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Polymerized-ionic-liquid-based solid polymer electrolyte for ultra-stable lithium metal batteries enabled by structural design of monomer and crosslinked 3D network
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作者 Lingwang Liu Jiangyan Xue +14 位作者 Yiwen Gao Shiqi Zhang Haiyang Zhang Keyang Peng Xin Zhang Suwan Lu Shixiao Weng Haifeng Tu Yang Liu Zhicheng Wang Fengrui Zhang Daosong Fu Jingjing Xu Qun Luo Xiaodong Wu 《Materials Reports(Energy)》 2025年第1期61-69,共9页
Solid polymer electrolytes(SPEs)have attracted much attention for their safety,ease of packaging,costeffectiveness,excellent flexibility and stability.Poly-dioxolane(PDOL)is one of the most promising matrix materials ... Solid polymer electrolytes(SPEs)have attracted much attention for their safety,ease of packaging,costeffectiveness,excellent flexibility and stability.Poly-dioxolane(PDOL)is one of the most promising matrix materials of SPEs due to its remarkable compatibility with lithium metal anodes(LMAs)and suitability for in-situ polymerization.However,poor thermal stability,insufficient ionic conductivity and narrow electrochemical stability window(ESW)hinder its further application in lithium metal batteries(LMBs).To ameliorate these problems,we have successfully synthesized a polymerized-ionic-liquid(PIL)monomer named DIMTFSI by modifying DOL with imidazolium cation coupled with TFSI^(-)anion,which simultaneously inherits the lipophilicity of DOL,high ionic conductivity of imidazole,and excellent stability of PILs.Then the tridentate crosslinker trimethylolpropane tris[3-(2-methyl-1-aziridine)propionate](TTMAP)was introduced to regulate the excessive Li^(+)-O coordination and prepare a flame-retardant SPE(DT-SPE)with prominent thermal stability,wide ESW,high ionic conductivity and abundant Lit transference numbers(t_(Li+)).As a result,the LiFePO_(4)|DT-SPE|Li cell exhibits a high initial discharge specific capacity of 149.60 mAh g^(-1)at 0.2C and 30℃with a capacity retention rate of 98.68%after 500 cycles.This work provides new insights into the structural design of PIL-based electrolytes for long-cycling LMBs with high safety and stability. 展开更多
关键词 Polymerized ionic liquid Solid polymer electrolyte Structural design Crosslinked 3d network Lithium metal battery
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Integration of CityGML and Oracle Spatial for implementing 3D network analysis solutionsand routing simulation within 3D-GIS environment 被引量:1
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作者 Umit ATILA Ismail Rakip KARAS Alias ABDUL-RAHMAN 《Geo-Spatial Information Science》 SCIE EI 2013年第4期221-237,共17页
3D navigation within a 3D-GIS environment is increasingly getting more popular and spreading to various fields.In thelast decade,especially after the 9/11 disaster,evacuating the complex and tall buildings of today in... 3D navigation within a 3D-GIS environment is increasingly getting more popular and spreading to various fields.In thelast decade,especially after the 9/11 disaster,evacuating the complex and tall buildings of today in case of emergencyhas been an important research area for scientists.Most of the current navigation systems are still in the 2D environmentand that is insufficient to visualize 3D objects and to obtain satisfactory solutions for the 3D environment.Therefore,there is currently still a lack of implementation of 3D network analysis and navigation for indoor spaces in respect toevacuation.The objective of this paper is to investigate and implement 3D visualization and navigation techniques andsolutions for indoor spaces within 3D-GIS.For realizing this,we have proposed a GIS implementation that is capable ofcarrying out 3D visualization of a building model stored in the CityGML format and perform analysis on a networkmodel stored in Oracle Spatial.The proposed GUI also provides routing simulation on the calculated shortest paths withvoice commands and visual instructions. 展开更多
