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Deep learning in two-dimensional materials:Characterization,prediction,and design

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Frontiers of physics 2024年第5期19卷 57-84页

作者： Xinqin Meng Chengbing Qin Xilong Liang Guofeng Zhang Ruiyun Chen Jianyong Hu zhichun yang Jianzhong Huo Liantuan Xiao Suotang Jia State Key Laboratory of Quantum Optics and Quantum Optics Devices Institute of Laser SpectroscopyCollaborative Innovation Center of Extreme OpticsShanxi UniversityTaiyuan 030006China College of Physics Taiyuan University of TechnologyTaiyuan 030024China Taiyuan Central Hospital of Shanxi Medical University Taiyuan 030009China

Since the isolation of graphene,two-dimensional(2D)materials have attracted increasing interest because of their excellent chemical and physical properties,as well as promising ***,particular challenges persist in their further development,particularly in the effective identification of diverse 2D materials,the domains of large-scale and highprecision characterization,also intelligent function prediction and *** issues are mainly solved by computational techniques,such as density function theory and molecular dynamic simulation,which require powerful computational resources and high time *** booming deep learning methods in recent years offer innovative insights and tools to address these *** review comprehensively outlines the current progress of deep learning within the realm of 2D ***,we will briefly introduce the basic concepts of deep learning and commonly used architectures,including convolutional neural and generative adversarial networks,as well as U-net ***,the characterization of 2D materials by deep learning methods will be discussed,including defects and materials identification,as well as automatic thickness ***,the research progress for predicting the unique properties of 2D materials,involving electronic,mechanical,and thermodynamic features,will be evaluated ***,the current works on the inverse design of functional 2D materials will be *** last,we will look forward to the application prospects and opportunities of deep learning in other aspects of 2D *** review may offer some guidance to boost the understanding and employing novel 2D materials.

关键词： deep learning two-dimensional materials materials identification thickness characterization prediction inverse design convolutional neural networks generative adversarial networks

Solvent engineering towards scalable fabrication of high-quality perovskite films for efficient solar modules

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Journal of Energy Chemistry 2023年第5期80卷 689-710,I0015页

作者： Zhaoyi Jiang Binkai Wang Wenjun Zhang zhichun yang Mengjie Li Fumeng Ren Tahir Imran Zhenxing Sun Shasha Zhang Yiqiang Zhang Zhiguo Zhao Zonghao Liu Wei Chen Wuhan National Laboratory for Optoelectronics(WNLO) Huazhong University of Science and Technology(HUST)Wuhan 430074HubeiChina China-EU Institute for Clean and Renewable Energy(ICARE) Huazhong University of Science and Technology(HUST)Wuhan 430074HubeiChina State Key Lab of Quantum Optics and Quantum Optics Devices Institute of Laser SpectroscopyShanxi UniversityTaiyuan 030006ShanxiChina Collaborative Innovation Center of Extreme Optics Shanxi UniversityTaiyuan 030006ShanxiChina Huaneng Clean Energy Research Institute BeijingChina School of Materials Science and Engineering&Henan Institute of Advanced Technology Zhengzhou UniversityZhengzhou 450001HenanChina

Over the last decade,remarkable progress has been made in metal halide perovskite solar cells(PSCs),which have been a focus of emerging photovoltaic techniques and show great potential for ***,the upscaling of small-area PSCs to large-area solar modules to meet the demands of practical applications remains a significant *** scalable production of high-quality perovskite films by a simple,reproducible process is crucial for resolving this ***,the crystallization behavior in the solution-processed fabrication of perovskite films can be strongly influenced by the physicochemical properties of the precursor inks,which are significantly affected by the employed solvents and their interactions with the ***,a comprehensive understanding of solvent engineering for fabricating perovskite films over large areas is urgently *** this paper,we first analyze the role of solvents in the solution-processed fabrication of large-area perovskite films based on the classical crystal nucleation and growth *** efforts in solvent engineering to improve the quality of perovskite films for solar modules are ***,the basic principles and future challenges of solvent system design for scalable fabrication of high-quality perovskite films for efficient solar modules are proposed.

关键词： Solvent engineering Scalable fabrication Perovskite film Solar cell Module

Recent advances of flexible perovskite solar cells

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Journal of Energy Chemistry 2018年第3期27卷 673-689页

作者： Lingbo Li Shasha Zhang zhichun yang Engamba Esso Samy Berthold Wei Chen Wuhan National Laboratory for Optoelectronics.Huazhong University of Science and Technology.Luoyu Road 1037 Wahan 430073HubeiChina Cbino-EU Institute for Clean And Renewable Energy Huozhong University of Science and TechnologyLuoyu Road 1037Woban 430073.HubeiChina Engineering Research Center of Nano-Geo Materials of Ministry of Education China University of GeosciencesWuhan 430074HubeiChina

In few years only, the efficiency record of perovskite solar cells（PSCs） has raised quickly from 3.8% to over 22%. This emerging photovoltaic technology has primarily shown its great potential of industrialization. Flexible PSCs are thought to be one of the most priority options for mass production, related to the intrinsic advantage of perovskite thin films which could be deposited by facile solution processes at low temperature. Flexible PSCs have at least four advantages in comparison to the rigid counterpart：（1） it can generate higher power output at lighter weight,（2） it is easily portable,（3） it can be easily attached to architectures or textiles with diverse shapes, and（4） it is compatible with roll-to-roll fabrication in a large scale. In this review, we have summarized recent development of the key materials and technologies applied in flexible PSCs. The key materials including flexible substrates, transparent and conductive electrodes, and interfacial materials; some key technologies about roll-to-roll manufacture, encapsulation technology have been overviewed. Finally, a prospect on possible application directions of flexible PSCs has been discussed.

