[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-123196-en":3,"doc-seo-123196-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},123196,13056703019404,"Miles","https://ap-avatar.wpscdn.com/davatar_29158cc5080c5b710cf443261637dec0",8,"Research & Report","Break junction data clustering using supervised and unsupervised machine learning - Bachelor thesis","Break junction experiments generate large volumes of conductance traces, yet many traces carry no useful information. The work distinguishes molecule-free traces from those reflecting an expected physical trend, addressing cases such as tunneling-current decay after snapback events, contamination effects, and non-standard slopes during electrode separation. Supervised and unsupervised machine learning techniques are used to filter, cluster, and preserve relevant conductance behavior, with validation on real measured data.","Bachelor Thesis  \nF3  \nCzech Technical University in Prague  \nFaculty of Electrical Engineering Department of Physics  \nBreak junction data clustering using supervised and unsupervised machine learning  \nOliver Klimt  \nSupervisor: Ing. Ladislav Sieger, CSc.  \nSupervisor–specialist: RNDr. Jindřich Nejedlý, PhD.  \nMay 2024  \nii  \nBACHELOR‘S THESIS ASSIGNMENT  \nI. Personal and study details  \nStudent's name: Klimt Oliver Personal ID number: 499151  \nFaculty / Institute: Faculty of Electrical Engineering Department / Institute: Department of Measurement Study program: Cybernetics and Robotics  \nII. Bachelor’s thesis details  \nBachelor’s thesis title in English:  \nBreak junction data clustering using supervised and unsupervised machine learning  \nBachelor’s thesis title in Czech:  \nNavrhněte metodu pro zpracování měření typu break junction  \nGuidelines:  \n1) Research machine learning methods for processing Break-Junction data (measurement of conductivity of organic molecules)  \n2) Choose a suitable algorithm for solving the specified task  \n3) Verify the suitability of the selected method on real measured data  \nBibliography / sources:  \n1) SHUKLA, Nishant a FRICKLAS, Kenneth. Machine learning with TensorFlow. Shelter Island: Manning,[2018] . ISBN 978-1-61729-387-0.  \n2) GÉRON, Aurélien. Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow: concepts, tools, and techniques to build intelligent systems. Second edition. Beijing: O'Reilly, 2019. ISBN 978-1-4920-3264-9.  \n3) Bro-Jørgensen, William – Hamill, Joseph M.– … Solomon, Gemma C. (2022): Trusting Our Machines: Validating Machine Learning Models for Single-Molecule Transport Experiments. Chemical Society Reviews, Roč . 51, Č . 16, s. 6875–6892, \u003C[https://doi.org/10.1039/d1cs00884f](https://doi.org/10.1039/d1cs00884f)> .  \n4) Cabosart, Damien – El Abbassi, Maria – … Perrin, Mickael L. (2019): A Reference-Free Clustering Method for the Analysis of Molecular Break-Junction Measurements. Applied Physics Letters, Roč . 114, Č . 14,\u003C[https://doi.org/10.1063/1.5089198](https://doi.org/10.1063/1.5089198)> .  \n5) Komoto, Yuki – Ryu, Jiho – Taniguchi, Masateru (2023): Machine Learning and Analytical Methods for Single-Molecule Conductance Measurements. Chemical Communications, Roč . 59, Č . 45, s. 6796–6810,\u003C[https://doi.org/10.1039/d3cc01570j](https://doi.org/10.1039/d3cc01570j)> .  \nName and workplace of bachelor’s thesis supervisor:  \nIng. Ladislav Sieger, CSc. Department of Physics FEE  \nName and workplace of second bachelor’s thesis supervisor or consultant:  \nDate of bachelor’s thesis assignment: 25.01.2024 Deadline for bachelor thesis submission: 24.05.2024 Assignment valid until:  \nby the end of summer semester 2024/2025  \nIng. Ladislav Sieger, CSc. Head of department’s signature prof. Mgr. Petr Páta, Ph. D.  \nSupervisor’s signature Dean’s signature  \nIII. Assignment receipt  \nThe student acknowledges that the bachelor’s thesis is an individual work. The student must produce his thesis without the assistance of others,  \nwith the exception of provided consultations. Within the bachelor’s thesis, the author must state the names of consultants and include a list of references.  \n.  \nDate of assignment receipt Student’s signature  \nAcknowledgements  \nI would like to thank Doctor Ladislav Sieger for introducing me to this very topic. Doctor Sieger not only showed me how fascinating can molecular physics be but also introduced me to the great colleagues of Starý group.  \nI’d like to thank Doctor Jindřich Nejedlý for his guidance a patience. I learned chemistry in high school, but I came short on advance topics. Doctor Nejedlý took the time to introduce me into break junction experiments and related chemistry.  \nMy thanks go to Doctor Jaroslav Vacek for allowing me to use data from the Breaker programme, a desktop application written exclusively for IOCB to analyse breaking curves.  \nAnd, of course, I want to thank Doctor Irena G. Stará and Doctor Ivo Starý for welcoming me","cbCaidyoyzOQk2RB","https://ap.wps.com/l/cbCaidyoyzOQk2RB","pdf",4880240,1,48,"English","en",105,"# Motivation\n# Introduction\n## Understanding our data","[{\"question\":\"Why are break junction conductance traces difficult to use directly?\",\"answer\":\"Many traces lack meaningful information, such as exponential tunneling-current decay after snapback when no molecule is present, contamination-related behavior, or non-standard slopes as electrodes separate.\"},{\"question\":\"What is the main goal of the thesis?\",\"answer\":\"To distinguish and filter out traces without molecules while preserving traces that show an expected physical trend in conductance measurements.\"},{\"question\":\"Which machine learning approaches are used?\",\"answer\":\"The thesis applies both supervised and unsupervised machine learning methods to process and analyze the break-junction data.\"}]","Break junction data clustering using supervised and unsupervised machine learning - Bachelor thesis | PDF",1785815155,121,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"break-junction-data-clustering-using-supervised-and-unsupervised-machine-learning-bachelor-thesis","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/break-junction-data-clustering-using-supervised-and-unsupervised-machine-learning-bachelor-thesis/123196/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-04",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"Why are break junction conductance traces difficult to use directly?","Question",{"text":75,"@type":76},"Many traces lack meaningful information, such as exponential tunneling-current decay after snapback when no molecule is present, contamination-related behavior, or non-standard slopes as electrodes separate.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"What is the main goal of the thesis?",{"text":80,"@type":76},"To distinguish and filter out traces without molecules while preserving traces that show an expected physical trend in conductance measurements.",{"name":82,"@type":73,"acceptedAnswer":83},"Which machine learning approaches are used?",{"text":84,"@type":76},"The thesis applies both supervised and unsupervised machine learning methods to process and analyze the break-junction data.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,115,120,123,128,131,135],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":111,"doc_module":4,"doc_module_name":46,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":116,"doc_module":4,"doc_module_name":46,"category_name":117,"show_sort_weight":118,"slug":119},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":121,"slug":122},30,"research-report",{"id":124,"doc_module":4,"doc_module_name":46,"category_name":125,"show_sort_weight":126,"slug":127},9,"Religion & Spirituality",20,"religion-spirituality",{"id":126,"doc_module":4,"doc_module_name":46,"category_name":129,"show_sort_weight":126,"slug":130},"World Cup","world-cup",{"id":132,"doc_module":4,"doc_module_name":46,"category_name":133,"show_sort_weight":132,"slug":134},10,"Lifestyle","lifestyle",{"id":136,"doc_module":4,"doc_module_name":46,"category_name":137,"show_sort_weight":106,"slug":138},19,"General","general"]