关键词 3d-GIS 3d network analysis indoor navigation EVACUATION
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3D网络结构粉煤灰微珠@碳纳米管微球的制备及吸波性能研究
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作者 张晓民 仝粮语 +3 位作者 高红洁 陈垿 闫虎虎 高阳 《无机材料学报》 北大核心 2026年第2期208-216,I0004,共10页
随着5G通信和电子设备小型化的快速发展,开发轻量化、宽频高效电磁波吸收材料成为解决电磁污染与信息泄露问题的关键。传统吸波材料面临密度高、吸收频带窄及环境相容性差等瓶颈,而工业固废资源化利用为高性能吸波材料设计提供了兼具经... 随着5G通信和电子设备小型化的快速发展,开发轻量化、宽频高效电磁波吸收材料成为解决电磁污染与信息泄露问题的关键。传统吸波材料面临密度高、吸收频带窄及环境相容性差等瓶颈,而工业固废资源化利用为高性能吸波材料设计提供了兼具经济与生态效益的创新路径。本研究以燃煤电厂固废粉煤灰为原料,通过磁选富集获得磁性粉煤灰(MFA)微珠,利用其表面原位负载的Fe基纳米颗粒作为催化剂,采用化学气相沉积(CVD)法成功构筑了具有3D网络结构的磁性粉煤灰微珠@碳纳米管微球(MFA@CNTs)复合吸波材料。微观结构表征表明,MFA微珠表面生长的竹节状CNTs通过管间缠绕与硅酸盐骨架桥接形成多孔结构。吸波性能测试表明,复合材料在8.8 GHz处获得最小反射损耗(RLmin),达到-44.52 dB(厚度为2.99 mm),有效吸收带宽(EAB,RL<-10 dB)覆盖4.72 GHz(厚度1.7 mm)。电磁吸波性能提升机制源于:(1)MFA微珠的磁性组分(Fe_(3)O_(4))与CNTs的导电网络形成磁-电耦合效应,优化阻抗匹配;(2)竹节状CNTs的缺陷结构诱导多重极化弛豫(界面极化、偶极极化),增强介电损耗;(3)3D多孔网络延长电磁波传播路径,促进多重反射与散射损耗。本研究不仅为工业固废高值化利用提供了新范式,也为轻量化宽频吸波材料设计奠定了理论与技术基础。 展开更多
关键词 粉煤灰微珠@碳纳米管微球 3d网络结构 电磁波吸收
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基于图神经网络的直接能量沉积工艺3D工件全局残余应力场预测
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作者 李玉梅 陈健 +2 位作者 李亚冠 陈韵之 聂振国 《机械工程学报》 北大核心 2026年第1期421-435,共15页
增材制造过程产生的残余应力导致工件发生变形、开裂以及多种结构缺陷,在工业应用中严重制约了金属工件的形状控制与性能稳定性。提出了一种基于图神经网络的直接能量沉积工艺残余应力预测方法,该方法首先通过有限元计算将红外热像仪和... 增材制造过程产生的残余应力导致工件发生变形、开裂以及多种结构缺陷,在工业应用中严重制约了金属工件的形状控制与性能稳定性。提出了一种基于图神经网络的直接能量沉积工艺残余应力预测方法,该方法首先通过有限元计算将红外热像仪和结构光相机构建的3D工件表面温度场计算为3D工件全局温度场,然后利用图神经网络建立打印结束时瞬态温度场与冷却后残余应力场之间的映射关系,从而实现对工件冷却后3D全局残余应力场的快速预测。验证实验结果表明,所提出的方法能够在2 s预测不同形状和边界条件工件的3D全局残余应力场,比有限元计算速度提高大约7 200倍,平均相对误差为13.72%,满足实时性与准确性的双重需求。此外,通过对比实验得出,使用温度梯度场预测残余应力场比直接使用温度场预测更准确,整体精度提升28.61%。所提出的方法为AM过程中工艺参数动态调整提供了可行性数据支持。 展开更多
关键词 增材制造 残余应力 图神经网络 3d全局残余应力场 温度梯度场
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基于ARGA-3D CNN的铅冷快堆三维中子通量预测方法研究
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作者 杨子辉 莫紫雯 +4 位作者 李中阳 孙国民 李兆东 戈道川 郁杰 《核技术》 北大核心 2026年第2期109-119,共11页
中子通量的三维预测对反应堆堆芯的设计、优化和安全分析至关重要,但由于微小型铅冷快堆空间紧凑且探测器布置困难,现有方法多集中在二维层面,较少关注三维通量的预测。本文提出了一种融合残差网络(Residual Network,ResNet)与多头自注... 中子通量的三维预测对反应堆堆芯的设计、优化和安全分析至关重要,但由于微小型铅冷快堆空间紧凑且探测器布置困难,现有方法多集中在二维层面,较少关注三维通量的预测。本文提出了一种融合残差网络(Residual Network,ResNet)与多头自注意力机制(Multi-head Self Attention,MSA)的三维卷积神经网络(Genetic Algorithm-Enhanced 3D Convolutional Neural Network with Multi-Head Self-Attention and Residual Connections,ARGA-3D CNN)模型,该模型可以有效捕捉堆芯中子通量的空间分布特征,解决空间依赖性问题。通过ResNet缓解梯度消失与爆炸,增强训练稳定性,同时借助MSA强化关键区域识别。此外,采用遗传算法优化超参数,进一步提升堆芯中子通量预测精度。实验基于蒙特卡罗粒子输运模拟软件SuperMC计算结果构建数据集,并用该数据集训练与优化ARGA-3D CNN模型进行预测。结果显示,该模型预测值与SuperMC计算结果对比,在平均绝对误差(Mean Absolute Error,MAE)、均方误差(Mean Squared Error,MSE)和决定系数(R2)指标上分别达到了3.19×10^(-6)、2.14×10^(-11)和0.973 5,计算效率有显著提升,单次预测仅耗时秒级,相比卷积神经网络(Convolutional Neural Network,CNN)、人工神经网络(Artificial Neural Network,ANN)、长短时记忆网络(Long Short-Term Memory,LSTM)以及Transformer等模型,预测效果更优。表明ARGA-3D CNN模型在三维中子通量预测中具有较高的精度和计算效率,为核反应堆堆芯参数的快速预测提供了新方法,具有一定的实用价值及意义。 展开更多
关键词 铅冷快堆 中子通量 三维卷积神经网络 多头自注意力机制 残差网络 遗传算法
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Building Efficient 3D Networks in Polymer Blends by Controlled Capillary Bridging-Induced Particle Agglomeration 被引量:1
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作者 Lijun Ye Ying Tao +4 位作者 Hangchen Cai Xiaokan Wang Liping Yang Yaquan Wang Yongjin Li 《Polymer Science & Technology》 2025年第7期632-639,共8页
