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Enhancing composite laminate structures with tailored neural networks 利用定制神经网络增强复合材料层压板结构
IF 1.9 4区 材料科学 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2024-03-07 DOI: 10.1557/s43579-024-00536-5
Xiaoming Xu, Jianjun Wei, Sheng Sang

This paper presents a groundbreaking strategy for optimizing composite laminate structures by integrating finite element modeling with a specialized multi-layer neural network. The neural network is trained on precise ground truth data obtained from rigorous finite element simulations, allowing it to discern intricate correlations among layer orientations, boundary conditions, and optimized designs. Tailored to the nuances of laminar composite optimization, the developed neural network emerges as a potent predictive tool, providing deep insights into the intricate interdependencies of design parameters. The study's findings hold immense promise for advancing materials design and structural engineering, highlighting the transformative potential of combining computational intelligence with traditional modeling approaches.

Graphical abstract

本文通过将有限元建模与专门的多层神经网络相结合,提出了优化复合材料层压板结构的突破性策略。该神经网络根据从严格的有限元模拟中获得的精确地面实况数据进行训练,使其能够辨别层方向、边界条件和优化设计之间错综复杂的相关性。针对层状复合材料优化的细微差别,所开发的神经网络成为一种有效的预测工具,能深入洞察设计参数之间错综复杂的相互依存关系。这项研究的发现为推进材料设计和结构工程带来了巨大希望,凸显了将计算智能与传统建模方法相结合的变革潜力。
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引用次数: 0
G-code Net: Learning-based rational design and optimization for additively manufactured structures G-code Net:基于学习的快速成型结构合理设计与优化
IF 1.9 4区 材料科学 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2024-03-05 DOI: 10.1557/s43579-024-00532-9

Abstract

In this work, we propose an integrated approach for the rational design of 3D-printed parts using machine learning. A Long Short-Term Memory (LSTM) neural network (G-code Net) was used to construct the functional relationship between the G-code and the mechanical properties of the 3D-printed part. Results show that a well-trained G-code Net can make accurate predictions of the mechanical responses and achieve a speed-up of three orders of magnitude compared to finite element. By further combining with genetic algorithm, one can efficiently perform inverse designs for 3D-printed parts with target mechanical response under other design constraints.

Graphic Abstract

摘要 在这项工作中,我们提出了一种利用机器学习合理设计三维打印部件的综合方法。我们使用长短期记忆(LSTM)神经网络(G-code Net)来构建 G 代码与三维打印部件机械性能之间的函数关系。结果表明,训练有素的 G-code Net 可以准确预测机械响应,与有限元相比,速度提高了三个数量级。通过与遗传算法进一步结合,可以在其他设计约束条件下高效地对具有目标机械响应的三维打印部件进行反向设计。 图形摘要
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引用次数: 0
Effect of Al2O3 coating thickness on the thermal stability of Cu–carbon nanotube hybrids Al2O3 涂层厚度对铜-碳纳米管混合物热稳定性的影响
IF 1.9 4区 材料科学 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2024-03-05 DOI: 10.1557/s43579-024-00533-8

Abstract

Hybrids of carbon nanotube and metals have been regarded as promising candidate for flexible circuit, where thermal stability of nanograined metals is a challenging issue. In this study, we find thermal stability of Cu layer in CNT–Cu hybrids can be improved by coating Al2O3 layer. As for CNT–Cu hybrids, Cu nanograins are agglomerated during 673 K annealing. In contrast, the agglomeration of CNT–Cu hybrids can be suppressed after coating Al2O3 layer, and exhibit a thickness-dependent thermal stability after annealing at higher temperature. The underlying mechanism might be the compressive stress applied by Al2O3 coatings and inhibited diffusion along Cu/Al2O3 interfaces.

