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Insights into defect cluster formation in non-stoichiometric wustite(Fe_(1−x)O)at elevated temperatures:accurate force field from deep learning
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作者 Zeng Liang Kejiang Li +1 位作者 Jianliang Zhang Alberto N.Conejo 《npj Computational Materials》 2025年第1期326-336,共11页
The limited understanding of the microstructure and dynamic evolution associated with the nonstoichiometric characteristics of wustite has constrained the comprehension of iron oxide properties,diffusion,and phase tra... The limited understanding of the microstructure and dynamic evolution associated with the nonstoichiometric characteristics of wustite has constrained the comprehension of iron oxide properties,diffusion,and phase transformation behaviors.This study employs deep learning methods to train interatomic potential parameters for the Fe–O system,achieving precise atomic-scale simulations of the wustite phase structure and internal lattice defects.This approach addresses the shortcomings of large-scale molecular dynamics simulations in accurately describing the solid-phase structure of the Fe–O system.Utilizing these potential parameters,this research is the first to reveal the complex mechanisms underlying the non-stoichiometric nature of wustite(Fe_(1−x)O).The study found that cation vacancy defects in wustite tend to aggregate,forming stable cluster structures.It also elucidated the formation mechanisms of interstitial iron atoms and typical defect clusters in wustite,establishing the formation preference for Koch–Cohen defect clusters.These potential parameters and research methods can be further applied in future studies on iron oxide reduction,phase transformation mechanisms,and related material development,thereby advancing fundamental research in metallurgy and related industries. 展开更多
关键词 iron oxide properties iron oxide defect cluster formation deep learning methods fe o systemachieving train interatomic potential parameters non stoichiometric wustite interatomic potential parameters
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Unveiling the Power of Magnetic-Driven Regenerative Medicine:Bone Regeneration and Functional Reconstruction
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作者 Chenxi Xu Pengzhen Cheng +4 位作者 Junxiang Wang Beilei Zhang Peng Shang Yi Lv Qiang Jie 《Research》 2026年第1期762-784,共23页
To improve the treatment outcomes for large bone defects and osteoporosis,researchers have been committed to reducing bone loss and accelerating bone regeneration through cell transplantation,biomaterial intervention,... To improve the treatment outcomes for large bone defects and osteoporosis,researchers have been committed to reducing bone loss and accelerating bone regeneration through cell transplantation,biomaterial intervention,and biophysical stimulation over the past few decades.Magnetism,as a noninvasive biophysical stimulus,has been employed in the repair of the musculoskeletal system,achieving a series of promising results.In this review,we provide a retrospective analysis and perspective of research on magnetic-driven bone regeneration and functional reconstruction.This review aims to delineate safe and efficient magnetic application modalities and to summarize the potential mechanisms by which magnetism regulates the behavior of skeletal lineage cells,thereby providing insights for the expansion and translational application of magnetic-driven regenerative medicine. 展开更多
关键词 large bone defects biophysical stimulation magnetic driven regenerative medicine functional reconstruction repair musculoskeletal systemachieving cell transplantationbiomaterial interventionand reducing bone loss biophysical stimulushas
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