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基于PINNs的压电半导体梁的非线性多场耦合力学分析

肖争光 张春利 陈伟球

肖争光, 张春利, 陈伟球. 基于PINNs的压电半导体梁的非线性多场耦合力学分析[J]. 应用数学和力学, 2024, 45(10): 1288-1299. doi: 10.21656/1000-0887.450070
引用本文: 肖争光, 张春利, 陈伟球. 基于PINNs的压电半导体梁的非线性多场耦合力学分析[J]. 应用数学和力学, 2024, 45(10): 1288-1299. doi: 10.21656/1000-0887.450070
XIAO Zhengguang, ZHANG Chunli, CHEN Weiqiu. Analysis of Nonlinear Multi-Field Coupling Mechanics of Piezoelectric Semiconductor Beams via PINNs[J]. Applied Mathematics and Mechanics, 2024, 45(10): 1288-1299. doi: 10.21656/1000-0887.450070
Citation: XIAO Zhengguang, ZHANG Chunli, CHEN Weiqiu. Analysis of Nonlinear Multi-Field Coupling Mechanics of Piezoelectric Semiconductor Beams via PINNs[J]. Applied Mathematics and Mechanics, 2024, 45(10): 1288-1299. doi: 10.21656/1000-0887.450070

基于PINNs的压电半导体梁的非线性多场耦合力学分析

doi: 10.21656/1000-0887.450070
基金项目: 

国家自然科学基金(面上项目)(12172326;11972319);国家重点研发计划(2020YFA0711701;2020YFA0711700)

详细信息
    作者简介:

    肖争光(1995—),男,博士生 (E-mail: 12124091@zju.edu.cn);张春利(1980—),男,教授,博士,博士生导师 (通讯作者. E-mail: zhangcl01@zju.edu.cn);陈伟球(1969—),男,教授,博士,博士生导师,教育部长江学者特聘教授(E-mail: chenwq@zju.edu.cn).

    通讯作者:

    张春利(1980—),男,教授,博士,博士生导师 (通讯作者. E-mail: zhangcl01@zju.edu.cn)

  • 中图分类号: O343.5

Analysis of Nonlinear Multi-Field Coupling Mechanics of Piezoelectric Semiconductor Beams via PINNs

Funds: 

The National Science Foundation of China(12172326;11972319)