Graphical abstract

摘要 碳纳米管与金属的混合体一直被视为柔性电路的理想候选材料,而纳米颗粒金属的热稳定性是一个具有挑战性的问题。在这项研究中,我们发现 CNT-Cu 混合材料中铜层的热稳定性可以通过涂覆 Al2O3 层得到改善。对于 CNT-Cu 混合物,在 673 K 退火过程中铜纳米晶粒会团聚。相反,涂覆 Al2O3 层后,CNT-Cu 杂化物的团聚现象会被抑制,并且在更高温度下退火后会表现出与厚度相关的热稳定性。其根本机制可能是 Al2O3 涂层施加了压应力,并抑制了铜/Al2O3 界面的扩散。 图表摘要
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引用次数: 0
Fabrication and characterization of biomimetic injectable HA/GT-OSA composites for bone regeneration 用于骨再生的生物仿生可注射 HA/GT-OSA 复合材料的制备和表征
IF 1.9 4区 材料科学 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2024-02-20 DOI: 10.1557/s43579-024-00525-8
Jie Yu, Qiang Zhao, Ting Xiao, Han-Wu Liu, Xi-Liang Chen, Jia He, Ting-Ting Yan

To address the issue of limited bone repair efficacy, a novel biomimetic HA/GT-OSA composite was synthesized through crosslinking gelatin (GT) with oxidized sodium alginate (OSA) for encapsulating hydroxyapatite (HA). The physicochemical properties of the composite were assessed using SEM, XRD, and FT-IR analyses. The biodegradability and biocompatibility of the HA/GT-OSA were confirmed via simulated body fluid (SBF) degradation testing and toxicity evaluation. Moreover, the HA/GT-OSA composites showed excellent bone regeneration performance in the SD rats intracranial bone repair, highlighting their immense potential for treating irregular bone defects and facilitating minimally invasive surgical implantation.

Graphical abstract

为了解决骨修复功效有限的问题,研究人员通过交联明胶(GT)和氧化海藻酸钠(OSA)来封装羟基磷灰石(HA),从而合成了一种新型的仿生物HA/GT-OSA复合材料。利用 SEM、XRD 和 FT-IR 分析评估了该复合材料的理化性质。通过模拟体液(SBF)降解测试和毒性评估,确认了 HA/GT-OSA 的生物降解性和生物相容性。此外,HA/GT-OSA复合材料在SD大鼠颅内骨修复中表现出优异的骨再生性能,突显了其在治疗不规则骨缺损和促进微创手术植入方面的巨大潜力。
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引用次数: 0
Synthesis and characterization of aluminum-doped graphitic carbon 掺铝石墨碳的合成与表征
IF 1.9 4区 材料科学 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2024-02-20 DOI: 10.1557/s43579-024-00531-w
Isabelle P. Gordon, Grace Suenram, Devin McGlamery, Nicholas P. Stadie

Heteroatom doping of graphitic carbon is of high interest for tuning its physicochemical properties. Aluminum is commonly reported as a high-interest dopant, but few synthetic strategies have been reported owing to the low equilibrium solubility of Al within graphite. Herein we report several strategies to achieve metastable aluminum-substituted turbostratic graphitic carbon materials with aluminum contents up to ~ 0.5 at%, via co-pyrolysis of two molecular precursors between 800 and 1100°C. The resulting materials exhibit turbostratic graphitic structure and a previously unreported aluminum environment detectable by X-ray absorption spectroscopy (XAS), a likely signature of trigonal planar or puckered AlC3-type sites.

Graphical abstract

在石墨碳中掺杂异构体对调整其物理化学特性具有重要意义。铝通常被报道为一种重要的掺杂剂,但由于铝在石墨中的平衡溶解度较低,因此很少有合成策略的报道。在此,我们报告了几种策略,通过在 800 至 1100°C 之间对两种分子前驱体进行共热解,可获得铝含量高达 ~ 0.5 at% 的铝取代湍流石墨碳材料。由此产生的材料表现出涡轮石墨结构和以前未报道过的铝环境,可通过 X 射线吸收光谱(XAS)检测到,这可能是三叉平面或皱褶 AlC3 型位点的特征。
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引用次数: 0
Processing of organic electrochemical transistors 加工有机电化学晶体管
IF 1.9 4区 材料科学 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2024-02-14 DOI: 10.1557/s43579-024-00521-y
Henrique Frulani de Paula Barbosa, Andika Asyuda, Michael Skowrons, Andreas Schander, Björn Lüssem

