 (5), p.1183-1193 [Periódico revisado por pares]

New York: Springer US

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