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Generating synthetic as-built additive manufacturing surface topography using progressive growing generative adversarial networks

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Friction 2024年第6期12卷 1283-1298页

作者： Junhyeon SEO Prahalada RAO Bart RAEYMAEKERS Department of Mechanical Engineering Virginia TechBlacksburgVA 24061USA Grado Department of Industrial and Systems Engineering Virginia TechBlacksburgVA 24061USA

Numerically generating synthetic surface topography that closely resembles the features and characteristics of experimental surface topography measurements reduces the need to perform these intricate and costly ***,existing algorithms to numerically generated surface topography are not well-suited to create the specific characteristics and geometric features of as-built surfaces that result from laser powder bed fusion(LPBF),such as partially melted metal particles,porosity,laser scan lines,and ***,we present a method to generate synthetic as-built LPBF surface topography maps using a progressively growing generative adversarial *** qualitatively and quantitatively demonstrate good agreement between synthetic and experimental as-built LPBF surface topography maps using areal and deterministic surface topography parameters,radially averaged power spectral density,and material ratio *** ability to accurately generate synthetic as-built LPBF surface topography maps reduces the experimental burden of performing a large number of surface topography ***,it facilitates combining experimental measurements with synthetic surface topography maps to create large data-sets that facilitate,*** as-built surface topography to LPBF process parameters,or implementing digital surface twins to monitor complex end-use LPBF parts,amongst other applications.

关键词： additive manufacturing surface topography synthetic surface topography generative adversarial networks

Exploring innovative techniques for damage control during natural disasters

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Journal of Safety Science and Resilience 2024年第2期5卷 147-155页

作者： Moinak Maiti Parthajit Kayal Departnent of Finance School of Economics and FinanceUniversity of the WitwatersrandJohannesburgSouth Africa Madras School of Economics(MSE) Gandhi Mandapam RoadBehind Govermment Data CentreKotturChennai 600025India

The study critically examines the principles,mechanisms,and effectiveness of different damage control tech-niques in dealing with natural disasters,emphasizing their pivotal role in minimizing casualties and economic *** of these damage control techniques is mapped based on their applications and relevance in the key areas of natural disaster *** utilizing various real-world instances,the present study shows that the effective implementation of various innovative techniques is shaping the space of natural disaster management in a global *** integration of different innovative techniques into the existing natural disaster management system has improved the survival rate,economic performance,and sustainable *** study finds that innovative disaster financing models,clear strategies,and creating awareness among communities can improve the overall efficiency of innovative techniques that are currently used for damage control during natural disaster *** the substantial advantages of these creative strategies,the study acknowledges challenges such as financial constraints,unclear policy goals,and community adaptation *** study also indicates that in the future,automatic damage restoration,quick prototyping,and additive engineering will play a vital role in controlling damage from catastrophic events,while it acknowledges limitations in temporal scope,generaliz-ability,andfinancial constraints.

关键词： GIS 3D printing technology Self-healingmaterials Digital twin models Disasters financing

A Health State Prediction Model Based on Belief Rule Base and LSTM for Complex Systems

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Intelligent Automation & Soft Computing 2024年第1期39卷 73-91页

作者： Yu Zhao Zhijie Zhou Hongdong Fan Xiaoxia Han JieWang Manlin Chen High-tech Institute of Xi’an Xi’an710025China

In industrial production and engineering operations,the health state of complex systems is critical,and predicting it can ensure normal *** systems have many monitoring indicators,complex coupling structures,non-linear and time-varying characteristics,so it is a challenge to establish a reliable prediction *** belief rule base(BRB)can fuse observed data and expert knowledge to establish a nonlinear relationship between input and output and has well modeling *** each indicator of the complex system can reflect the health state to some extent,the BRB is built based on the causal relationship between system indicators and the health state to achieve the prediction.A health state prediction model based on BRB and long short term memory for complex systems is proposed in this ***,the LSTMis introduced to predict the trend of the indicators in the ***,the Density Peak Clustering(DPC)algorithmis used todetermine referential values of indicators for BRB,which effectively offset the lack of expert ***,the predicted values and expert knowledge are fused to construct BRB to predict the health state of the systems by ***,the effectiveness of the model is verified by a case study of a certain vehicle hydraulic pump.