关键词： Perovskite solar cell Flexible solar cell Low-temperature process Roll-to-roll manufacture Thin film encapsulation

MoS_(2)-based nanocomposites for cancer diagnosis and therapy

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Bioactive Materials 2021年第11期6卷 4209-4242页

作者： Jianling Wang Lihua Sui Jia Huang Lu Miao Yubing Nie Kuansong Wang zhichun yang Qiong Huang Xue Gong Yayun Nan Kelong Ai Xiangya School of Pharmaceutical Sciences Central South UniversityChangsha410078China Hunan Provincial Key Laboratory of Cardiovascular Research Xiangya School of Pharmaceutical SciencesCentral South UniversityChangsha410078China Department of Pathology Xiangya HospitalCentral South UniversityChangshaHunan410078China Department of Pathology School of Basic Medical ScienceCentral South UniversityChangshaHunan410013China Department of Pharmacology Xiangya HospitalCentral South UniversityChangsha410008HunanChina Department of Radiology The Second Hospital of Jilin UniversityChangchun130041China Geriatric Medical Center Ningxia People’s HospitalYinchuanChina

Molybdenum is a trace dietary element necessary for the survival of *** molybdenum-bearing enzymes are involved in key metabolic activities in the human body(such as xanthine oxidase,aldehyde oxidase and sulfite oxidase).Many molybdenum-based compounds have been widely used in biomedical ***,MoS_(2)-nanomaterials have attracted more attention in cancer diagnosis and treatment recently because of their unique physical and chemical ***_(2)can adsorb various biomolecules and drug molecules via covalent or non-covalent interactions because it is easy to modify and possess a high specific surface area,improving its tumor targeting and colloidal stability,as well as accuracy and sensitivity for detecting specific *** the same time,in the near-infrared(NIR)window,MoS_(2)has excellent optical absorption and prominent photothermal conversion efficiency,which can achieve NIR-based phototherapy and NIR-responsive controlled ***,the modified MoS_(2)-nanocomposite can specifically respond to the tumor microenvironment,leading to drug accumulation in the tumor site increased,reducing its side effects on non-cancerous tissues,and improved therapeutic *** this review,we introduced the latest developments of MoS_(2)-nanocomposites in cancer diagnosis and therapy,mainly focusing on biosensors,bioimaging,chemotherapy,phototherapy,microwave hyperthermia,and combination ***,we also discuss the current challenges and prospects of MoS_(2)-nanocomposites in cancer treatment.

关键词： MoS_(2) Cancer Biosensor Bioimaging Chemotherapy Phototherapy Microwave hyperthermia Combination therapy

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基于参数不确定性的机翼颤振风险评定

西北工业大学学报 2010年第3期28卷 458-463页

作者：李毅杨智春西北工业大学航空学院陕西西安710072

随着飞机设计的发展,结构非线性颤振问题越来越突出,为了准确评价系统的颤振稳定性,不但要采用非线性颤振计算模型,同时还必须考虑模型中参数的不确定性,面对这些具有随机分布的参数,传统的确定性颤振分析方法已不能胜任;为了探索一套新... 详细信息

随着飞机设计的发展,结构非线性颤振问题越来越突出,为了准确评价系统的颤振稳定性,不但要采用非线性颤振计算模型,同时还必须考虑模型中参数的不确定性,面对这些具有随机分布的参数,传统的确定性颤振分析方法已不能胜任;为了探索一套新的,且适合研究非线性和不确定性相互耦合的颤振计算分析方法,文中选取具有非线性扭转刚度的二元机翼颤振系统为研究对象,将概率统计学中的蒙特卡罗方法和核密度估计法结合确定性颤振分析,开展不确定性量化工作,并得到给定速度下系统发生颤振的概率,进而对系统的颤振风险进行评定。并给出算例中非线性扭转刚度表现为软弹簧特性时,不同速度下发生颤振的概率,从而说明系统在不同速度下的颤振风险。

关键词：颤振概率不确定性量化风险估计颤振概率

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复合材料壁板热颤振的有限元分析

西北工业大学学报 2005年第2期23卷 180-183页

作者：夏巍杨智春西北工业大学航空学院陕西西安710072

壁板颤振是发生在高速飞行器上的一种典型的超音速气动弹性现象。在超音速飞行器的设计中,由于气动加热效应相当剧烈,考虑热效应的壁板颤振问题成为一个不可忽视的气动弹性问题。文中采用vonKarman大变形应变-位移关系、气动力活塞理论... 详细信息

