Estimating Preisach Density via Subset Selection
Preisach density is drawing increasing attention for interpreting material properties for memory and storage electronics. Preisach density can be linked to the observed hysteresis loops via the Preisach model that is based on the superposition of relay operators. Reconstructing Preisach density from...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9047961/ |
| _version_ | 1818735533008879616 |
|---|---|
| author | Xin Li Dohyung Kim Sabine M. Neumayer Mahshid Ahmadi Sergei V. Kalinin |
| author_facet | Xin Li Dohyung Kim Sabine M. Neumayer Mahshid Ahmadi Sergei V. Kalinin |
| author_sort | Xin Li |
| collection | DOAJ |
| description | Preisach density is drawing increasing attention for interpreting material properties for memory and storage electronics. Preisach density can be linked to the observed hysteresis loops via the Preisach model that is based on the superposition of relay operators. Reconstructing Preisach density from hysteresis is an ill-posed problem with nonunique solutions. To alleviate ambiguities, we address Preisach density reconstruction as a constrained subset selection task utilizing structured sparsity regularizations. We validate our approach under various simulation settings and apply it on experimental band-excitation piezoresponse spectroscopy (BEPS) datasets to gain insights in microstructure-dependent properties of the tip-surface contact. |
| first_indexed | 2024-12-18T00:22:46Z |
| format | Article |
| id | doaj.art-37ed30f939174b55928c3c795814aaf8 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-18T00:22:46Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-37ed30f939174b55928c3c795814aaf82022-12-21T21:27:18ZengIEEEIEEE Access2169-35362020-01-018617676177410.1109/ACCESS.2020.29833649047961Estimating Preisach Density via Subset SelectionXin Li0https://orcid.org/0000-0002-4546-9537Dohyung Kim1https://orcid.org/0000-0002-1586-1466Sabine M. Neumayer2https://orcid.org/0000-0002-8167-1230Mahshid Ahmadi3https://orcid.org/0000-0002-3268-7957Sergei V. Kalinin4https://orcid.org/0000-0001-5354-6152Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, TN, USAMaterial Science and Engineering Department, Joint Institute for Advanced Materials, University of Tennessee, Knoxville, TN, USACenter for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, TN, USAMaterial Science and Engineering Department, Joint Institute for Advanced Materials, University of Tennessee, Knoxville, TN, USACenter for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, TN, USAPreisach density is drawing increasing attention for interpreting material properties for memory and storage electronics. Preisach density can be linked to the observed hysteresis loops via the Preisach model that is based on the superposition of relay operators. Reconstructing Preisach density from hysteresis is an ill-posed problem with nonunique solutions. To alleviate ambiguities, we address Preisach density reconstruction as a constrained subset selection task utilizing structured sparsity regularizations. We validate our approach under various simulation settings and apply it on experimental band-excitation piezoresponse spectroscopy (BEPS) datasets to gain insights in microstructure-dependent properties of the tip-surface contact.https://ieeexplore.ieee.org/document/9047961/Hysteresis modelpreisach densitysubset selectionband-excitation piezoresponse spectroscopy |
| spellingShingle | Xin Li Dohyung Kim Sabine M. Neumayer Mahshid Ahmadi Sergei V. Kalinin Estimating Preisach Density via Subset Selection IEEE Access Hysteresis model preisach density subset selection band-excitation piezoresponse spectroscopy |
| title | Estimating Preisach Density via Subset Selection |
| title_full | Estimating Preisach Density via Subset Selection |
| title_fullStr | Estimating Preisach Density via Subset Selection |
| title_full_unstemmed | Estimating Preisach Density via Subset Selection |
| title_short | Estimating Preisach Density via Subset Selection |
| title_sort | estimating preisach density via subset selection |
| topic | Hysteresis model preisach density subset selection band-excitation piezoresponse spectroscopy |
| url | https://ieeexplore.ieee.org/document/9047961/ |
| work_keys_str_mv | AT xinli estimatingpreisachdensityviasubsetselection AT dohyungkim estimatingpreisachdensityviasubsetselection AT sabinemneumayer estimatingpreisachdensityviasubsetselection AT mahshidahmadi estimatingpreisachdensityviasubsetselection AT sergeivkalinin estimatingpreisachdensityviasubsetselection |