关键词： Health state predicftion complex systems belief rule base expert knowledge LSTM density peak clustering

Identifying multidisciplinary problems from scientific publications based on a text generation method

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JOURNAL OF data AND INFORMATION SCIENCE 2024年第3期9卷 213-237页

作者： Xu, Ziyan Han, Hongqi Li, Linna Zhang, Junsheng Zhou, Zexu Inst Sci & tech Informat China Beijing 100038 Peoples R China

Purpose A text generation based multidisciplinary problem identification method is proposed, which does not rely on a large amount of data ***/methodology/approach The proposed method first identifies the research objective types and disciplinary labels of papers using a text classification technique; second, it generates abstractive titles for each paper based on abstract and research objective types using a generative pre-trained language model; third, it extracts problem phrases from generated titles according to regular expression rules; fourth, it creates problem relation networks and identifies the same problems by exploiting a weighted community detection algorithm; finally, it identifies multidisciplinary problems based on the disciplinary labels of *** Experiments in the "Carbon Peaking and Carbon Neutrality" field show that the proposed method can effectively identify multidisciplinary research problems. The disciplinary distribution of the identified problems is consistent with our understanding of multidisciplinary collaboration in the *** limitations It is necessary to use the proposed method in other multidisciplinary fields to validate its *** implications Multidisciplinary problem identification helps to gather multidisciplinary forces to solve complex real-world problems for the governments, fund valuable multidisciplinary problems for research management authorities, and borrow ideas from other disciplines for ***/value This approach proposes a novel multidisciplinary problem identification method based on text generation, which identifies multidisciplinary problems based on generative abstractive titles of papers without data annotation required by standard sequence labeling techniques.

关键词： Problem identification Multidisciplinary Text generation Text classification SUBJECT CATEGORIES ARTICLES SCIENCE WEB

Flexible printed three dimensional(3D) integrated carbon nanotube complementary metal oxide semiconductor(CMOS) thin film transistors and circuits

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Science China(Information Sciences) 2024年第09期67卷 280-293页

作者： Zhaofeng CHEN Jiaqi LI Min LI Hongxuan GUO Jianwen ZHAO SEU-FEI Nano-Pico center Key Laboratory of MEMS of Ministry of Education Southeast University Printable Electronics Research center Division of Nanodevices and Related NanomaterialsSuzhou Institute of Nano-Tech and Nano-Bionics Chinese Academy of Sciences School of Nano technology and Nano Bionics University of Science and Technology of China

The threshold voltage modulation of carbon nanotube thin-film transistors（TFTs） and flexible three-dimensional（3D） integration circuits has become hot research topics for carbon-based electronics. In this paper, a doping-free gate electrode technology is introduced to significantly modulate the threshold voltage of polymer-sorted semiconducting single-walled carbon nanotube（sc-SWCNT） TFTs in combination with the highly effective gate-controlling ability of solid-state electrolyte thin films as the dielectrics. A systematic investigation was conducted on the impact of printed silver, evaporated silver, and evaporated aluminum（Al） gate electrodes on the threshold voltage of flexible printed bottom-gate and top-gate SWCNT TFTs. The results indicate that the SWCNT TFTs with Al gate electrodes exhibit enhancement-mode characteristics with excellent electrical properties, such as the negative threshold voltages（-0.6 V）, high Ion/Ioff（up to 10～6）, low subthreshold swing(61.4 mV · dec-1), and small hysteresis. It is attributed to either the formation of lower work function thin films（Al2O3） at the electrode/dielectric layer interfaces through the natural oxidation of the Al bottom-gate electrodes or the dipole reaction of the Al top-gate electrodes from X-ray photoelectron spectroscopy（XPS） and ultraviolet photoelectron spectroscopy（UPS） data. In addition, 3D complementary metal-oxide-semiconductor（CMOS） inverters with common gate electrodes were constructed using the resulting enhancement-mode P-type SWCNT TFTs and matched N-type SWCNT TFTs, which shows high voltage gain（34）, rail-to-rail output and high noise margins(80.04%, VDD=-1 V)as well good mechanical flexibility at low operation voltages. It demonstrates that SWCNT TFTs have great advantages for building large-scale 3D flexible integrated circuits.

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Machine learning with active pharmaceutical ingredient/polymer interaction mechanism:Prediction for complex phase behaviors of pharmaceuticals and formulations

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Chinese Journal of Chemical Engineering 2024年第2期66卷 263-272页

作者： Kai Ge Yiping Huang Yuanhui Ji Jiangsu Province Hi-tech Key Laboratory for Biomedical Research School of Chemistry and Chemical EngineeringSoutheast UniversityNanjing 211189China

The high throughput prediction of the thermodynamic phase behavior of active pharmaceutical ingredients(APIs)with pharmaceutically relevant excipients remains a major scientific challenge in the screening of pharmaceutical *** this work,a developed machine-learning model efficiently predicts the solubility of APIs in polymers by learning the phase equilibrium principle and using a few molecular *** the few-shot learning framework,thermodynamic theory(perturbed-chain statistical associating fluid theory)was used for data augmentation,and computational chemistry was applied for molecular descriptors'*** results showed that the developed machine-learning model can predict the API-polymer phase diagram accurately,broaden the solubility data of APIs in polymers,and reproduce the relationship between API solubility and the interaction mechanisms between API and polymer successfully,which provided efficient guidance for the development of pharmaceutical formulations.

