Tootfinder

Reconfigurable three dimensional magnetic nanoarchitectures
Sabri Koraltan, Fabrizio Porrati, Robert Kraft, Sven Barth, Markus Weigand, Claas Abert, Dieter Suess, Michael Huth, Sebastian Wintz
https://arxiv.org/abs/2506.14383

Reconfigurable three dimensional magnetic nanoarchitectures
Three-dimensional (3D) nanomagnetism is a rapidly developing field within magnetic materials research, where exploiting the third dimension unlocks opportunities for innovative applications in areas such as sensing, data storage, and neuromorphic computing. Among various fabrication techniques, focused electron beam-induced deposition (FEBID) offers high flexibility in creating complex 3D nanostructures with sub-100 nm resolution. A key challenge in the development of 3D nanomagnets is the abil…

Information dynamics, natural computing and Maxwell's demon in two skyrmions system
Yoshishige Suzuki, Hiroki Mori, Soma Miki, Kota Emoto, Ryo Ishikawa, Eiiti Tamura, Hikaru Nomura, Minori Goto
https://arxiv.org/abs/2506.12881

Information dynamics, natural computing and Maxwell's demon in two skyrmions system
The probabilistic information flow and natural computational capability of a system with two magnetic skyrmions at room temperature have been experimentally evaluated. Based on this evaluation, an all-solid-state built-in Maxwell's demon operating at room temperature is also proposed. Probabilistic behavior has gained attention for its potential to enable unconventional computing paradigms. However, information propagation and computation in such systems are more complex than in conventional co…

Magnetic field-free braiding and nontrivial fusion of Majorana bound states in high-temperature planar Josephson junctions
Pankaj Sharma, Narayan Mohanta
https://arxiv.org/abs/2506.04338

Magnetic field-free braiding and nontrivial fusion of Majorana bound states in high-temperature planar Josephson junctions
Demonstration of non-Abelian statistics of zero-energy Majorana bound states (MBS) is crucial for long-sought-after decoherence-free topological quantum computing. The ability to move the MBS on a two-dimensional platform such as a planar Josephson junction is practically constrained by a fixed direction of applied magnetic field. In addition, the detrimental effects of the magnetic field on proximity-induced superconductivity in semiconductor-superconductor heterostructures is an outstanding p…

This https://arxiv.org/abs/2409.09268 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Spintronic Neuron Using a Magnetic Tunnel Junction for Low-Power Neuromorphic Computing
This paper proposes a novel spiking artificial neuron design based on a combined spin valve/magnetic tunnel junction (SV/MTJ). Traditional hardware used in artificial intelligence and machine learning faces significant challenges related to high power consumption and scalability. To address these challenges, spintronic neurons, which can mimic biologically inspired neural behaviors, offer a promising solution. We present a model of an SV/MTJ-based neuron which uses technologies that have been s…

Radiation GRMHD Models of Accretion onto Stellar-Mass Black Holes: I. Survey of Eddington Ratios
Lizhong Zhang, James M. Stone, Patrick D. Mullen, Shane W. Davis, Yan-Fei Jiang, Christopher J. White
https://arxiv.org/abs/2506.02289

Radiation GRMHD Models of Accretion onto Stellar-Mass Black Holes: I. Survey of Eddington Ratios
We summarize results from a survey of radiation-dominated black hole accretion flows across a wide range of mass accretion rates, as well as two values of black hole spin and initial magnetic field geometry. These models apply an algorithm targeting direct solutions to the radiation transport equation in full general relativity and have been enabled by access to modern exascale computing systems. Super-Eddington accretion flows form geometrically thick radiation pressure supported disks that dr…

This https://arxiv.org/abs/2209.09443 has been replaced.
link: https://scholar.google.com/scholar?q=a

Cryogenic in-memory computing using magnetic topological insulators
Machine learning algorithms have been proven effective for essential quantum computation tasks such as quantum error correction and quantum control. Efficient hardware implementation of these algorithms at cryogenic temperatures is essential. Here, we utilize magnetic topological insulators as memristors (termed magnetic topological memristors) and introduce a cryogenic in-memory computing scheme based on the coexistence of the chiral edge state and the topological surface state. The memristive…

This https://arxiv.org/abs/2505.19636 has been replaced.
initial toot: https://mastoxiv.page/@a…

Longitudinal magnetoconductivity in chiral multifold semimetals exemplified by pseudospin-1 nodal points
We embark on computing the longitudinal magnetoconductivity within the semiclassical Boltzmann formalism, where an isotropic triple-point semimetal (TSM) is subjected to collinear electric ($\boldsymbol E $) and magnetic ($\boldsymbol B$) fields. Except for the Drude part, the $B$-dependence arises exclusively from topological properties like the Berry curvature and the orbital magnetic moment. We solve the Boltzmann equations exactly in the linear-response regime, applicable in the limit of we…

This https://arxiv.org/abs/2411.10437 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Nitrogen vacancy center in diamond-based Faraday magnetometer
The nitrogen vacancy (NV) center in diamond is a versatile color center used for magnetometry, quantum computing, and quantum communications. In this article, using a single laser beam as a pump and probe, we measure the spin states of the NV center using the Faraday effect and use such measurements to develop a novel magnetic field sensor. Using the spin-state-dependent effect on the left and right circularly polarized light, we probe and confirm the existence of spin-orbit coupling in the NV …