  • 摘要: 压电半导体(PS)具有压电性和半导体特性共存耦合的特征,在新型多功能电子/光电子学器件中有广阔应用前景.因此,理论分析压电半导体结构在外载作用下的多场耦合力学响应是十分重要的.然而,描述压电半导体多场耦合力学行为的控制方程中含有非线性的电流方程,属于物理非线性;而且很多半导体器件通常工作在大变形模式下,在力学上属于几何非线性问题.物理非线性和几何非线性给问题的求解带来了挑战.该文针对压电半导体梁结构,基于物理信息神经网络(physics informed neural networks,PINNs),构建了能高效求解其非线性多场耦合力学问题的PINNs方法.通过依次删除网络结构中载流子项和压电项,该方法即可退化到压电结构和纯弹性结构的情况.利用所构建的PINNs,分析了压电半导体梁在均布压力下的多场耦合力学响应.数值结果表明:该文所提出的基于PINNs的模型能有效求解压电半导体、压电以及纯弹性结构非线性多场耦合问题,相对而言,其在求解压电和纯弹性结构的力学响应时具有更高的精度.
  • [2]QIN Y, WANG X D, WANG Z L. Microfibre-nanowire hybrid structure for energy scavenging[J].Nature,2008,451(7180): 809-813.
    HICKERNELL F S. The piezoelectric semiconductor and acoustoelectronic device development in the sixties[J].IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control,2005,52(5): 737-745.
    [3]LIU Y, YANG Q, ZHANG Y, et al. Nanowire piezo-phototronic photodetector: theory and experimental design[J].Advanced Materials,2012,24(11): 1410-1417.
    [4]HAN W H, ZHOU Y S, ZHANG Y, et al. Strain-gated piezotronic transistors based on vertical zinc oxide nanowires[J].ACS Nano,2012,6(5): 3760-3766.
    [5]WANG Z L. Piezopotential gated nanowire devices: piezotronics and piezo-phototronics[J].Nano Today,2010,5(6): 540-552.
    [6]罗逸璕. 层状压电半导体结构的多场耦合力学行为分析[D].杭州: 浙江大学, 2019. (LUO Yixun. Analysis of multi-field coupling mechanical behavior of laminated piezoelectric semiconductor structures[D].Hangzhou: Zhejiang University, 2019. (in Chinese))
    [7]梁超, 张春利. 恒磁场作用下压磁/压电半导体复合圆柱壳的耦合响应分析[J].固体力学学报, 2020,41(3): 206-215. (LIANG Chao, ZHANG Chunli. Analysis of multi-field coupling responses of piezomagnetic/piezoelectric semiconductor cylindrical shell under a constant magnetic field[J]. Chinese Journal of Solid Mechanics,2020,41(3): 206-215. (in Chinese))
    [8]程若然, 张春利. 多个局部温度载荷下压电半导体纤维杆的压电电子学行为分析[J].力学学报, 2020,52(5): 1295-1303. (CHENG Ruoran, ZHANG Chunli. Analysis of the piezotronic effect of a piezoeletric semiconductor fiber under mutiple local temperature loadings[J]. Chinese Journal of Theoretical and Applied Mechanics,2020,52(5): 1295-1303. (in Chinese))
    [9]李德志, 张春利. 弹性纵波在压电-压电半导体周期杆中的传播[J].哈尔滨工程大学学报, 2022,43(9): 1252-1257. (LI Dezhi, ZHANG Chunli. Propagation of elastic longitudinal waves in a periodic piezoelectric-piezosemiconductor rod[J]. Journal of Harbin Engineering University,2022,43(9): 1252-1257. (in Chinese))
    [10]ZHANG C L, WANG X Y, CHEN W Q, et al. Carrier distribution and electromechanical fields in a free piezoelectric semiconductor rod[J]. Journal of Zhejiang University (Science A),2016,17(1): 37-44.
    [11]王晓媛. 一维压电半导体杆的力学行为研究[D].杭州: 浙江大学, 2017. (WANG Xiaoyuan. Research on mechanical behaviors of one-dimensional piezoelectric semiconductor rods[D].Hangzhou: Zhejiang University, 2017. (in Chinese))
    [12]CHENG R R, ZHANG C L, CHEN W Q, et al. Temperature effects on mobile charges in extension of composite fibers of piezoelectric dielectrics and non-piezoelectric semiconductors[J].International Journal of Applied Mechanics,2019,11(9): 1950088.
    [13]LUO Y X, ZHANG C L, CHEN W Q, et al. Thermally induced electromechanical fields in unimorphs of piezoelectric dielectrics and nonpiezoelectric semiconductors[J].Integrated Ferroelectrics,2020,211(1): 117-131.
    [14]ZHANG C L, WANG X Y, CHEN W Q, et al. An analysis of the extension of a ZnO piezoelectric semiconductor nanofiber under an axial force[J].Smart Materials and Structures,2017,26(2): 025030.
    [15]FAN S Q, HU Y T, YANG J S. Stress-induced potential barriers and charge distributions in a piezoelectric semiconductor nanofiber[J].Applied Mathematics and Mechanics (English Edition),2019,40(5): 591-600.
    [16]HUANG H Y, QIAN Z H, YANG J S. I-V characteristics of a piezoelectric semiconductor nanofiber under local tensile/compressive stress[J].Journal of Applied Physics,2019,126(16): 164902.
    [17]ANCONA M G, BINARI S C, MEYER D J. Fully coupled thermoelectromechanical analysis of GaN high electron mobility transistor degradation[J].Journal of Applied Physics,2012,111(7): 074504.
