Solving ordinary and partial differential equations using an analog computing system based on ultrasonic metasurfaces

被引:0
|
作者
Robert Frederik Uy
Viet Phuong Bui
机构
[1] Hwa Chong Institution,
[2] Institute of High Performance Computing (IHPC),undefined
[3] Agency for Science,undefined
[4] Technology and Research (A*STAR),undefined
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Wave-based analog computing has recently emerged as a promising computing paradigm due to its potential for high computational efficiency and minimal crosstalk. Although low-frequency acoustic analog computing systems exist, their bulky size makes it difficult to integrate them into chips that are compatible with complementary metal-oxide semiconductors (CMOS). This research paper addresses this issue by introducing a compact analog computing system (ACS) that leverages the interactions between ultrasonic waves and metasurfaces to solve ordinary and partial differential equations. The results of our wave propagation simulations, conducted using MATLAB, demonstrate the high accuracy of the ACS in solving such differential equations. Our proposed device has the potential to enhance the prospects of wave-based analog computing systems as the supercomputers of tomorrow.
引用
收藏
相关论文
共 50 条
  • [1] Solving ordinary and partial differential equations using an analog computing system based on ultrasonic metasurfaces
    Uy, Robert Frederik
    Bui, Viet Phuong
    [J]. SCIENTIFIC REPORTS, 2023, 13 (01):
  • [2] Solving Stiff Ordinary Differential Equations and Partial Differential Equations Using Analog Computing Based on Cellular Neural Networks
    Chedjou, J. C.
    Kyamakya, K.
    Latif, M. A.
    Khan, U. A.
    Moussa, I.
    Do Trong Tuan
    [J]. PROCEEDINGS OF INDS '09: SECOND INTERNATIONAL WORKSHOP ON NONLINEAR DYNAMICS AND SYNCHRONIZATION 2009, 2009, 4 : 213 - +
  • [3] Reservoir Computing for Solving Ordinary Differential Equations
    Mattheakis, Marios
    Joy, Hayden
    Protopapas, Pavlos
    [J]. INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS, 2023, 32 (01)
  • [4] Analog Computing of Partial Differential Equations
    Ratier, Nicolas
    [J]. 2012 6TH INTERNATIONAL CONFERENCE ON SCIENCES OF ELECTRONICS, TECHNOLOGIES OF INFORMATION AND TELECOMMUNICATIONS (SETIT), 2012, : 275 - 282
  • [5] System of Ordinary Differential Equations Solving Using Cellular Neural Networks
    Ramadan, M.
    ElDanaf, Talaat S.
    Eissa, Mahmoud A.
    [J]. JOURNAL OF ADVANCED MATHEMATICS AND APPLICATIONS, 2014, 3 (02) : 182 - 194
  • [6] SVM for solving ordinary and partial differential equations with regular boundary
    Wu, YX
    Chai, X
    Li, Y
    Yan, WL
    Shen, XQ
    [J]. PROGRESS IN INTELLIGENCE COMPUTATION & APPLICATIONS, 2005, : 521 - 528
  • [7] Artificial neural networks for solving ordinary and partial differential equations
    Lagaris, IE
    Likas, A
    Fotiadis, DI
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS, 1998, 9 (05): : 987 - 1000
  • [8] AN ANALOG COMPUTER TECHNIQUE FOR SOLVING A CLASS OF NONLINEAR ORDINARY DIFFERENTIAL EQUATIONS
    WHITE, ME
    [J]. IEEE TRANSACTIONS ON ELECTRONIC COMPUTERS, 1966, EC15 (02): : 157 - &
  • [9] AN EFFICIENT ALGORITHM REDUCES COMPUTING TIME IN SOLVING A SYSTEM OF STIFF ORDINARY DIFFERENTIAL-EQUATIONS
    GAMBARTDUCROS, D
    MARAL, G
    [J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS, 1980, 27 (09): : 747 - 755
  • [10] Acoustic analog computing system based on labyrinthine metasurfaces
    Zuo, Shuyu
    Wei, Qi
    Tian, Ye
    Cheng, Ying
    Liu, Xiaojun
    [J]. SCIENTIFIC REPORTS, 2018, 8