<?xml version="1.1" encoding="utf-8"?>
<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">JCER</journal-id><journal-title-group><journal-title>Journal of Contemporary Educational Research</journal-title></journal-title-group><issn>2208-8466</issn><eissn>2208-8474</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/jcer.v7i12.5823</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Uncovering Patterns Beneath the Surface: A Glimpse into the Applications of Algebraic Topology</title><url>https://artdesignp.com/journal/JCER/7/12/10.26689/jcer.v7i12.5823</url><author>BaiChenyu,ChenYixuan</author><pub-date pub-type="publication-year"><year>2023</year></pub-date><volume>7</volume><issue>12</issue><history><date date-type="pub"><published-time>2023-12-25</published-time></date></history><abstract>This paper explores the significant impact of algebraic topology on diverse real-world applications. Starting with an introduction to the historical development and essence of algebraic topology, it delves into its applications in neuroscience, physics, biology, engineering, data analysis, and Geographic Information Systems (GIS). Remarkable applications incorporate the analysis of neural networks, quantum mechanics, materials science, and disaster management, showcasing its boundless significance. Despite computational challenges, this study outlines prospects, emphasizing the requirement for proficient algorithms, noise robustness, multi-scale analysis, machine learning integration, user-friendly tools, and interdisciplinary collaborations. In essence, algebraic topology provides a transformative lens for uncovering stowed-away topological structures in complex data, offering solutions to perplexing problems in science, engineering, and society, with vast potential for future exploration and innovation.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Massey WS, 2019, A Basic Course in Algebraic Topology (Vol. 127), Springer, New York.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B2" content-type="article"><label>2</label><element-citation publication-type="journal"><p>Andreatta M, 2018, From Music to Mathematics and Backward: Introducing Algebra, Topology, and Category Theory into Computational Musicology, in Imagine Math 6, Springer, Cham, 77–88.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B3" content-type="article"><label>3</label><element-citation publication-type="journal"><p>Kempthorne LJA, 2015, Relations between Modern Mathematics and Poetry: Czes?awMi?osz; Zbigniew Herbert; Ion Barbu/Dan Barbilian, thesis, Victoria University of Wellington.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B4" content-type="article"><label>4</label><element-citation publication-type="journal"><p>Lord N, 2020, Complex Analysis by Ian Stewart and David Tall (2nd edn.), Cambridge University Press 2018, 389. The Mathematical Gazette, 104(559): 187–189.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B5" content-type="article"><label>5</label><element-citation publication-type="journal"><p>Eilenberg S, Steenrod N, 2015, Foundations of Algebraic Topology (Vol. 2193). Princeton University Press, New Jersey.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B6" content-type="article"><label>6</label><element-citation publication-type="journal"><p>Fletcher P, Lindgren WF, 2018, Quasi-Uniform Spaces, Routledge, London.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B7" content-type="article"><label>7</label><element-citation publication-type="journal"><p>Khovanov M, Robert LH, 2020, Link Homology and Frobenius Extensions II. arXiv Preprint. https://doi.org/10.48550/arXiv.2005.08048</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B8" content-type="article"><label>8</label><element-citation publication-type="journal"><p>Asok A, Hoyois M, Wendt M, 2018, Affine Representability Results in A^1-Homotopy Theory III: Finite Fields and Complements. arXiv Preprint. https://doi.org/10.48550/arXiv.1807.03365</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B9" content-type="article"><label>9</label><element-citation publication-type="journal"><p>Bray C, Butscher A, Rubinstein-Salzedo S, 2021, Algebraic Topology, Springer, New York.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B10" content-type="article"><label>10</label><element-citation publication-type="journal"><p>Haarmann J, Murphy MP, Peters CS, et al., 2015, Homotopy Equivalence in Finite Digital Images. Journal of Mathematical Imaging and Vision, 2015(53): 288–302.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B11" content-type="article"><label>11</label><element-citation publication-type="journal"><p>Robinson J, 2015, Arriving at Urban Policies: The Topological Spaces of Urban Policy Mobility. International Journal of Urban and Regional Research, 39(4): 831–834.