HfO₂-based memristors for gamma-ray detection: An experimental and computational investigation

buir.contributor.authorSaylan, Sueda
buir.contributor.orcidSaylan, Sueda0000-0002-1994-0110
dc.citation.epage2768
dc.citation.issueNumber3
dc.citation.spage2758
dc.citation.volumeNumber24
dc.contributor.authorSaylan, Sueda
dc.contributor.authorHitt, George Wesley
dc.contributor.authorJaoude, Maguy Abi
dc.contributor.authorMohammad, Baker
dc.date.accessioned2025-02-20T09:25:07Z
dc.date.available2025-02-20T09:25:07Z
dc.date.issued2024-02-01
dc.departmentDepartment of Physics
dc.departmentInstitute of Materials Science and Nanotechnology (UNAM)
dc.description.abstractIn this work, we present a memristor with a thin film (~100-nm-thick) of a high-atomic-number material in a Cu/HfO2/$\text{p}^{+}$-Si stack to detect gamma-ray irradiation doses as low as ~30 mGy. The device leverages the unique properties of memristors, which exhibit a change in the resistance state upon applying an external electrical bias. This characteristic makes them well suited for dosimetry applications as the radiation exposure induces a change in the programming voltage ${V}_{{\text {SET}}}$. Our experiments reveal, on average, a 60% or more decrease in ${V}_{{\text {SET}}}$ in response to gamma-ray irradiation, covering a dose range of 30–850 mGy. These results highlight the potential of memristive sensing as a valuable tool for monitoring radiation exposure in space, safeguarding both individuals and electronics from its detrimental effects. In addition to the experimental findings, coupled radiation transport and radiation damage cascade simulations performed provide energy deposition, ionization, and defect distributions in the stack, yielding new insights into the device’s response to ionizing radiation. This combined approach aims at enhancing our understanding of the underlying processes and further optimizing the memristive sensing capability for radiation monitoring in space missions.
dc.description.provenanceSubmitted by İsmail Akdağ (ismail.akdag@bilkent.edu.tr) on 2025-02-20T09:25:07Z No. of bitstreams: 1 HfO₂-Based_Memristors_for_Gamma-Ray_Detection_An_Experimental_and_Computational_Investigation.pdf: 17183991 bytes, checksum: b04a63af6a443731d5353cb187cda431 (MD5)en
dc.description.provenanceMade available in DSpace on 2025-02-20T09:25:07Z (GMT). No. of bitstreams: 1 HfO₂-Based_Memristors_for_Gamma-Ray_Detection_An_Experimental_and_Computational_Investigation.pdf: 17183991 bytes, checksum: b04a63af6a443731d5353cb187cda431 (MD5) Previous issue date: 2024-02-01en
dc.identifier.doi10.1109/JSEN.2023.3339796
dc.identifier.eissn1558-1748
dc.identifier.issn1530-437X
dc.identifier.urihttps://hdl.handle.net/11693/116483
dc.language.isoEnglish
dc.publisherIEEE
dc.relation.isversionofhttps://dx.doi.org/10.1109/JSEN.2023.3339796
dc.rightsCC BY-NC-ND (Attribution-NonCommercial-NoDerivs 4.0 International)
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.en
dc.source.titleIEEE Sensors Journal
dc.subjectDosimetry
dc.subjectGamma-ray detection
dc.subjectMemristors
dc.subjectMonte Carlo simulations
dc.titleHfO₂-based memristors for gamma-ray detection: An experimental and computational investigation
dc.typeArticle

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