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Improving RSW nugget diameter prediction method:unleashing the power of multi-fidelity neural networks and transfer learning

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Advances in Manufacturing 2024年第3期12卷 409-427页

作者： Zhong-Jie Yue Qiu-Ren Chen Zu-Guo Bao Li huang Guo-Bi Tan Ze-Hong Hou Mu-shi Li shi-yao huang Hai-Long Zhao Jing-Yu Kong Jia Wang Qing Liu Key Laboratory for Light-weight Materials Nanjing Tech UniversityNanjing210009People’s Republic of China School of Advanced Technology Xi’an Jiaotong-Liverpool UniversitySuzhou215123JiangsuPeople’s Republic of China Material Academy JITRISuzhou215100JiangsuPeople’s Republic of China School of Mechanical Engineering Shanghai Jiao Tong UniversityShanghai200240People’s Republic of China

This research presents an innovative approach to accurately predict the nugget diameter in resistance spot welding(RSW)by leveraging machine learning and transfer learning ***,low-fidelity(LF)data were obtained through finite element numerical simulation and design of experiments(DOEs)to train the LF machine learning ***,high-fidelity(HF)data were collected from RSW process experiments and used to fine-tune the LF model by transfer learning *** accuracy and generalization performance of the models were thoroughly *** results demonstrated that combining different fidelity datasets and employing transfer learning could significantly improve the prediction accuracy while minimize the costs associated with experimental trials,and provide an effective and valuable method for predicting critical process parameters in RSW.

关键词： Resistance spot welding(RSW) Nugget diameter prediction Multi-fidelity neural networks Transfer learning

Al-enabled properties distribution prediction for high-pressure die casting Al-Si alloy

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Advances in Manufacturing 2024年第3期12卷 591-602页

作者： Yu-Tong Yang Zhong-Yuan Qiu Zhen Zheng Liang-Xi Pu Ding-Ding Chen Jiang Zheng Rui-Jie Zhang Bo Zhang shi-yao huang Key Laboratory for Light-Weight Materials Nanjing Tech UniversityNanjing211816People’s Republic of China Xi’an Jiaotong-Liverpool University Suzhou215000JiangsuPeople’s Republic of China Materials Academy JITRI Suzhou215100JiangsuPeople’s Republic of China Key Laboratory for Light-weight Materials Nanjing University of Science and TechnologyNanjing210009People’s Republic of China College of Materials Science and Engineering Chongqing UniversityChongqing400044People’s Republic of China Collaborate Innovation Center of Steel Technology University of Science and Technology BeijingBeijing100083People’s Republic of China Chongqing Millison Technologies Inc. Chongqing401321People’s Republic of China

High-pressure die casting(HPDC)is one of the most popular mass production processes in the automotive industry owing to its capability for part ***,the nonuniform distribution of mechanical properties in large-sized HPDC products adds complexity to part property ***,a methodology for property prediction must be *** characterization,simulation technologies,and artificial intelligence(AI)algorithms were ***,an image recognition technique was employed to construct a temperature-microstructure characteristic model for a typical HPDC Al7Si0.2Mg ***,a porosity/microstructure-mechanical property model was established using a machine learning method based on the finite element method and representative volume element model ***,the computational results of the casting simulation software were mapped with the porosity/microstructure-mechanical property model,allowing accurate prediction of the property distribution of the HPDC Al-Si *** AI-enabled property distribution model developed in this study is expected to serve as a foundation for intelligent HPDC part design platforms in the automotive industry.

关键词： Artificial intelligence(AI) Properties prediction High-pressure die-casting(HPDC) Image recognition Machine learning

Identifying the dynamic behaviors in complete reconstruction of Co-based complex precatalysts during electrocatalytic oxygen evolution

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Journal of Energy Chemistry 2025年第1期100卷 226-233页

作者： Jingfang Zhang Danyang Wu Linke Cai Youluan Lu Fanpeng Cheng Lijuan shi Qun Yi yao Liu Yi huang Key Laboratory of Green Chemical Engineering Process of Ministry of Education Engineering Research Center of Phosphorus Resources Development and Utilization of Ministry of Education Hubei Key Laboratory of Novel Reactor and Green Chemical Technology School of Chemical Engineering & Pharmacy Wuhan Institute of Technology Key Laboratory of Pesticide & Chemical Biology of Ministry of Education Engineering Research Center of Photoenergy Utilization for Pollution Control and Carbon Reduction of Ministry of Education College of Chemistry Central China Normal University College of Materials Science and Engineering Fuzhou University

Transition metal-based nanomaterials have emerged as promising electrocatalysts for oxygen evolution reaction（OER）. Considerable research efforts have shown that self-reconstruction occurs on these nanomaterials under operating conditions of OER process. However, most of them undergo incomplete reconstruction with limited thickness of reconstruction layer, leading to low component utilization and arduous exploration of real catalytic mechanism. Herein, we identify the dynamic behaviors in complete reconstruction of Co-based complexes during OER. The hollow phytic acid（PA） cross-linked CoFe-based complex nanoboxes with porous nanowalls are designed because of their good electrolyte penetration and mass transport ability, in favor of the fast and complete reconstruction. A series of experiment characterizations demonstrate that the reconstruction process includes the fast substitution of PA by OH-to form Co（Fe）(OH)xand subsequent potential-driven oxidation to Co（Fe）OOH. The obtained CoFeOOH delivers a low overpotential of 290 mV at a current density of 10 mA cm-2and a long-term *** experiment results together with theory calculations reveal that the Fe incorporation can result in the electron rearrangement of reconstructed CoFeOOH and optimization of their electronic structure,accounting for the enhanced OER activity. The work provides new insights into complete reconstruction of metal-based complexes during OER and offers guidelines for rational design of high-performance electrocatalysts.