Multiphase polymer composites offer a versatile platform for constructing efficient 3D conductive networks by regulating filler distribution.However,controlling the spatial distribution and network formation of 2D fil... Multiphase polymer composites offer a versatile platform for constructing efficient 3D conductive networks by regulating filler distribution.However,controlling the spatial distribution and network formation of 2D fillers like boron nitride(BN)flakes in immiscible polymer blends remains a major challenge for achieving efficient thermal conductivity.This work introduces a strategy to regulate the cross-linking degree of low-density polyethylene(LDPE)in poly(L-lactic acid)(PLLA)/LDPE blends,enabling effective control over BN localization.BN flakes preferentially localize in the LDPE phase,forming double-percolated networks across broad blend compositions.Controlled LDPE cross-linking suppresses domain coalescence and promotes a secondary segregated BN network via capillary bridginginduced agglomeration.This manipulation of domain viscoelasticity enhances 3D filler network formation,increasing the maximum through-plane thermal conductivity of the polymer composites from 2.02 to 2.58 W m^(−1) K^(−1).Our findings offer a facile route for tailoring 3D filler networks in multiphase polymer composites for improved thermal conduction. 展开更多
关键词 3d conductive network double-percolated structures cross-linking capillary force thermal transport
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Generation of SARS-CoV-2 dual-target candidate inhibitors through 3D equivariant conditional generative neural networks 被引量:1
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作者 Zhong-Xing Zhou Hong-Xing Zhang Qingchuan Zheng 《Journal of Pharmaceutical Analysis》 2025年第6期1291-1310,共20页
Severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)mutations are influenced by random and uncontrollable factors,and the risk of the next widespread epidemic remains.Dual-target drugs that synergistically act ... Severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)mutations are influenced by random and uncontrollable factors,and the risk of the next widespread epidemic remains.Dual-target drugs that synergistically act on two targets exhibit strong therapeutic effects and advantages against mutations.In this study,a novel computational workflow was developed to design dual-target SARS-CoV-2 candidate inhibitors with the Envelope protein and Main protease selected as the two target proteins.The drug-like molecules of our self-constructed 3D scaffold database were used as high-throughput molecular docking probes for feature extraction of two target protein pockets.A multi-layer perceptron(MLP)was employed to embed the binding affinities into a latent space as conditional vectors to control conditional distribution.Utilizing a conditional generative neural network,cG-SchNet,with 3D Euclidean group(E3)symmetries,the conditional probability distributions of molecular 3D structures were acquired and a set of novel SARS-CoV-2 dual-target candidate inhibitors were generated.The 1D probability,2D joint probability,and 2D cumulative probability distribution results indicate that the generated sets are significantly enhanced compared to the training set in the high binding affinity area.Among the 201 generated molecules,42 molecules exhibited a sum binding affinity exceeding 17.0 kcal/mol while 9 of them having a sum binding affinity exceeding 19.0 kcal/mol,demonstrating structure diversity along with strong dual-target affinities,good absorption,distribution,metabolism,excretion,and toxicity(ADMET)properties,and ease of synthesis.Dual-target drugs are rare and difficult to find,and our“high-throughput docking-multi-conditional generation”workflow offers a wide range of options for designing or optimizing potent dual-target SARS-CoV-2 inhibitors. 展开更多
