Results 11 to 20 of about 13,172,692 (255)
A neural network model for high entropy alloy design
npj Computational Materials, 2023 A neural network model is developed to search vast compositional space of high entropy alloys (HEAs). The model predicts the mechanical properties of HEAs better than several other models.
Jaemin Wang +3 more
semanticscholar +1 more source
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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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
doaj +1 more source
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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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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
Pure bulk orbital and spin photocurrent in two-dimensional ferroelectric materials
npj Computational Materials, 2021 We elucidate a bias-free light-induced orbital and spin current through nonlinear response theory, which generalizes the well-known bulk photovoltaic effect in centrosymmetric broken materials from charge to the spin and orbital degrees of freedom.
Xingchi Mu, Yiming Pan, Jian Zhou
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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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Nanomaterials, 2021 Chalcogenide phase-change materials (PCMs) based random access memory (PCRAM) enter the global memory market as storage-class memory (SCM), holding great promise for future neuro-inspired computing and non-volatile photonic applications.
Xudong Wang +3 more
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