Abstract

Since the advent of Organic Electrochemical Transistors (OECTs) back in the 80s, research focus has shifted from understanding the working mechanism and expanding the materials library to finding new applications and building larger integrated circuits. Given the strong dependency of these devices’ performance on their geometrical dimensions and considering the increasing need for larger scale and low cost fabrication, research on novel processing methods is paramount. Here, we review the most common processing techniques used for OECT fabrication, starting from classic methods such as spin coating and electropolymerization to more recent and complex ones like orthogonal lithography and 3D printing. We also provide a brief outlook on how these techniques are enabling integrated circuits and large scale circuitry in general.

Graphical abstract

摘要自上世纪 80 年代有机电化学晶体管(OECTs)问世以来,研究重点已从了解其工作机制和扩大材料库转向寻找新的应用和构建更大的集成电路。鉴于这些器件的性能与其几何尺寸密切相关,同时考虑到对更大规模和低成本制造的需求日益增长,对新型加工方法的研究就显得尤为重要。在此,我们回顾了用于 OECT 制造的最常见加工技术,从旋涂和电聚合等经典方法到正交光刻和 3D 打印等最新的复杂方法。我们还简要展望了这些技术如何使集成电路和大规模电路成为可能。
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引用次数: 0
2D and thin-film copper synthesized via magnetron sputtering 通过磁控溅射合成二维铜和薄膜铜
IF 1.9 4区 材料科学 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2024-02-12 DOI: 10.1557/s43579-024-00529-4
Bin Gu, Guangyu Wen, Bo Zhang, Janicek Petr, Tomas Wagner

Two-dimensional metals have gained great attention in recent years. However, most of these metals possess relatively strong chemical bonding in three directions; therefore, it is difficult to synthesize 2D metals. In this paper, we prepared 2D and thin- film copper materials via magnetron sputtering. 2D and thin-film copper are formed due to the accumulation of strain and stress associated with different coefficients of thermal expansion for the metal and substrate. SEM and AFM studies suggest that the minimum thickness of a freestanding single layer is approximately 1 nm, with lateral dimensions up to a few millimeters.

Graphical abstract

近年来,二维金属备受关注。然而,这些金属大多在三个方向上具有相对较强的化学键,因此很难合成二维金属。在本文中,我们通过磁控溅射制备了二维和薄膜铜材料。二维铜和薄膜铜的形成是由于金属和基底的热膨胀系数不同所导致的应变和应力的累积。扫描电镜和原子力显微镜研究表明,独立单层的最小厚度约为 1 纳米,横向尺寸可达几毫米。
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引用次数: 0
Emergent mechanical properties in highly filled additively manufactured polymer composites 高填充添加型聚合物复合材料的新机械特性
IF 1.9 4区 材料科学 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2024-02-12 DOI: 10.1557/s43579-024-00530-x
Tahamina Nasrin, Ahmed O. Adisa, Christopher J. Hansen, Farhad Pourkamali-Anaraki, Robert E. Jensen, Amy M. Peterson

In this work, we investigate additively manufactured composites with populations of coarse and fine glass microspheres that are functionalized using silane coupling agents to explore how and why different functionalization of the fine and coarse fractions leads to vastly different mechanics. Combining strong interfaces on fine particles with weak interfaces on coarse particles leads to enhancements in elongation to break and toughness, whereas combining two types of strong interfaces leads to enhancement in elongation to break and reduction or maintenance of other measured tensile properties. These results can inform future work in tailoring mechanics of highly filled additively manufactured composites.

