{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:03:29Z","timestamp":1760241809792,"version":"build-2065373602"},"reference-count":15,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2018,9,12]],"date-time":"2018-09-12T00:00:00Z","timestamp":1536710400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004281","name":"Narodowe Centrum Nauki","doi-asserted-by":"publisher","award":["2015\/17\/N\/ST7\/03749"],"award-info":[{"award-number":["2015\/17\/N\/ST7\/03749"]}],"id":[{"id":"10.13039\/501100004281","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>We propose a simple model for prediction of magnetic noise level in tunneling magnetoresistance (TMR) sensors. The model reproduces experimental magnetic 1\/f and white noise components, which are dependent on sensors resistance and field sensitivity. The exact character of this dependence is determined by comparing the results with experimental data using a statistical cross-validation procedure. We show that the model is able to correctly predict magnetic noise level for systems within wide range of resistance, volume and sensitivity, and that it can be used as a robust method for noise evaluation in TMR sensors based on a small number of easily measurable parameters only.<\/jats:p>","DOI":"10.3390\/s18093055","type":"journal-article","created":{"date-parts":[[2018,9,12]],"date-time":"2018-09-12T10:26:36Z","timestamp":1536747996000},"page":"3055","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Magnetic Noise Prediction and Evaluation in Tunneling Magnetoresistance Sensors"],"prefix":"10.3390","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3106-298X","authenticated-orcid":false,"given":"Jakub","family":"Ch\u0119ci\u0144ski","sequence":"first","affiliation":[{"name":"Department of Electronics, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Krak\u00f3w, Poland"},{"name":"Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Krak\u00f3w, Poland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7995-7416","authenticated-orcid":false,"given":"Piotr","family":"Wi\u015bniowski","sequence":"additional","affiliation":[{"name":"Department of Electronics, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Krak\u00f3w, Poland"}]},{"given":"Marek","family":"Frankowski","sequence":"additional","affiliation":[{"name":"Department of Electronics, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Krak\u00f3w, Poland"}]},{"given":"Tomasz","family":"Stobiecki","sequence":"additional","affiliation":[{"name":"Department of Electronics, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Krak\u00f3w, Poland"},{"name":"Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Krak\u00f3w, Poland"}]}],"member":"1968","published-online":{"date-parts":[[2018,9,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Reig, C., Cardoso de Freitas, S., and Mukhopadhyay, S.C. (2013). Giant Magnetoresistance (GMR) Sensors from Basis to State-of-the-Art Applications, Springer. SSMI 6.","DOI":"10.1007\/978-3-642-37172-1"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"4873","DOI":"10.1109\/TMAG.2009.2026287","article-title":"Magnetoresistive detection of magnetic beads flowing at high speed in microfluidic channels","volume":"45","author":"Loureiro","year":"2009","journal-title":"IEEE Trans. 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An Introduction to Statistical Learning with Applications in R, Springer.","DOI":"10.1007\/978-1-4614-7138-7"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/18\/9\/3055\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T15:20:07Z","timestamp":1760196007000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/18\/9\/3055"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,9,12]]},"references-count":15,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2018,9]]}},"alternative-id":["s18093055"],"URL":"https:\/\/doi.org\/10.3390\/s18093055","relation":{},"ISSN":["1424-8220"],"issn-type":[{"type":"electronic","value":"1424-8220"}],"subject":[],"published":{"date-parts":[[2018,9,12]]}}}