关键词： Complete reconstruction Co-based complex Precatalysts Oxygen evolution reaction

Quantifying the impacts of human mobility restriction on the spread of coronavirus disease 2019:an empirical analysis from 344 cities of China

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Chinese Medical Journal 2021年第20期134卷 2438-2446页

作者： Jing Tan Shao-Yang Zhao Yi-Quan Xiong Chun-Rong Liu shi-yao huang Xin Lu Lehana Thabane Feng Xie Xin Sun Wei-Min Li Chinese Evidence-Based Medicine Center National Clinical Research Center for GeriatricsWest China HospitalSichuan UniversityChengduSichuan 610041China Department of Health Research Methods Evidenceand ImpactMcMaster UniversityHamiltonOntario L8S 4L8Canada Biostatistics Unit St Joseph’s Healthcare-HamiltonOntario L8S 4L8Canada School of Economics Sichuan UniversityChengduSichuan 610041China College of Systems Engineering National University of Defense TechnologyChangshaHunan 410073China Department of Global Public Health Karolinska InstituteStockholmSweden Center for Health Economics and Policy Analysis Department of Health Research MethodsEvidenceand ImpactMcMaster UniversityHamiltonOntario L8S 4L8Canada Department of Respiratory and Critical Care Medicine West China HospitalSichuan UniversityChengduSichuan 610041China

Background:Since the outbreak of coronavirus disease 2019(COVID-19),human mobility restriction measures have raised controversies,partly because of the inconsistent *** empirical study is promptly needed to reliably assess the causal effects of the mobility *** purpose of this study was to quantify the causal effects of human mobility restriction on the spread of ***:Our study applied the difference-in-difference(DID)model to assess the declines of population mobility at the city level,and used the log-log regression model to examine the effects of population mobility declines on the disease spread measured by cumulative or new cases of COVID-19 over time after adjusting for ***:The DID model showed that a continual expansion of the relative declines over time in *** 4 weeks,population mobility declined by-54.81%(interquartile range,-65.50%to-43.56%).The accrued population mobility declines were associated with the significant reduction of cumulative COVID-19 cases throughout 6 weeks(ie,1%decline of population mobility was associated with 0.72%[95%CI:0.50%-0.93%]reduction of cumulative cases for 1 week,1.42%2 weeks,1.69%3 weeks,1.72%4 weeks,1.64%5 weeks,and 1.52%6 weeks).The impact on the weekly new cases seemed greater in the first 4 weeks but faded *** effects on cumulative cases differed by cities of different population sizes,with greater effects seen in larger ***:Persistent population mobility restrictions are well *** of mobility restrictions in major cities with large population sizes may be even more important.

关键词： Coronavirus disease 2019 Mobility restriction Disease spread Causal effects

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多因素证券组合投资最优决策的加权集成方法

系统工程理论与实践 2001年第8期21卷 87-91,110页

作者：田军黄登仕郭耀煌西南交通大学经济管理学院成都610031

针对证券收益率受市场系统性与非系统性影响的特点 ,建立了证券组合投资的风险偏好最优化模型 ,并通过加权集成方法及消元法求出了该模型的解。

关键词：证券组合投资理论最优决策加权集成风险

孔隙和α-Al(Fe/Mn)Si相对高压压铸Al-7Si-0.2Mg合金塑性的影响

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Transactions of Nonferrous Metals Society of China 2024年第2期34卷 378-391页

作者：杨雨童黄诗尧郑江杨莉程晓农陈睿凯韩维建西交利物浦大学化学系苏州215000 长三角先进材料研究院苏州215000 南京工业大学先进轻质高性能材料研究中心南京210009 重庆大学材料科学与工程学院重庆400044 江苏大学材料科学与工程学院镇江212013 智己汽车科技有限公司上海200020

采用高压压铸工艺制备两批次不同尺寸的Al-7Si-0.2Mg(质量分数,%)合金,获得显微组织和孔隙非均匀分布的薄壁铸件,并对比研究孔隙和显微组织对铸态合金塑性的影响。结果表明:不同铸件和不同位置样品的伸长率有较大波动(9.7%~17.9%)。当... 详细信息