Graphical Abstract

在这项研究中,我们对使用硅烷偶联剂功能化的粗玻璃微球和细玻璃微球的添加式制造复合材料进行了研究,以探索细颗粒和粗颗粒的不同功能化如何以及为什么会导致力学性能的巨大差异。将细颗粒上的强界面与粗颗粒上的弱界面相结合可提高断裂伸长率和韧性,而将两种类型的强界面相结合则可提高断裂伸长率,降低或保持其他测得的拉伸特性。这些结果可为今后定制高填充添加剂制造复合材料力学性能的工作提供参考。
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引用次数: 0
Utilizing machine learning to model interdependency of bulk molecular weight, solution concentration, and thickness of spin coated polystyrene thin films 利用机器学习模拟旋涂聚苯乙烯薄膜的体积分子量、溶液浓度和厚度之间的相互依存关系
IF 1.9 4区 材料科学 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2024-02-12 DOI: 10.1557/s43579-024-00527-6
Alexander Chenyu Wang, Samuel Z. Chen, Evan Xie, Matthew Chang, Anthony Zhu, Adam Hansen, John Jerome, Miriam Rafailovich

Spin coating is a quick and inexpensive method to create nanometer-thick thin films of various polymers on solid substrates. Since the film thickness determines the mechanical, optical, and degradation properties of the coating, it is essential to develop a simple method to predict thickness based on other manipulatable factors. In this study, a three-dimensional manifold simultaneously relating initial solution concentration, film thickness, and monodisperse bulk molecular weight is developed utilizing curve-fit machine learning on a dataset of spin coated polystyrene samples. Given values for any two of the three factors, the manifold presents an accurate corresponding value for the unknown.

Graphical abstract

旋转涂层是在固体基底上形成纳米厚的各种聚合物薄膜的一种快速而廉价的方法。由于薄膜厚度决定了涂层的机械、光学和降解特性,因此必须开发一种简单的方法,根据其他可操作因素预测薄膜厚度。在本研究中,利用曲线拟合机器学习技术,在旋涂聚苯乙烯样品的数据集上开发出了同时与初始溶液浓度、薄膜厚度和单分散块状分子量相关的三维流形。给定三个因素中任何两个因素的值,流形就能准确地给出未知因素的相应值。
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引用次数: 0
Nano-sized polymer-assisted cold sintering and recycling of ceramic composites 纳米级聚合物辅助陶瓷复合材料的冷烧结和回收利用
IF 1.9 4区 材料科学 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2024-02-12 DOI: 10.1557/s43579-024-00524-9
Juchen Zhang, Enrique D. Gomez, Hongtao Sun

Cold sintering is an emerging technology that significantly reduces sintering temperatures by approximately an order of magnitude, down to about 100–200°C. This reduction of processing temperature enables the co-sintering and integration of dissimilar materials, such as ceramics and polymers, into unprecedented composites, where the low-energy consumption densification provides an opportunity for recycling. Here, we cold sintered barium titanate (BaTiO3)-polytetrafluoroethylene (PTFE) ceramic-polymer composites, demonstrating that nano-sized PTFE polymer powders facilitate co-sintering and enable the recycling of ceramic composites. This approach offers an opportunity for reusing and re-processing ceramic components, thereby promoting sustainability through waste reduction and energy savings.

Graphical abstract

冷烧结是一种新兴技术,可将烧结温度大幅降低约一个数量级,降至 100-200°C 左右。加工温度的降低使陶瓷和聚合物等异种材料能够共同烧结并集成到前所未有的复合材料中,低能耗的致密化为回收利用提供了机会。在这里,我们对钛酸钡(BaTiO3)-聚四氟乙烯(PTFE)陶瓷-聚合物复合材料进行了冷烧结,证明了纳米级聚四氟乙烯聚合物粉末可促进共烧结并实现陶瓷复合材料的回收利用。这种方法为陶瓷部件的再利用和再加工提供了机会,从而通过减少废物和节约能源促进可持续发展。
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引用次数: 0
期刊
MRS Communications
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