Antiferromagnetic Spin Orientation and Magnetic Domain Structure in Epitaxially Grown MnN Studied using Optical Second Harmonic Generation

Posted by klaurent Cornell

Kavli Affiliate: Farhan Rana | First 5 Authors: Joongwon Lee, Zexuan Zhang, Huili Xing, Debdeep Jena, Farhan Rana | Summary: MnN is a centrosymmetric collinear antiferromagnet belonging to the transition metal nitride family with a high Neel temperature, a low anisotropy field, and a large magnetic moment per Mn atom. Despite several recent experimental and […]


Continue.. Antiferromagnetic Spin Orientation and Magnetic Domain Structure in Epitaxially Grown MnN Studied using Optical Second Harmonic Generation

Antiferromagnetic Spin Orientation and Magnetic Domain Structure in Epitaxially Grown MnN Studied using Optical Second Harmonic Generation

Posted by klaurent Cornell

Kavli Affiliate: Farhan Rana | First 5 Authors: Joongwon Lee, Zexuan Zhang, Huili Xing, Debdeep Jena, Farhan Rana | Summary: MnN is a centrosymmetric collinear antiferromagnet belonging to the transition metal nitride family with a high Neel temperature, a low anisotropy field, and a large magnetic moment per Mn atom. Despite several recent experimental and […]


Continue.. Antiferromagnetic Spin Orientation and Magnetic Domain Structure in Epitaxially Grown MnN Studied using Optical Second Harmonic Generation

Altered basal ganglia output during self-restraint

Posted by klaurent UCSD / Salk

Kavli Affiliate: Joshua Berke | Authors: Bon-Mi Gu and Joshua D. Berke | Summary: Suppressing actions is essential for flexible behavior. Multiple neural circuits involved in behavioral inhibition converge upon a key basal ganglia output nucleus, the substantia nigra pars reticulata (SNr). To examine how changes in basal ganglia output contribute to self-restraint, we recorded […]


Continue.. Altered basal ganglia output during self-restraint

Rare CNVs and phenome-wide profiling: a tale of brain-structural divergence and phenotypical convergence

Posted by klaurent Hopkins

Kavli Affiliate: David Linden | Authors: J. Kopal, K. Kumar, K. Saltoun, C. Modenato, C. A. Moreau, S. Martin-Brevet, G. Huguet, M. Jean-Louis, C.O. Martin, Z. Saci, N. Younis, P. Tamer, E. Douard, A. M. Maillard, B. Rodriguez-Herreros, A. Pain, S. Richetin, 16p11.2 European Consortium, Simons Searchlight Consortium, L. Kushan, A. I. Silva, M. B. […]


Continue.. Rare CNVs and phenome-wide profiling: a tale of brain-structural divergence and phenotypical convergence

Flexible utilization of spatial- and motor-based codes for the storage of visuo-spatial information

Posted by klaurent UCSD / Salk

Kavli Affiliate: John Serences | Authors: Margaret M. Henderson, Rosanne L. Rademaker and John T. Serences | Summary: Working memory provides flexible storage of information in service of upcoming behavioral goals. Some models propose specific fixed loci and mechanisms for the storage of visual information in working memory, such as sustained spiking in parietal and […]


Continue.. Flexible utilization of spatial- and motor-based codes for the storage of visuo-spatial information

Projective LDDMM: Mapping Molecular Digital Pathology with Tissue MRI

Posted by klaurent Hopkins

Kavli Affiliate: Michael Miller, Menno Witter | Authors: Kaitlin Stouffer, Menno Witter, Daniel Tward and Michael Miller | Summary: Reconstructing dense 3D anatomical coordinates from 2D projective measurements has become a central problem in both mouse and human digital pathology. We describe a new family of diffeomorphic mapping technologies called Projective LDDMM which generate diffeomorphic […]


Continue.. Projective LDDMM: Mapping Molecular Digital Pathology with Tissue MRI

Quantifying non-stabilizerness via information scrambling

Posted by dbos Delft

Kavli Affiliate: Eliska Greplova | First 5 Authors: Arash Ahmadi, Eliska Greplova, , , | Summary: The advent of quantum technologies brought forward much attention to the theoretical characterization of the computational resources they provide. A method to quantify quantum resources is to use a class of functions called magic monotones and stabilizer entropies, which […]


Continue.. Quantifying non-stabilizerness via information scrambling

Quantifying non-stabilizerness via information scrambling

Posted by dbos Delft

Kavli Affiliate: Eliska Greplova | First 5 Authors: Arash Ahmadi, Eliska Greplova, , , | Summary: The advent of quantum technologies brought forward much attention to the theoretical characterization of the computational resources they provide. A method to quantify quantum resources is to use a class of functions called magic monotones and stabilizer entropies, which […]


Continue.. Quantifying non-stabilizerness via information scrambling

Quantifying non-stabilizerness efficiently via information scrambling

Posted by klaurent Delft

Kavli Affiliate: Eliska Greplova | First 5 Authors: Arash Ahmadi, Eliska Greplova, , , | Summary: The advent of quantum technologies brought forward much attention to the theoretical characterization of the computational resources they provide. A method to quantify quantum resources is to use a class of functions called magic monotones, which are, however, notoriously […]


Continue.. Quantifying non-stabilizerness efficiently via information scrambling