关键词 SARS-CoV-2 Dual-target drug 3d generative neural networks Drug design
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Assembling 3D cross-linked network by carbon nitride nanowires for visible-light photocatalytic H_(2) evolution from dyestuffs wastewater
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作者 Linyu Zhu Xu Tian +5 位作者 Guang Shi Wenchi Zhang Peisong Tang Mohamed Bououdina Sajjad Ali Pengfei Xia 《Chinese Chemical Letters》 2025年第12期561-566,共6页
Photocatalytic H_(2) evolution from wastewater exhibits fascinating prospects in environment and energy fields.Here,we propose a novel 3D cross-linked g-C_(3)N_(4) network(SCN)assembling with 1D nanowires.This network... Photocatalytic H_(2) evolution from wastewater exhibits fascinating prospects in environment and energy fields.Here,we propose a novel 3D cross-linked g-C_(3)N_(4) network(SCN)assembling with 1D nanowires.This network structure endows SCN with abundant carbon defects,creating a defect energy level and shallow charge trapping centres,which significantly prolongs the photocarrier lifetime,suppresses their recombination and facilitates the mass transfer process during the dye photodegradation.Consequently,in photocatalytic H_(2) evolution coupled with Rhodamine B(RhB)photodegradation under visible light,the H_(2) production rate of SCN is 283μmol h^(-1)g^(-1),accompanying by 97%RhB photodegradation efficiency,much higher than UCN's 31μmol h^(-1)g^(-1)and 64%.In particular,AQY of SCN for H_(2) evolution from RhB solution reaches 23.7%at 380 nm.Furthermore,the calculated transition states demonstrate that the N1 site connected to the defect in SCN has a minimum Gibbs free energy ΔG(H^(*)),indicating that H~+undergoes an H^(+)→H^(*)→H_(2) evolution process. 展开更多
关键词 Photocatalysis Carbon nitride 3d cross-linked network H_(2)evolution from wastewater Reaction mechanism
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A lignin-based polyelectrolyte with fast 3D Li^(+)transportation network
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作者 Pengfei Sun Yeqiang Zhang +4 位作者 Chengdong Fang Jinji Lan Yanping Chen Liubin Feng Jiajia Chen 《Journal of Energy Chemistry》 2025年第8期114-121,共8页
In this work,we have developed a lignin-derived polymer electrolyte(LSELi),which demonstrates exceptional ionic conductivity of 1.6×10^(-3)S cm^(−1)and a high cation transference number of 0.57 at 25°C.Time ... In this work,we have developed a lignin-derived polymer electrolyte(LSELi),which demonstrates exceptional ionic conductivity of 1.6×10^(-3)S cm^(−1)and a high cation transference number of 0.57 at 25°C.Time of flight secondary ion mass spectrometry(TOF-SIMS)analysis shows that the large-size 1-ethyl-3-methylimidazolium cations(EMIM^(+))can induce the aggregation of the anionic segments in lignosulfonate to reconstruct the three-dimensional(3D)spatial structure of polyelectrolyte,thereby forming a fluent Li^(+)transport 3D network.Dielectric loss spectroscopy further reveals that within this transport network,Li^(+)transport is decoupled from the relaxation of lignosulfonate chain segments,exhibiting characteristics of rapid Li^(+)transport.Furthermore,in-situ distribution of relaxation times analysis indicates that a stable solid electrolyte interface layer is formed at the Li plating interface with LSELi,optimizing the Li plating interface and exhibiting low charge transfer impedance and stable Li plating and stripping.Thus,a substantially prolonged cycling stability and reversibility are obtained in the Li||LSELi||Li battery at 25°C(1800 h at 0.1 mA cm^(−2),0.1 mAh cm^(−2)).At 25°C,the Li||LSELi||LiFePO_(4)cell shows 132 mAh g^(−1)of capacity with 92.7%of retention over 120 cycles at 0.1 mA cm^(−2). 展开更多