采用高压压铸工艺制备两批次不同尺寸的Al-7Si-0.2Mg(质量分数,%)合金,获得显微组织和孔隙非均匀分布的薄壁铸件,并对比研究孔隙和显微组织对铸态合金塑性的影响。结果表明:不同铸件和不同位置样品的伸长率有较大波动(9.7%~17.9%)。当合金存在大面积孔隙时,有效承载面积减小导致由孔隙产生的应力集中使合金伸长率显著降低。当合金只存在小面积孔隙时,塑性变形过程中合金中的α-Al(Fe/Mn)Si相先于共晶硅相发生脆性断裂,α-Al(Fe/Mn)Si相的数量密度对伸长率的波动起主导作用,具有高数量密度α-Al(Fe/Mn)Si相试样的伸长率显著降低。此外,局部较高的冷却速率导致铸件α-Al(Fe/Mn)Si相数量密度的增加。

关键词：高压压铸 Al-7Si-0.2Mg合金孔隙 α-Al(Fe/Mn)Si相塑性

Cobalamin-dependent radical S-adenosyl-L-methionine protein functions with a partner to successively methylate tricyclic indole alkaloid for chuangxinmycin maturation and derivatization

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Science China Chemistry 2025年第1期 308-316页

作者： Sili Wang Jiancheng huang Yanan Du Wei huang Yufeng Xue Xiaokun Xu Guannan Zhong Yuanyuan shi Bin Hong Xiaoying Bian Wen Liu State Key Laboratory of Chemical Biology Shanghai Institute of Organic Chemistry University of Chinese Academy of SciencesChinese Academy of Sciences State Key Laboratory of Microbial Technology Shandong University National Health Commission (NHC) Key Laboratory of Biotechnology for Microbial Drugs Institute of Medicinal BiotechnologyChinese Academy of Medical Science & Peking Union Medical College

Cobalamin(Cbl)-dependent radical S-adenosyl-L-methionine(SAM) proteins constitute the largest collection of the radical SAM superfamily that has hundreds of thousands of individual members. Many of these proteins are involved in the biosynthesis of pharmaceutically important natural products to catalyze chemically demanding reactions. In the biosynthetic pathway of chuangxinmycin(CXM), a unique indole alkaloid antibiotic with potent anti-infective activity, functionalization of the characteristic thiopyrano[4,3,2-cd]indole scaffold by regio-and stereoselective C3-methylation is believed to rely on a Cbl-dependent radical process, which, however, remained to be reconstituted biochemically. We here report the dissection of this enzymatic process, which requires the incorporation of Cxm8, a Cbl-dependent radical SAM protein, with Cxm9, a DUF5825family protein that shares no homology to any proteins of known functions. Cxm8 and Cxm9 function together by forming an unexpected heterodimeric complex that selectively catalyzes C3-methylation of the tricyclic indole-S-hetero ring system in a successive manner, achieving CXM and a recently identified, C3-dimethylated congener. Detailed biochemical characterization,isotope labeling, structural simulation and bioinformatics analysis rationalized the catalysis of the Cxm8/Cxm9 complex and particularly the necessity of the DUF5825 protein for C3-methylase activity. This is the first example that a Cbl-dependent protein acts with a partner to exhibit radical SAM activity.

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High Fe‑Loading Single‑Atom Catalyst Boosts ROS Production by Density Effect for Efficient Antibacterial Therapy

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Nano-Micro Letters 2025年第2期17卷 187-203页

作者： Si Chen Fang huang Lijie Mao Zhimin Zhang Han Lin Qixin Yan Xiangyu Lu Jianlin shi Department of Cardiology Shanghai Tenth People’s HospitalSchool of MedicineTongji UniversityShanghai 200092People’s Republic of China Shanghai Institute of Ceramics Chinese Academy of SciencesShanghai 200050People’s Republic of China Shanghai Frontiers Science Center of Nanocatalytic Medicine School of MedicineTongji UniversityShanghai 200092People’s Republic of China

The current single-atom catalysts(SACs)for medicine still suffer from the limited active site ***,we develop a synthetic method capable of increasing both the metal loading and mass-specific activity of SACs by exchanging zinc with *** constructed iron SACs(h^(3)-FNC)with a high metal loading of 6.27 wt%and an optimized adjacent Fe distance of~4 A exhibit excellent oxidase-like catalytic performance without significant activity decay after being stored for six months and promising antibacterial ***,a“density effect”has been found at a high-enough metal doping amount,at which individual active sites become close enough to interact with each other and alter the electronic structure,resulting in significantly boosted intrinsic activity of single-atomic iron sites in h^(3)-FNCs by 2.3 times compared to low-and medium-loading ***,the overall catalytic activity of h^(3)-FNC is highly improved,with mass activity and metal mass-specific activity that are,respectively,66 and 315 times higher than those of commercial Pt/*** addition,h^(3)-FNCs demonstrate efficiently enhanced capability in catalyzing oxygen reduction into superoxide anion(O_(2)·^(−))and glutathione(GSH)*** in vitro and in vivo assays demonstrate the superior antibacterial efficacy of h^(3)-FNCs in promoting wound *** work presents an intriguing activity-enhancement effect in catalysts and exhibits impressive therapeutic efficacy in combating bacterial infections.

关键词： Nanocatalytic medicine Single-atom catalysts Reactive oxygen species(ROS) High metal loading Oxidase catalysis

Modulation of dopamine release by action potential pattern in striatum in vivo

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Modulation of dopamine release by action potential pattern i...