Marco Nordmann1,Peter Rickhaus1,Umberto Celano2,Liza zaper3,1,Alexander Stark1,Mathieu Munsch1,Hai Zhong1,Martino Poggio3,Christoph Adelmann2,Paul van der Heide2,Aurore Finco4,Vincent Jacques4,Vincent Garcia5,Patrick Maletinsky3,1
Qnami AG1,imec2,University of Basel3,Universite' de Montpellier4,CNRS Thales5
Marco Nordmann1,Peter Rickhaus1,Umberto Celano2,Liza zaper3,1,Alexander Stark1,Mathieu Munsch1,Hai Zhong1,Martino Poggio3,Christoph Adelmann2,Paul van der Heide2,Aurore Finco4,Vincent Jacques4,Vincent Garcia5,Patrick Maletinsky3,1
Qnami AG1,imec2,University of Basel3,Universite' de Montpellier4,CNRS Thales5
To improve magnetic memories, significant efforts are made to reduce the size and spacing of magnetic bits. This implies that failures and defects can only be discovered with a non-invasive technique that can resolve small magnetic fields with high spatial resolution. Scanning NV magnetometry (SNVM) is the emerging quantum sensing technique that offers the required sensitivity.<br/>We will demonstrate magnetic images of a few hot candidate materials for future magnetic memory devices.We will look at memory bits in antiferromagnetic chromia, antiferromagnetic cycloids in BiFeO3 [1], cobalt nanomagnets and ultra-scaled CoFeB nanowires [2]. We will reveal magnetic textures that are undetectable with standard characterization techniques. In this context, we will more broadly discuss the potential of SNVM as a powerful magnetic characterization tool.<br/><br/>[1] Phys. Rev. Applied 17, 044051 (2022)<br/>[2] Nano Lett. 21, 24, 10409–10415 (2021)