关键词 Lithium metal batteries Lignin-based polyelectrolyte 3d Li^(+)transportation network Rechargeable batteries
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结合U-Net优化和3D跟踪算法的光伏电站设备实时监测技术研究
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作者 杨志仁 《自动化应用》 2026年第3期187-190,共4页
光伏电站的可靠运作对电力供应的稳定性具有重大意义,然而,传统人工巡检方式存在效率低、时效性差等问题。为此,提出了一种创新的光伏电站设备实时监测模型,该模型通过利用扩张残差网络对U-Net进行优化,并融合三维跟踪算法,最终在电气... 光伏电站的可靠运作对电力供应的稳定性具有重大意义,然而,传统人工巡检方式存在效率低、时效性差等问题。为此,提出了一种创新的光伏电站设备实时监测模型,该模型通过利用扩张残差网络对U-Net进行优化,并融合三维跟踪算法,最终在电气设备图像数据集上进行了实验验证。实验结果表明,采用扩张残差网络(DRN)优化后的U-Net语义分割方法,其精确率、召回率和平均交并比相较于其他3种方法,分别平均提升了11.15%,9.40%,12.00%。在实际应用场景中,所提模型在晴天条件下表现最佳,追踪成功率高达98.8%,三维定位误差仅为0.07 m。同时,与阴天和遮挡场景相比,晴天场景下的平均处理时间缩短了51.78%。研究结果表明,所提模型可有效提高光伏电站设备实时监测的准确率,缩短处理时间,从而有效解决人工巡检方式效率低、实时性差的问题。 展开更多
关键词 U-Net网络 3d跟踪算法 光伏电站 核相关滤波器
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3D打印水凝胶制备电子皮肤的研究
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作者 朱庭璇 王宝琨 +2 位作者 郝盼卿 刘富 李艳 《传感器与微系统》 北大核心 2026年第1期46-51,共6页
针对传统水凝胶基电子皮肤存在的交联网络强度不足导致力学性能欠佳、易溶胀、稳定性差及多信号串扰等问题,难以满足复杂场景对器件耐久性、稳定性和高灵敏度的要求,研究了基于3D打印的高灵敏度导电水凝胶柔性电子皮肤的制备与应用。以... 针对传统水凝胶基电子皮肤存在的交联网络强度不足导致力学性能欠佳、易溶胀、稳定性差及多信号串扰等问题,难以满足复杂场景对器件耐久性、稳定性和高灵敏度的要求,研究了基于3D打印的高灵敏度导电水凝胶柔性电子皮肤的制备与应用。以明胶(Gel)为基体,引入海藻酸钠(SA)和丙烯酰胺(AM),经温度、离子和光子三重网络交联制备AM/SA/Gel复合水凝胶,其最大拉伸应变为370%,压缩强度显著提升。优化挤出式3D打印工艺(层厚100μm、紫外光原位交联、氧化钙强化)制备的传感器,可灵敏监测人体运动(手臂弯曲电阻变化率70%、腿部运动110%、嘴巴张合14%)并识别外界应力。该材料在可穿戴设备领域潜力显著,未来需平衡导电性与延展性、提升稳定性并推动多材料集成。 展开更多
关键词 3d打印 导电水凝胶 三重网络交联 柔性电子皮肤
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基于BPNN的3D打印TC4钛合金力学性能预测
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作者 唐明扬 李建 +4 位作者 杨庆峥 戴士其 段文俊 沈润泽 李润宇 《机械研究与应用》 2026年第1期170-172,共3页
该文提出了一种基于BP神经网络的3D打印TC4钛合金力学性能相关工艺参数预测方法。利用BP神经网络算法,以材料的屈服强度、抗拉强度、致密度等参数作为特征输入量,以3D打印工艺参数作为输出目标量来预测3D打印参数。研究得出:BP神经网络... 该文提出了一种基于BP神经网络的3D打印TC4钛合金力学性能相关工艺参数预测方法。利用BP神经网络算法,以材料的屈服强度、抗拉强度、致密度等参数作为特征输入量,以3D打印工艺参数作为输出目标量来预测3D打印参数。研究得出:BP神经网络算法能用更少数据集达到很好效果且能更精准预测多特征值任务的结果,验证了BP神经网络算法在3D打印参数预测方面的有效性,此结果为3D打印参数的预测提供了更高效精准的方法。 展开更多
关键词 工艺参数 BP神经网络 金属3d打印 TC4钛合金 多特征值
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增强型可逆神经网络视频隐写网络GAB3D-SEVSN
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作者 徐千惠 钮可 +2 位作者 朱顺哲 石林 李军 《计算机应用》 北大核心 2026年第2期467-474,共8页
针对小样本条件下视频隐写任务中存在的长程运动建模不足和通道冗余导致的过参数化问题,提出一种融合三维全局注意力块(GAB-3D)与压缩激励(SE)通道注意力的增强型视频隐写网络GAB3D-SEVSN。该模型通过优化的GAB-3D模块在三维时空域自适... 针对小样本条件下视频隐写任务中存在的长程运动建模不足和通道冗余导致的过参数化问题,提出一种融合三维全局注意力块(GAB-3D)与压缩激励(SE)通道注意力的增强型视频隐写网络GAB3D-SEVSN。该模型通过优化的GAB-3D模块在三维时空域自适应地聚焦关键运动轨迹,从而增强长程依赖的建模能力;同时,通过在可逆架构中嵌入SE模块实现通道级自适应校准,从而有效抑制冗余参数并缓解过参数化现象。在UCF101数据集(13K视频样本)上的实验结果表明,相较于LF-VSN基线模型,所提模型的峰值信噪比(PSNR)和结构相似度(SSIM)分别提升了0.5 dB和2.06%。消融实验结果验证了各模块的有效性和协同效应。而在高动态场景子集和不同属性视频上的测试结果表明,该模型在PSNR和SSIM上均显著优于基线模型,展现出优异的鲁棒性和泛化能力。 展开更多
关键词 视频隐写 可逆神经网络 压缩激励机制 三维全局注意力机制 通道注意力机制
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Design,progress and challenges of 3D carbon-based thermally conductive networks 被引量:2
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作者 JING Yuan LIU Han-qing +2 位作者 ZHOU Feng DAI Fang-na WU Zhong-shuai 《新型炭材料(中英文)》 SCIE EI CAS CSCD 北大核心 2024年第5期844-871,共28页
