Results 11 to 20 of about 14,629,234 (340)
Modeling and simulation of microstructure in metallic systems based on multi-physics approaches
npj Computational Materials, 2022 The complex interplay between chemistry, microstructure, and behavior of many engineering materials has been investigated predominantly by experimental methods.
Jaber Rezaei Mianroodi +11 more
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Alloy design for laser powder bed fusion additive manufacturing: a critical review
International Journal of Extreme Manufacturing, 2023 Metal additive manufacturing (AM) has been extensively studied in recent decades. Despite the significant progress achieved in manufacturing complex shapes and structures, challenges such as severe cracking when using existing alloys for laser powder bed
Zhuangzhuang Liu +6 more
semanticscholar +1 more source
Thermodynamics-guided alloy and process design for additive manufacturing
Nature Communications, 2022 Production defects prevent many industrially important materials from being adopted by metal additive manufacturing. Here, the authors propose a universal thermodynamics-guided alloy design approach to assist the discovery of crack-free materials.
Zhongji Sun +7 more
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Nature Communications, 2022 Recent demands to design alloys in a more sustainable way have discouraged the use of critical elements that are rare. Here the authors demonstrate a segregation-based strategy to produce a sustainable steel, Fe18Mn3Ti, without critical elements while ...
A. Kwiatkowski da Silva +8 more
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Alloy design via additive manufacturing: Advantages, challenges, applications and perspectives
Materials Today, 2022 Additive manufacturing (AM) has rapidly changed both large-and small-scale production environments across many industries. By re-envisioning parts from the ground up, not limited to the challenges presented by traditional manufacturing techniques ...
A. Bandyopadhyay +5 more
semanticscholar +1 more source
npj Computational Materials, 2023 The purpose of this work is the development of a trained artificial neural network for surrogate modeling of the mechanical response of elasto-viscoplastic grain microstructures.
Mohammad S. Khorrami +6 more
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Teaching solid mechanics to artificial intelligence—a fast solver for heterogeneous materials
npj Computational Materials, 2021 We propose a deep neural network (DNN) as a fast surrogate model for local stress calculations in inhomogeneous non-linear materials. We show that the DNN predicts the local stresses with 3.8% mean absolute percentage error (MAPE) for the case of ...
Jaber Rezaei Mianroodi +2 more
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npj Computational Materials, 2023 Chalcogenide phase-change materials (PCMs) are widely applied in electronic and photonic applications, such as non-volatile memory and neuro-inspired computing.
Xu-Dong Wang +7 more
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Scripta Materialia, 2022 To exploit the full potential of the additive layer manufacturing technique it is necessary to adapt the material to the process via a smart alloy design strategy.
D. Schimbäck +7 more
semanticscholar +1 more source
Advanced Energy & Sustainability Research, 2023 Layered LiMO2 (M = Ni, Co, Mn, and Al mixture) cathode materials used for Li‐ion batteries are reputed to be highly reactive through their surface, where the chemistry changes rapidly when exposed to ambient air.
Mahander P. Singh +9 more
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