关键词： Multi-task machine learning Density functional theory Hydrogen bond interaction Miscibility Solubility

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On asymptotic stability of the 3D Boussinesq equations without heat conduction

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Science China Mathematics 2024年第2期67卷 253-280页

作者： Lihua Dong Yongzhong Sun School of Physical and Mathematical Sciences Nanjing Tech UniversityNanjing 211816China Department of Mathematics Nanjing UniversityNanjing 210093China

We investigate the asymptotic stability of the solutions to Boussinesq equations without heat conduction with the initial data near a specific stationary solution in the three-dimensional domain Ω=R^(2)×(0,1).It is shown that the solution starting from a small perturbation to the stationary solution converges to it with explicit algebraic rates as time tends to infinity.

关键词： Boussinesq equations stationary solutions asymptotic stability decay rates

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Short-time maritime target detection based on polarization scattering characteristics

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Journal of Systems Engineering and Electronics 2024年第1期35卷 55-64页

作者： CHEN Shichao LUO Feng TIAN Min LYU Wanghan College of Computer and Information Engineering(College of Artificial Intelligence) Nanjing Tech UniversityNanjing 211816China Hangzhou Institute of technology Xidian UniversityHangzhou 311200China

In this paper,a detection method combining Cameron decomposition based on polarization scattering characteristics in sea clutter background is ***,the Cameron decomposition is exploited to fuse the radar echoes of full polarization channels at the data *** to the artificial material structure on the surface of the target,it can be shown that the non-reciprocity of the target cell is stronger than that of the clutter ***,based on the analysis of the decomposition results,a new feature with scattering geometry characteristics in polarization domain,denoted as Cameron polarization decomposition scattering weight(CPD-SW),is extracted as the test statistic,which can achieve more detailed descriptions of the clutter scattering characteristics utilizing the difference between their scattering ***,the superiority of the proposed CPD-SW detector over traditional detectors in improving detection performance is verified by the IPIX measured dataset,which has strong stability under short-time observation in threshold detection and can also improve the separability of feature space zin anomaly detection.

关键词： sea clutter small target radar detection Cameron decomposition characteristics analysis

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通过烷基官能化的框架材料调控SP@Tb-MOFs的动态荧光材料性能并探究其在时间分辨信息加密中的应用

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Science China Materials 2024年第8期67卷 2590-2599页

作者：朱姜昆卫尤豪高阳旸倪骅程蔡海涛武聪浩杨玉慧 School of Materials Science and Engineering Zhejiang Sci-Tech UniversityHangzhou 310018China Department of Polymer Materials Zhejiang Sci-Tech UniversityHangzhou 310018China Institute of Smart Biomedical Materials Zhejiang Sci-Tech UniversityHangzhou 310018China

动态荧光材料在数据存储和防伪技术领域受到广泛关注.在此,我们提出了一种得到动态荧光材料的新方法,即在烷基链修饰的镧系金属有机框架(Ln-MOFs)中引入螺吡喃(SP)分子.烷基化配体既可用作桥接配体,也可用作结构导向剂,以调节镧系金属... 详细信息

动态荧光材料在数据存储和防伪技术领域受到广泛关注.在此,我们提出了一种得到动态荧光材料的新方法,即在烷基链修饰的镧系金属有机框架(Ln-MOFs)中引入螺吡喃(SP)分子.烷基化配体既可用作桥接配体,也可用作结构导向剂,以调节镧系金属有机框架的形态.通过控制烷基链的长度,可以调整Tb-MOFs的形态,从而进一步调节复合体系的光致变色行为.当烷基链较短时,复合体系只能发出黄色或者绿色的光.只有SP@Tb-MOF-10C能在545 nm波长处发出Tb^(3+)的绿色发射,在650 nm波长处发出SP的红色发射.在365 nm紫外光的持续照射下,SP分子发生了光异构化过程,变成了开环形式,从而导致Tb-MOF与其光异构体(MC)之间发生了显著的荧光共振能量转移(FRET).在白光照射下,这些复合材料的动态荧光行为可完全恢复到初始状态.此外,本文通过将该复合体系掺杂聚二甲基硅氧烷(PDMS),制备了复合薄膜,并探究了其在防伪标签和时间分辨动态加密方面的应用.

关键词：信息加密防伪标签金属有机框架荧光材料动态加密光异构化防伪技术时间分辨