Machine learning for improved current-density reconstruction from two-dimensional vector magnetic images. Reed, N. R., Bhutto, D., Turner, M. J., Daly, D. M., Oliver, S. M., Tang, J., Olsson, K. S., Langellier, N., Ku, M. J., Rosen, M. S., & Walsworth, R. L. Phys. Rev. Appl., 23:034035, American Physical Society, Mar, 2025.
Link
Pdf doi bibtex 21 downloads @article{REED2025,
title = {Machine learning for improved current-density reconstruction from two-dimensional vector magnetic images},
author = {Reed, Niko R. and Bhutto, Danyal and Turner, Matthew J. and Daly, Declan M. and Oliver, Sean M. and Tang, Jiashen and Olsson, Kevin S. and Langellier, Nicholas and Ku, Mark J.H. and Rosen, Matthew S. and Walsworth, Ronald L.},
journal = {Phys. Rev. Appl.},
volume = {23},
issue = {3},
pages = {034035},
numpages = {16},
year = {2025},
month = {Mar},
publisher = {American Physical Society},
doi = {10.1103/PhysRevApplied.23.034035},
url_link = {https://link.aps.org/doi/10.1103/PhysRevApplied.23.034035},
url_pdf = {https://blog.umd.edu/walsworth/files/2025/03/2025_Reed_PRApplied.pdf},
keywords={quantum_sensing},
}
Downloads: 21
{"_id":"NxX9fneaaab7bD5nS","bibbaseid":"reed-bhutto-turner-daly-oliver-tang-olsson-langellier-etal-machinelearningforimprovedcurrentdensityreconstructionfromtwodimensionalvectormagneticimages-2025","author_short":["Reed, N. R.","Bhutto, D.","Turner, M. J.","Daly, D. M.","Oliver, S. M.","Tang, J.","Olsson, K. S.","Langellier, N.","Ku, M. J.","Rosen, M. S.","Walsworth, R. L."],"bibdata":{"bibtype":"article","type":"article","title":"Machine learning for improved current-density reconstruction from two-dimensional vector magnetic images","author":[{"propositions":[],"lastnames":["Reed"],"firstnames":["Niko","R."],"suffixes":[]},{"propositions":[],"lastnames":["Bhutto"],"firstnames":["Danyal"],"suffixes":[]},{"propositions":[],"lastnames":["Turner"],"firstnames":["Matthew","J."],"suffixes":[]},{"propositions":[],"lastnames":["Daly"],"firstnames":["Declan","M."],"suffixes":[]},{"propositions":[],"lastnames":["Oliver"],"firstnames":["Sean","M."],"suffixes":[]},{"propositions":[],"lastnames":["Tang"],"firstnames":["Jiashen"],"suffixes":[]},{"propositions":[],"lastnames":["Olsson"],"firstnames":["Kevin","S."],"suffixes":[]},{"propositions":[],"lastnames":["Langellier"],"firstnames":["Nicholas"],"suffixes":[]},{"propositions":[],"lastnames":["Ku"],"firstnames":["Mark","J.H."],"suffixes":[]},{"propositions":[],"lastnames":["Rosen"],"firstnames":["Matthew","S."],"suffixes":[]},{"propositions":[],"lastnames":["Walsworth"],"firstnames":["Ronald","L."],"suffixes":[]}],"journal":"Phys. Rev. Appl.","volume":"23","issue":"3","pages":"034035","numpages":"16","year":"2025","month":"Mar","publisher":"American Physical Society","doi":"10.1103/PhysRevApplied.23.034035","url_link":"https://link.aps.org/doi/10.1103/PhysRevApplied.23.034035","url_pdf":"https://blog.umd.edu/walsworth/files/2025/03/2025_Reed_PRApplied.pdf","keywords":"quantum_sensing","bibtex":"@article{REED2025,\n title = {Machine learning for improved current-density reconstruction from two-dimensional vector magnetic images},\n author = {Reed, Niko R. and Bhutto, Danyal and Turner, Matthew J. and Daly, Declan M. and Oliver, Sean M. and Tang, Jiashen and Olsson, Kevin S. and Langellier, Nicholas and Ku, Mark J.H. and Rosen, Matthew S. and Walsworth, Ronald L.},\n journal = {Phys. Rev. Appl.},\n volume = {23},\n issue = {3},\n pages = {034035},\n numpages = {16},\n year = {2025},\n month = {Mar},\n publisher = {American Physical Society},\n doi = {10.1103/PhysRevApplied.23.034035},\n url_link = {https://link.aps.org/doi/10.1103/PhysRevApplied.23.034035},\n url_pdf = {https://blog.umd.edu/walsworth/files/2025/03/2025_Reed_PRApplied.pdf},\n keywords={quantum_sensing},\n}\n\n\n","author_short":["Reed, N. R.","Bhutto, D.","Turner, M. J.","Daly, D. M.","Oliver, S. M.","Tang, J.","Olsson, K. S.","Langellier, N.","Ku, M. J.","Rosen, M. S.","Walsworth, R. L."],"key":"REED2025","id":"REED2025","bibbaseid":"reed-bhutto-turner-daly-oliver-tang-olsson-langellier-etal-machinelearningforimprovedcurrentdensityreconstructionfromtwodimensionalvectormagneticimages-2025","role":"author","urls":{" link":"https://link.aps.org/doi/10.1103/PhysRevApplied.23.034035"," pdf":"https://blog.umd.edu/walsworth/files/2025/03/2025_Reed_PRApplied.pdf"},"keyword":["quantum_sensing"],"metadata":{"authorlinks":{}},"downloads":21},"bibtype":"article","biburl":"https://drive.google.com/uc?export=download&id=1QyJkCmdgJBm8lC9xLvgf-GcpeQoc6gIk","dataSources":["jnLfLa9ACyvveWMX8"],"keywords":["quantum_sensing"],"search_terms":["machine","learning","improved","current","density","reconstruction","two","dimensional","vector","magnetic","images","reed","bhutto","turner","daly","oliver","tang","olsson","langellier","ku","rosen","walsworth"],"title":"Machine learning for improved current-density reconstruction from two-dimensional vector magnetic images","year":2025,"downloads":21}