    [18]ANCONA M G. Fully coupled thermoelectroelastic simulations of GaN devices[C]//2012 International Electron Devices Meeting.San Francisco, CA, USA, 2012: 13.5.1-13.5.4.
    [19]ANCONA M G. Nonlinear thermoelectroelastic simulation of Ⅲ-N devices[C]//2014 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD).Yokohama, Japan, 2014: 121-124.
    [20]ANCONA M G. Nonlinear thermoelectroelastic analysis of Ⅲ-N semiconductor devices[J].IEEE Journal of the Electron Devices Society,2017,5(5): 320-334.
    [21]ZHAO M H, ZHANG Q Y, FAN C. An efficient iteration approach for nonlinear boundary value problems in 2D piezoelectric semiconductors[J].Applied Mathematical Modelling,2019,74: 170-183.
    [22]ZHAO M H, MA Z L, LU C S, et al. Application of the homopoty analysis method to nonlinear characteristics of a piezoelectric semiconductor fiber[J].Applied Mathematics and Mechanics (English Edition),2021,42(5): 665-676.
    [23]ZHAO M H, YANG C H, FAN C Y, et al. A shooting method for nonlinear boundary value problems in a thermal piezoelectric semiconductor plate[J].ZAMM Journal of Applied Mathematics and Mechanics,2020,100(12): e201900302.
    [24]BAO G F, LI D Z, KONG D J, et. al. Analysis of axially loaded piezoelectric semiconductor rods with geometric nonlinearity[J]. International Journal of Applied Mechanics,2022,14(10): 2250104.
    [25]PANG G, D’ELIA M, PARKS M, et al. nPINNs: nonlocal physics-informed neural networks for a parametrized nonlocal universal Laplacian operator. Algorithms and applications[J].Journal of Computational Physics,2020,422: 109760.
    [26]HAGHIGHAT E, JUANES R. SciANN: a Keras/TensorFlow wrapper for scientific computations and physics-informed deep learning using artificial neural networks[J].Computer Methods in Applied Mechanics and Engineering,2021,373: 113552.
    [27]MENG X, LI Z, ZHANG D, et al. PPINN: parareal physics-informed neural network for time-dependent PDEs[J].Computer Methods in Applied Mechanics and Engineering,2020,370: 113250.
    [28]ZHAO Q K, YANG H Y, LIU J B, et al. Machine learning-assisted discovery of strong and conductive Cu alloys: data mining from discarded experiments and physical features[J]. Materials & Design,2021,197: 109248.
    [29]LIU X, ATHANASIOU C E, PADTURE N P, et al. A machine learning approach to fracture mechanics problems[J].Acta Materialia,2020,190: 105-112.
    [30]HENKES A, WESSELS H, MAHNKEN R. Physics informed neural networks for continuum micromechanics[J].Computer Methods in Applied Mechanics and Engineering,2022,393: 114790.
    [31]ATHREYA A P, BRCKL T, BINDER E B, et al. Prediction of short-term antidepressant response using probabilistic graphical models with replication across multiple drugs and treatment settings[J].Neuropsychopharmacology,2021,46(7): 1272-1282.
    [32]RAISSI M, PERDIKARIS P, KARNIADAKIS G E. Physics-informed neural networks: a deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations[J].Journal of Computational Physics,2019,378: 686-707.
    [33]JAGTAP A D, KARNIADAKIS G E. Extended physics-informed neural networks (XPINNs): a generalized space-time domain decomposition based deep learning framework for nonlinear partial differential equations[J]. Communications in Computational Physics,2020,28(5): 2002-2041.
    [34]RAISSI M, YAZDANI A, KARNIADAKIS G E. Hidden fluid mechanics: learning velocity and pressure fields from flow visualizations[J].Science,2020,367(6481): 1026-1030.
    [35]HAGHIGHAT E, RAISSI M, MOURE A, et al. A physics-informed deep learning framework for inversion and surrogate modeling in solid mechanics[J].Computer Methods in Applied Mechanics and Engineering,2021,379: 113741.
    [36]REDDY J N.Mechanics of Laminated Composite Plates and Shells[M].CRC Press, 2004.
    [37]AULD B A.Acoustic Fields and Waves in Solids[M].Vol1. Wiley-Inter Science Publication, 1974.
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出版历程
  • 收稿日期:  2024-03-19
  • 修回日期:  2024-04-26
  • 网络出版日期:  2024-10-31
  • 刊出日期:  2024-10-01

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