The advent of the 5G era has stimulated the rapid development of high power electronics with dense integration.Three-dimensional(3D)thermally conductive networks,possessing high thermal and electrical conductivities a... The advent of the 5G era has stimulated the rapid development of high power electronics with dense integration.Three-dimensional(3D)thermally conductive networks,possessing high thermal and electrical conductivities and many different structures,are regarded as key materials to improve the performance of electronic devices.We provide a critical overview of carbonbased 3D thermally conductive networks,emphasizing their preparation-structure-property relationships and their applications in different scenarios.A detailed discussion of the microscopic principles of thermal conductivity is provided,which is crucial for increasing it.This is followed by an in-depth account of the construction of 3D networks using different carbon materials,such as graphene,carbon foam,and carbon nanotubes.Techniques for the assembly of two-dimensional graphene into 3D networks and their effects on thermal conductivity are emphasized.Finally,the existing challenges and future prospects for 3D carbon-based thermally conductive networks are discussed. 展开更多
关键词 Carbon material 3d network GRAPHENE Thermal conductivity Heat transfer
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Construction of 3D interconnected boron nitride/carbon nanofiber hybrid network within polymer composite for thermal conductivity improvement 被引量:2
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作者 Yexiang Cui Fei Xu +7 位作者 Di Bao Yueyang Gao Jianwen Peng Dan Lin Haolei Geng Xiaosong Shen Yanji Zhu Huaiyuan Wang 《Journal of Materials Science & Technology》 SCIE EI CAS CSCD 2023年第16期165-175,共11页
With the increasing power density and integration of electronic devices,polymeric composites with high thermal conductivity(TC)are in urgent demand for solving heat accumulation issues.However,the direct introduction ... With the increasing power density and integration of electronic devices,polymeric composites with high thermal conductivity(TC)are in urgent demand for solving heat accumulation issues.However,the direct introduction of inorganic fillers into a polymer matrix at low filler content usually leads to low TC enhancement.In this work,an interconnected three-dimensional(3D)polysulfone/hexagonal boron nitride-carbon nanofiber(PSF/BN-CNF)skeleton was prepared via the salt templated method to address this issue.After embedding into the epoxy(EP),the EP/PSF/BN-CNF composite presents a high TC of 2.18 W m^(−1) K^(−1) at a low filler loading of 28.61 wt%,corresponding to a TC enhancement of 990%compared to the neat epoxy.The enhanced TC is mainly attributed to the fabricated 3D interconnected structure and the efficient synergistic effect of BN and CNF.In addition,the TC of the epoxy composites can be further increased to 2.85 W m^(−1) K^(−1) at the same filler loading through a post-heat treatment of the PSF/BN-CNF skeletons.After carbonization at 1500°C,the adhesive PSF was converted into carbonaceous layers,which could serve as a thermally conductive glue to connect the filler network,further decreasing the interfacial thermal resistance and promoting phonon transport.Besides,the good heat dissipation performance of the EP/C/BN-CNF composites was directly confirmed by thermal infrared imaging,indicating a bright and broad application in the thermal management of modern electronics and energy fields. 展开更多
关键词 Thermal conductivity Boron nitride Carbon nanofiber 3d network Epoxy composites
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Novel Poly m eric Transition Metal Co m plexes Having1D Chain and 3D Networks Structures
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作者 洪茂椿 曹荣 《Chinese Journal of Structural Chemistry》 SCIE CAS CSCD 1999年第5期384-392,共9页