壁板颤振是发生在高速飞行器上的一种典型的超音速气动弹性现象。在超音速飞行器的设计中,由于气动加热效应相当剧烈,考虑热效应的壁板颤振问题成为一个不可忽视的气动弹性问题。文中采用vonKarman大变形应变-位移关系、气动力活塞理论以及准定常热应力理论建立了考虑热效应的复合材料壁板颤振的气动弹性力学模型。使用计及壁板横向剪切效应的三结点三角形Mindlin板单元(MIN3单元)推导出考虑热效应的颤振有限元方程,并给出了在频域和时域求解其颤振方程的方法。分别对一个矩形复合材料壁板和梯形复合材料壁板,计算出壁板的颤振边界并分析了温度对壁板颤振边界的影响规律。

关键词：壁板颤振热效应活塞理论复合材料壁板

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热环境下复合材料壁板的振动特性分析

应用力学学报 2005年第3期22卷 359-363页

作者：夏巍杨智春西北工业大学西安710072

针对飞行器中常见的壁板结构,运用能量原理和变分方法,建立了定常温度场下复合材料壁板振动的控制方程以及相应的有限元分析模型。分析了热环境对壁板振动特性影响的机理,同时提出了一种针对热环境下复合材料壁板振动特性分析的线性化... 详细信息

针对飞行器中常见的壁板结构,运用能量原理和变分方法,建立了定常温度场下复合材料壁板振动的控制方程以及相应的有限元分析模型。分析了热环境对壁板振动特性影响的机理,同时提出了一种针对热环境下复合材料壁板振动特性分析的线性化计算方法。采用这种方法,热环境的影响以一个热刚度项和一个热载荷项的形式出现在常温下的振动运动方程中,由此可以较准确地模拟热效应对结构振动特性的影响。通过对热环境下复合材料壁板振动固有特性数值分析结果的对比,验证了本文方法的可行性和计算精度。同时分析结果表明,热效应产生的诱导应力对结构刚度的影响是导致壁板固有振动频率降低的主要原因。

关键词：复合材料壁板热环境固有振动特性

基于POD降阶方法的复合材料曲壁板颤振响应特性研究

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振动与冲击 2017年第1期36卷 38-44页

作者：周建杨智春西安航天动力研究所西安710100 西北工业大学学西安710072

建立了三维复合材料曲壁板的气动弹性有限元方程,将本征正交分解方法(POD)应用于三维复合材料曲壁板的非线性颤振响应降阶分析中,通过POD方法构造三维复合材料曲壁板颤振响应的POD模态,然后将系统的运动方程变换到POD模态坐标下,通过数... 详细信息

建立了三维复合材料曲壁板的气动弹性有限元方程,将本征正交分解方法(POD)应用于三维复合材料曲壁板的非线性颤振响应降阶分析中,通过POD方法构造三维复合材料曲壁板颤振响应的POD模态,然后将系统的运动方程变换到POD模态坐标下,通过数值积分方法计算三维复合材料曲壁板的颤振响应,与传统的模态缩减法计算结果相比,结果很好的吻合,且大大节省了计算时间。

关键词：曲壁板壁板颤振本征正交分解

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一种飞机垂尾抖振载荷识别的新方法

航空学报 2013年第10期34卷 2333-2340页

作者：贾有杨智春西北工业大学航空学院结构动力学与控制研究所陕西西安710072

针对抖振载荷难以直接测量的问题,提出了一种由抖振加速度响应逐点识别翼面分布抖振载荷的频域方法。根据抖振载荷空间和时间的分布特性,将抖振载荷表示成一组空间正交函数与一组时间函数的线性组合,从而把频域内的抖振载荷识别问题转... 详细信息

针对抖振载荷难以直接测量的问题,提出了一种由抖振加速度响应逐点识别翼面分布抖振载荷的频域方法。根据抖振载荷空间和时间的分布特性,将抖振载荷表示成一组空间正交函数与一组时间函数的线性组合,从而把频域内的抖振载荷识别问题转化为时间函数的识别问题。通过垂尾结构的气动弹性运动方程推导出加速度响应功率谱密度与广义力功率谱密度之间的关系式,再由谱分解理论得出广义力功率密度与抖振载荷功率谱密度的关系式,最后根据空间分布函数的正交性逐点识别出时间函数。为了解决上述逐点识别过程中遇到的不适定问题,提出了一种新的正则化处理方法,并用牛顿迭代法选取最佳正则化因子。对一个垂尾模型,先用计算流体力学(CFD)仿真软件计算出垂尾模型上的抖振载荷,然后将这些抖振载荷施加在垂尾结构上,并计算出垂尾结构的抖振加速度响应,利用计算出的加速度响应识别出抖振载荷,并与计算的抖振载荷进行比较,从而验证了本文所提出的抖振载荷逐点识别方法具有很好的识别精度。

关键词：抖振载荷垂尾载荷识别正交分解正则化