为加速有限元分析流程,提出了一种面向有限元分析的自适应三角网格模型布尔运算方法。将ADT(alternating digital tree)数据结构应用于三角面片的判交计算,提升了布尔运算中三角面片的判交效率;借鉴结合球填充算法和插点/去点算法的网...为加速有限元分析流程,提出了一种面向有限元分析的自适应三角网格模型布尔运算方法。将ADT(alternating digital tree)数据结构应用于三角面片的判交计算,提升了布尔运算中三角面片的判交效率;借鉴结合球填充算法和插点/去点算法的网格重生成方法来重剖分局部区域,保证了算法的效率和生成网格的质量;通过改进的八叉树背景网格来记录和光滑尺寸场,生成了自适应的网格;通过尺寸场合理地控制重剖分区域,使算法效率和生成网格的质量得以很好地平衡。实验结果表明,所提方法可以高效地生成满足有限元分析需求的网格。展开更多
Advancements in microscale electrode technology have revolutionized the field of neuroscience and clinicalapplications by offering high temporal and spatial resolution of recording and stimulation. Flexible neural pro...Advancements in microscale electrode technology have revolutionized the field of neuroscience and clinicalapplications by offering high temporal and spatial resolution of recording and stimulation. Flexible neural probes, withtheir mechanical compliance to brain tissue, have been shown to be superior to rigid devices in terms of stability andlongevity in chronic recordings. Shuttle devices are commonly used to assist flexible probe implantation;however, theprotective membrane of the brain still makes penetration difficult. Hidden damage to brain vessels duringimplantation is a significant risk. Inspired by the anatomy of the mosquito mouthparts, we present a biomimeticneuroprobe system that integrates high-sensitivity sensors with a high-fidelity multichannel flexible electrode array.This customizable system achieves distributed and minimally invasive implantation across brain regions. Mostimportantly, the system’s nonvisual monitoring capability provides an early warning detection for intracranial softtissues, such as vessels, reducing the potential for injury during implantation. The neural probe system demonstratesexceptional sensitivity and adaptability to environmental stimuli, as well as outstanding performance in postoperativeand chronic recordings. These findings suggest that our biomimetic neural-probe device offers promising potential forfuture applications in neuroscience and brain-machine interfaces.展开更多
文摘为加速有限元分析流程,提出了一种面向有限元分析的自适应三角网格模型布尔运算方法。将ADT(alternating digital tree)数据结构应用于三角面片的判交计算,提升了布尔运算中三角面片的判交效率;借鉴结合球填充算法和插点/去点算法的网格重生成方法来重剖分局部区域,保证了算法的效率和生成网格的质量;通过改进的八叉树背景网格来记录和光滑尺寸场,生成了自适应的网格;通过尺寸场合理地控制重剖分区域,使算法效率和生成网格的质量得以很好地平衡。实验结果表明,所提方法可以高效地生成满足有限元分析需求的网格。
基金supported by the Teli Fellowship from Beijing Institute of Technologythe National Natural Science Foundation of China(52303366,22173109,and 22333005)+1 种基金High-Talent Grant(SIAT-SE3G0991010,2023)Startup Grant from Shenzhen Institute of Advanced Technology。
基金This work was partially supported by the National Key R&D Program of China(Grant Nos.2019YFA0905200,2021ZD0201600,2021YFC2501500,2021YFF1200700,2022ZD0209300,2022ZD0212300,2022YFF0706500)National Natural Science Foundation of China(Grant No.61974154)+8 种基金Key Research Program of Frontier Sciences,CAS(Grant No.ZDBS-LYJSC024)Shanghai Pilot Program for Basic Research—Chinese Academy of Science,Shanghai Branch(Grant No.JCYJ-SHFY-2022-01)Shanghai Municipal Science and Technology Major Project(Grant No.2021SHZDZX)CAS Pioneer Hundred Talents Program,Shanghai Pujiang Program(Grant Nos.19PJ1410900,21PJ1415100)the Science and Technology Commission Foundation of Shanghai(No.21JM0010200)Shanghai Rising-Star Program(Grant No.22QA1410900)the Innovative Research Team of High-level Local Universities in Shanghai,the Jiangxi Province 03 Special Project and 5G Project(Grant No.20212ABC03W07)Fund for Central Government in Guidance of Local Science and Technology Development(Grant No.20201ZDE04013)Special Fund for Science and Technology Innovation Strategy of Guangdong Province(Grant Nos.2021B0909060002,2021B0909050004).
文摘Advancements in microscale electrode technology have revolutionized the field of neuroscience and clinicalapplications by offering high temporal and spatial resolution of recording and stimulation. Flexible neural probes, withtheir mechanical compliance to brain tissue, have been shown to be superior to rigid devices in terms of stability andlongevity in chronic recordings. Shuttle devices are commonly used to assist flexible probe implantation;however, theprotective membrane of the brain still makes penetration difficult. Hidden damage to brain vessels duringimplantation is a significant risk. Inspired by the anatomy of the mosquito mouthparts, we present a biomimeticneuroprobe system that integrates high-sensitivity sensors with a high-fidelity multichannel flexible electrode array.This customizable system achieves distributed and minimally invasive implantation across brain regions. Mostimportantly, the system’s nonvisual monitoring capability provides an early warning detection for intracranial softtissues, such as vessels, reducing the potential for injury during implantation. The neural probe system demonstratesexceptional sensitivity and adaptability to environmental stimuli, as well as outstanding performance in postoperativeand chronic recordings. These findings suggest that our biomimetic neural-probe device offers promising potential forfuture applications in neuroscience and brain-machine interfaces.