The syntheses and structures of eleven novel polymeric transition metal complexes having one dimensional chain structures or three dimensional networks are summarized. They are prepared from the controlled assemblin... The syntheses and structures of eleven novel polymeric transition metal complexes having one dimensional chain structures or three dimensional networks are summarized. They are prepared from the controlled assembling reactions in organic solvents and characterized by X ray diffraction analyses. The spectroscopic or magnetic properties of some complexes are studied. 展开更多
关键词 polymeric metal complex linear chain structure 3d network
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基于水膜厚度与BP神经网络的3D打印水泥净浆流变预测
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作者 韩鑫 周娟兰 《江苏科技大学学报(自然科学版)》 2026年第1期58-66,共9页
为了研究3D打印水泥净浆流变性能的影响机制,采用湿测法和流变实验相结合,系统分析了水胶比、减水剂、增稠剂、粉煤灰及硅灰5种因素对浆体水膜厚度、静态屈服应力与塑性粘度的影响规律.实验测试结果表明:降低水胶比、提高增稠剂或硅灰... 为了研究3D打印水泥净浆流变性能的影响机制,采用湿测法和流变实验相结合,系统分析了水胶比、减水剂、增稠剂、粉煤灰及硅灰5种因素对浆体水膜厚度、静态屈服应力与塑性粘度的影响规律.实验测试结果表明:降低水胶比、提高增稠剂或硅灰掺量均会显著减少水膜厚度,从而导致静态屈服应力与塑性粘度上升;而减水剂与粉煤灰的加入则可增加水膜厚度,有效降低流变参数.各影响因素改变下的水膜厚度与流变参数均呈现较好的关联,R^(2)>0.94.基于实验数据,以水膜厚度为核心,研究构建了两阶段的BP神经网络预测模型,模型第一阶段用于预测水膜厚度,第二阶段添加水膜厚度作为输入值进一步预测流变性能,预测误差普遍小于10%. 展开更多
关键词 3d打印水泥净浆 水膜厚度 流变性能 BP神经网络
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A review of 3D graphene materials for energy storage and conversion
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作者 WU Zi-yuan XU Chi-wei +2 位作者 ZENG Jin-jue JIANG Xiang-fen WANG Xue-bin 《新型炭材料(中英文)》 北大核心 2025年第3期477-518,共42页
Three-dimensional(3D)graphene monoliths are a new carbon material,that has tremendous potential in the fields of energy conversion and storage.They can solve the limitations of two-dimensional(2D)graphene sheets,inclu... Three-dimensional(3D)graphene monoliths are a new carbon material,that has tremendous potential in the fields of energy conversion and storage.They can solve the limitations of two-dimensional(2D)graphene sheets,including interlayer restacking,high contact resistance,and insufficient pore accessibility.By constructing interconnected porous networks,3D graphenes not only retain the intrinsic advantages of 2D graphene sheets,such as high specific surface area,excellent electrical and thermal conductivities,good mechanical properties,and outstanding chemical stability,but also enable efficient mass transport of external fluid species.We summarize the fabrication methods for 3D graphenes,with a particular focus on their applications in energy-related systems.Techniques including chemical reduction assembly,chemical vapor deposition,3D printing,chemical blowing,and zinc-tiered pyrolysis have been developed to change their pore structure and elemental composition,and ways in which they can be integrated with functional components.In terms of energy conversion and storage,they have found broad use in buffering mechanical impacts,suppressing noise,photothermal conversion,electromagnetic shielding and absorption.They have also been used in electrochemical energy systems such as supercapacitors,secondary batteries,and electrocatalysis.By reviewing recent progress in structural design and new applications,we also discuss the problems these materials face,including scalable fabrication and precise pore structure control,and possible new applications. 展开更多
关键词 GRAPHENE 3d network SYNTHESIS Energy storage Energy conversion
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Carbon dots confined in 3D polymer network: Producing robust room temperature phosphorescence with tunable lifetimes 被引量:3
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作者 Yingxiang Zhai Ping Wang +4 位作者 Xinyue Zhang Shouxin Liu Jian Li Zhijun Chen Shujun Li 《Chinese Chemical Letters》 SCIE CAS CSCD 2022年第2期783-787,共5页