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B12" content-type="article"><label>12</label><element-citation publication-type="journal"><p>Cisinski DC, 2019, Higher Categories and Homotopical Algebra (Vol. 180), Cambridge University Press, Cambridge.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B13" content-type="article"><label>13</label><element-citation publication-type="journal"><p>Houzel C, 1992, The Development of Mathematical Research in France since the Second World War, CEFIPRA.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B14" content-type="article"><label>14</label><element-citation publication-type="journal"><p>Fajstrup L, Goubault E, Haucourt E, et al., 2016, Directed Algebraic Topology and Concurrency (Vol. 138), Springer, Berlin.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B15" content-type="article"><label>15</label><element-citation publication-type="journal"><p>Barbarossa S, Sardellitti S, 2020, Topological Signal Processing over Simplicial Complexes. IEEE Transactions on Signal Processing, 2020(68): 2992–3007.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B16" content-type="article"><label>16</label><element-citation publication-type="journal"><p>Salnikov V, Cassese D, Lambiotte R, 2018, Simplicial Complexes and Complex Systems. European Journal of Physics, 40(1): 014001.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B17" content-type="article"><label>17</label><element-citation publication-type="journal"><p>Kühlbrandt W, 2015, Structure and Function of Mitochondrial Membrane Protein Complexes. BMC Biology, 2015(13): 1–11.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B18" content-type="article"><label>18</label><element-citation publication-type="journal"><p>Choi S, Oh J, Park JR, et al., 2023, Effective Data Reduction Algorithm for Topological Data Analysis. arXiv Preprint. https://doi.org/10.48550/arXiv.2306.13312</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B19" content-type="article"><label>19</label><element-citation publication-type="journal"><p>Briot S, Goldsztejn A, 2018, Topology Optimization of Industrial Robots: Application to a Five-Bar Mechanism. Mechanism and Machine Theory, 2018(120): 30–56.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B20" content-type="article"><label>20</label><element-citation publication-type="journal"><p>Talalaev DVE, 2021, Tetrahedron Equation: Algebra, Topology, and Integrability. Russian Mathematical Surveys, 76(4): 685.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B21" content-type="article"><label>21</label><element-citation publication-type="journal"><p>Tokura Y, Yasuda K, Tsukazaki A, 2019, Magnetic Topological Insulators. Nature Reviews Physics, 1(2): 126–143.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B22" content-type="article"><label>22</label><element-citation publication-type="journal"><p>Wu K, Wei GW, 2018, Quantitative Toxicity Prediction using Topology-Based Multitask Deep Neural Networks. Journal of Chemical Information and Modeling, 58(2): 520–531.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B23" content-type="article"><label>23</label><element-citation publication-type="journal"><p>Adjed F, Mziou-Sallami M, Pelliccia F, et al., 2022, Coupling Algebraic Topology Theory, Formal Methods, and Safety Requirements Toward a New Coverage Metric for Artificial Intelligence Models. Neural Computing and Applications, 34(19): 17129–17144.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B24" content-type="article"><label>24</label><element-citation publication-type="journal"><p>Cang Z, 2018, Algebraic Topology and Machine Learning for Biomolecular Modeling, thesis, Michigan State University.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B25" content-type="article"><label>25</label><element-citation publication-type="journal"><p>Izmirlioglu Y, Erdem E, 2023, Qualitative Reasoning about 2D Cardinal Directions using Answer Set Programming. Journal of Artificial Intelligence Research, 2023(77): 1371–1453.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B26" content-type="article"><label>26</label><element-citation publication-type="journal"><p>Wang L, O’Connor D, Rinklebe J, et al., 2020, Biochar Aging: Mechanisms, Physicochemical Changes, Assessment, and Implications for Field Applications. Environmental Science &amp; Technology, 54(23): 14797–14814.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B27" content-type="article"><label>27</label><element-citation publication-type="journal"><p>Schmidt J, Marques MR, Botti S, et al., 2019, Recent Advances and Applications of Machine Learning in Solid-State Materials Science. npj Computational Materials, 5(1): 83.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
