摘要：The spinodal decomposition method emerges as a promising methodology,showcasing its potential in exploring the design space for metamaterial ***,spinodal structures design is still largely limited to regular structures,due to their relatively easy parameterization and *** predicting the mechanical properties of 3D spinodal membrane structure remains a challenge,given that the features of the membrane necessitate adaptive mesh through the modelling *** paper proposes an integrated approach for morphological design with customized mechanical properties,incorporating the spinodal decomposition method and adaptive coarse-grained modeling,which can produce various morphologies such as lamellar,columnar,and cubic ***-periodic parameterβand orientational parameterΘ(θ_(1),θ_(2),θ_(3))are identified to achieve the optimal goal of anisotropic mechanical *** analysis is conducted to reveal the correlation between the customized spinodal structure and mechanical *** work provides an integrated approach for morphological variation and tuning mechanical properties,paving the way for the design and development of customized functional materials similar to 3D spinodal membrane structures.

摘要：Additive manufacturing(AM)has revolutionized the design and manufacturing of patient-specific,three-dimensional(3D),complex porous structures known as scaffolds for tissue engineering *** use of advanced image acquisition techniques,image processing,and computer-aided design methods has enabled the precise design and additive manufacturing of anatomically correct and patient-specific implants and ***,these sophisticated techniques can be timeconsuming,labor-intensive,and ***,the necessary imaging and manufacturing equipment may not be readily available when urgent treatment is needed for trauma *** this study,a novel design and AM methods are proposed for the development of modular and customizable scaffold blocks that can be adapted to fit the bone defect area of a *** modular scaffold blocks can be combined to quickly form any patient-specific scaffold directly from two-dimensional(2D)medical images when the surgeon lacks access to a 3D printer or cannot wait for lengthy 3D imaging,modeling,and 3D printing during *** proposed method begins with developing a bone surface-modeling algorithm that reconstructs a model of the patient’s bone from 2D medical image measurements without the need for expensive 3D medical imaging or *** algorithm can generate both patient-specific and average bone ***,a biomimetic continuous path planning method is developed for the additive manufacturing of scaffolds,allowing porous scaffold blocks with the desired biomechanical properties to be manufactured directly from 2D data or *** algorithms are implemented,and the designed scaffold blocks are 3D printed using an extrusion-based AM *** and instructions are also provided to assist surgeons in assembling scaffold blocks for the self-repair of patient-specific large bone defects.

摘要：Al Si10Mg porous protective structure often produces different damage forms under compressive loading,and these damage modes affect its protective *** order to well meet the service requirements,there is an urgent need to comprehensively understand the mechanical behavior and response mechanism of AlSi10Mg porous structures under compressive *** this paper,Al Si10Mg porous structures with three kinds of volume fractions are designed and optimized to meet the requirements of high-impact,strong-energy absorption,and lightweight *** mechanical behaviors of AlSi10Mg porous structures,including the stress-strain relationship,structural bearing state,deformation and damage modes,and energy absorption characteristics,were obtained through experimental studies at different loading *** damage pattern of the damage section indicates that AlSi10Mg porous structures have both ductile and brittle mechanical *** simulation studies show that the AlSi10Mg porous structure undergoes shear damage due to relative misalignment along the diagonal cross-section,and the damage location is almost at 45°to the load direction,which is the most direct cause of its structural damage,revealing the damage mechanism of AlSi10Mg porous structures under the compressive *** normalized energy absorption model constructed in the paper well interprets the energy absorption state of Al Si10Mg porous structures and gives the sensitive location of the structures,and the results of this paper provide important references for peers in structural design and optimization.

摘要：Cortical electrodes are a powerful tool for the stimulation and/or recording of electrical activity in the nervous ***,the inevitable wound caused by surgical implantation of electrodes presents bacterial infection and inflammatory reaction risks associated with foreign body ***,inflammation of the wound area can dramatically worsen in response to bacterial *** consequences can not only lead to the failure of cortical electrode implantation but also threaten the lives of ***,we prepared a hydrogel made of bacterial cellulose(BC),a flexible substrate for cortical electrodes,and further loaded antibiotic tetracycline(TC)and the anti-inflammatory drug dexamethasone(DEX)onto *** encapsulated drugs can be released from the BC hydrogel and effectively inhibit the growth of Gram-negative and Gram-positive ***,therapeutic cortical electrodes were developed by integrating the drug-loaded BC hydrogel and nine-channel serpentine arrays;these were used to record electrocorticography(ECoG)signals in a rat *** to the controlled release of TC and DEX from the BC hydrogel substrate,therapeutic cortical electrodes can alleviate or prevent symptoms associated with the bacterial infection and inflammation of brain *** approach facilitates the development of drug delivery electrodes for resolving complications caused by implantable electrodes.