Room temperature phosphorescence(RTP) is important in both organic electronics and encryption. Despite rapid advances, a universal approach to robust and tunable RTP materials based on amorphous polymers remains a for... Room temperature phosphorescence(RTP) is important in both organic electronics and encryption. Despite rapid advances, a universal approach to robust and tunable RTP materials based on amorphous polymers remains a formidable challenge. Here, we present a strategy that uses three-dimensional(3 D)confinement of carbon dots in a polymer network to achieve ultra-long lifetime phosphorescence. The RTP of the as-obtained materials was not quenched in different polar organic solvents and the lifetime of the RTP was easily tuned by adjusting the amount of crosslinking or varying the drying temperature of the 3 D molecular network. As a demonstration of potential application, as-obtained RTP materials were successfully used to prepare RTP fibres for flexible textiles. As well as bringing to light a fundamental principle for the construction of polymer materials with RTP, we have endowed traditional carbon dots and polymers with fresh features that will expand potential applications. 展开更多
关键词 Carbon dots 3d polymer network Room temperature phosphorescence Tunable lifetime GENERALITY
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Constructing globally consecutive 3D conductive network using P-doped biochar cotton fiber for superior performance of silicon-based anodes 被引量:3
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作者 Jun Cao Jianhong Gao +6 位作者 Kun Wang Zhuoying Wu Xinxin Zhu Han Li Min Ling Chengdu Liang Jun Chen 《Journal of Materials Science & Technology》 SCIE EI CAS CSCD 2024年第6期181-191,共11页
The inferior conductivity and drastic volume expansion of silicon still remain the bottleneck in achieving high energy density Lithium-ion Batteries(LIBs).The design of the three-dimensional structure of electrodes by... The inferior conductivity and drastic volume expansion of silicon still remain the bottleneck in achieving high energy density Lithium-ion Batteries(LIBs).The design of the three-dimensional structure of electrodes by compositing silicon and carbon materials has been employed to tackle the above challenges,however,the exorbitant costs and the uncertainty of the conductive structure persist,leaving ample room for improvement.Herein,silicon nanoparticles were innovatively composited with eco-friendly biochar sourced from cotton to fabricate a 3D globally consecutive conductive network.The network serves a dual purpose:enhancing overall electrode conductivity and serving as a scaffold to maintain electrode integrity.The conductivity of the network was further augmented by introducing P-doping at the optimum doping temperature of 350℃.Unlike the local conductive sites formed by the mere mixing of silicon and conductive agents,the consecutive network can affirm the improvement of the conductivity at a macro level.Moreover,first-principle calculations further validated that the rapid diffusion of Li^(+)is attributed to the tailored electronic microstructure and charge rearrangement of the fiber.The prepared consecutive conductive Si@P-doped carbonized cotton fiber anode outperforms the inconsecutive Si@Graphite anode in both cycling performance(capacity retention of 1777.15 mAh g^(-1) vs.682.56 mAh g^(-1) after 150 cycles at 0.3 C)and rate performance(1244.24 mAh g^(-1) vs.370.28 mAh g^(-1) at 2.0 C).The findings of this study may open up new avenues for the development of globally interconnected conductive networks in Si-based anodes,thereby enabling the fabrication of high-performance LIBs. 展开更多
关键词 3d conductive network Biochar carbon-silicon anode Heteroatoms doping strategy DFT calculation Lithium-ion battery
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