Search Results - "Shang, Chunlei"
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Advances in machine learning- and artificial intelligence-assisted material design of steels
Published in International journal of minerals, metallurgy and materials (01-06-2023)“…With the rapid development of artificial intelligence technology and increasing material data, machine learning- and artificial intelligence-assisted design of…”
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The Characteristic Microstructures and Properties of Steel-Based Alloy via Additive Manufacturing
Published in Materials (28-03-2023)“…Differing from metal alloys produced by conventional techniques, metallic products prepared by additive manufacturing experience distinct solidification…”
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Improved data-driven performance of Charpy impact toughness via literature-assisted production data in pipeline steel
Published in Science China. Technological sciences (01-07-2023)“…Pipeline transportation is one of the most economical ways to transport crude oil and natural gas over long distances. High toughness is one of the important…”
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A review on the advance of low-temperature toughness in pipeline steels
Published in Journal of materials research and technology (01-07-2023)“…The escalating global demand for energy resources, particularly oil and natural gas, underlines the critical need for enhancing the performance of pipeline…”
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The interpretable descriptors for fatigue performance of wrought aluminum alloys
Published in Journal of materials research and technology (01-09-2024)“…Aluminum alloys are extensively utilized in the transportation and aerospace industries due to their excellent processability and corrosion resistance. A key…”
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Generation of gradient photonic moiré lattice fields
Published in Optics express (30-08-2021)“…We designed and generated gradient photonic moiré lattice fields comprising three varying periodic moiré wavefields. Because of the common twisted angles…”
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The optimal control of mine drainage systems based on hybrid Petri nets
Published in 2017 Chinese Automation Congress (CAC) (01-10-2017)“…A hybrid Petri nets model for the optimal control of mine drainage systems is presented. This model uses continuous Petri nets to describe and analyze…”
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Conference Proceeding -
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A transfer learning strategy for tensile strength prediction in austenitic stainless steel across temperatures
Published in Scripta materialia (01-10-2024)“…Austenitic stainless steel plays a pivotal role in the nuclear industry with exceptional mechanical properties and corrosion resistance, wherein…”
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A quantitative relation for the ductile-brittle transition temperature in pipeline steel
Published in Scripta materialia (15-04-2024)“…An accurate description of pipeline steel at low temperatures requires a comprehensive understanding of its ductile-brittle transition temperature (DBTT). In…”
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Self-healing of holographically generated moiré lattice wave fields
Published in Chinese optics letters (01-03-2023)Get full text
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First-principle study on the segregation and strengthening behavior of solute elements at grain boundary in BCC iron
Published in Journal of materials science & technology (01-08-2024)“…•The segregation and strengthening effects of 33 solutes were studied.Solute segregation energy correlates negatively with atomic radius•Segregated Ni, Co, Ti,…”
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Application of machine learning for predicting the service performance of metallic materials
Published in 工程科学学报 (01-01-2024)“…In materials genetic engineering, data-driven machine learning (ML) technology is driving materials research into a new paradigm after theory, experiment, and…”
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Observation of three-dimensional periodic vortex photonic lattices
Published in Superlattices and microstructures (01-06-2019)“…An optical vortices beam with a helical phase term shows a new degree of freedom, namely orbital angular momentum (OAM). Here, we generate three-dimensional…”
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Journal Article