摘要：机器学习和数据科学技术的飞速发展,很大程度上满足了许多领域通过数据预测比较实际或复杂的动力系统的需求.列维噪声是一个比高斯白噪声更普适和复杂的涨落模型,它被广泛应用于许多非高斯情形来模拟爆炸或跳跃行为.在本文中,我们设计了一个系统的数据驱动方法来识别受高斯白噪声和非高斯列维噪声扰动的系统的最大似然转移路径.其中涉及的主要理论和数值概念包括经典动力系统理论中的非局部Kramers-Moyal公式、非局部Fokker-Planck方程以及一个通过交叉验证解决稀疏回归问题的机器学习框架.接下来我们给出两个例子从细节方面展现了该方法的可操作性,并且对最大似然转移路径做了简要的分岔分析.该方法将作为相关理论研究对应的数值方法以及数值角度的验证,并为该高斯扩散过程的推广复杂系统的其他诸如平均离出时间或离出概率等动力学指征的数值识别工作提供一些洞见.

摘要：机翼前缘结冰会改变机翼的气动轮廓并影响整体的空气动力学性能.研究简化角冰冰形对翼型绕流流场结构的影响可以为飞机防冰设计提供有价值的参考.采用粒子图像测速技术,在低速直流风洞中对覆盖不同角冰冰形的翼型在不同攻角时的流场结构进行了详细的实验测量.实验对象包括三种简化的冰形和原始冰形.结果表明,在本研究范围内,覆盖简化冰形的翼型和覆盖原始冰形的翼型在流场参数上的最大差异为35.11%.与原始冰形相比,覆盖简化的角冰冰形的翼型流场中的分离泡距离翼型前缘和后缘更远.在三种冰形简化方法中,将冰角简化成矩形并在冰角之间添加抛物线的连接方式具有比较好的简化效果.在选定的两个区域中,这种简化冰形和原始冰形在翼型绕流流场的参数平均值的差异在14.88%之内.

摘要：纤维技术领域的最新突破促使具有紧密界面的功能材料能够在一维限域空间内精准组装成具有特定几何结构的单根纤维,可用于传感器、能量收集和存储、显示器和医疗设备等.其中,半导体是调节纤维器件性能的关键组件,因此,纤维内部半导体的选择.

摘要：Advanced energy storage technologies are widely needed to efficiently utilize renewable energies such as solar and wind energy and satisfy burgeoning clean energy needs while mitigating the environmental impact of fossil fuels[1–4].Aqueous organic redox flow batteries(AORFBs)have drawn substantial attention in this area because of their decoupled energy and power,excellent scalability,and use of highly structurally tunable organic redox active species[5].

摘要：动载荷识别在结构设计和优化中起着至关重要的作用目前的大多数研究都集中在确定性结构上.然而,实际工程结构中的结构参数是未知的.不确定参数的存在会导致载荷识别结果与实际载荷值之间的误差,因此研究不确定结构的动载荷识别问题至关重要的.本文针对含有不确定参数的结构,提出了一种数据驱动的动载荷识别方法.首先,将不确定参数由一组闭区间向量表征.然后引入卷积神经网络(CNN)对未知载荷区间进行重构.将区间分析理论与泰勒展开相结合,得到了监督载荷的上下边界,并将其用作训练样本.最后,训练后的CNN模型直接识别未知载荷区间的边界.仿真结果表明,该方法具有较高的载荷识别精度和对噪声的鲁棒性.我们构造了一个简支梁结构进行实验,以进一步验证所提出方法在工程中的可行性.此外,我们还讨论了测量点分布和样本数量对识别精度的影响,这有利于在工程实践中的应用。

摘要：具有随机孔隙的多孔泡沫在声音管理应用中得到越来越多的利用,其吸声系数通常作为性能评估和设计优化的关键声学参数.根据不同的加工方法,泡沫中的孔隙可以是全开或半开的,并且通常表现为分形分布特征.为了便于工程应用,有必要对这些泡沫的吸声系数进行分析预测.然而,分析预测泡沫的吸声系数是一个挑战.因此,本研究提出了半开孔和全开孔的简化代表结构来微观分析泡沫内部的流动特性,并应用分形理论来描述随机分布的孔隙.引入一个叫“开孔度”的参数来表征孔隙的开放程度,可以解析地获得代表结构的粘性和热特征长度.随后,在经典吸声系数Johnson-Champoux-Allard模型的基础上,建立了一种将代表结构与分形理论统一起来的解析模型,从而可以将吸声系数作为具有全开/半开孔泡沫的关键形态参数的函数进行预测.与已有的实验测量和数值模拟结果相比,本文提出的分析模型可以较好地预测了半开孔和全开孔泡沫的关键流动特性和吸声系数.在0到4500 Hz的频率范围内,半开孔泡沫相对于具有相同孔隙率的全开孔泡沫可以更好地衰减声波.在孔隙率为0.95的条件下,半开孔泡沫的总体吸声系数分别提高了21.2%、57.7%和75.8%,此时开孔度由0.75到0.50降低了0.25.