/Online Seminars

On-line SPICE-SPIN+X Seminars

On-line Seminar: 30.09.2020 - 15:00 (CET)

Light wave dynamics driving attosecond coherent spins and topological systems

Markus Münzenberg, Greifswald University

Ultrafast magnetism and THz spintronics allows meanwhile insightful concepts on spin-waves heating and spin-currents on femtosecond timescales. We think of novel applications and new proof of concept studies for ultrafast spintronic devices [1,2,3].

New experimental approaches allows to go even faster. Central is the light wave oscillating at attoseconds that drives the dynamics and spin response depends on the energy transfer from the laser excited electrons to the spins. It seems thus appealing to study ultrafast spin dynamics on these time scales, in order to see if the spin response can be detected coherent to the light waves’s oscillation.

Attosecond lasers are breaking new frontiers. We demonstrate coherent charge transfer, driven by a few cycle laser pulse in a spintronic layered device. This allows to drive coherent attosecond magnetism [4]. Experimental and theoretical sides of the study revealing coherent electron transfer at interfaces, and I will connect this to possible applications of coherent processes and light driven topological dynamics and spintronic devices going into wave-cycle operation.

[1] J. Walowski and M. Münzenberg, Perspective: Ultrafast magnetism and THz spintronics, J. Appl. Phys. 120 140901 (2016)
[2] T. Kampfrath, et al. Terahertz spin current pulses controlled by magnetic heterostructures, Nature Nanotech. 8, 256 (2013)
[3] T. Seifert, et al. Efficient metallic spintronic emitters of ultrabroadband terahertz radiation, Nature Photon. 10, 483–488 (2016)
[4] F. Siegrist et al., Light-wave dynamic control of magnetism, Nature 571 (2019)

PDF file of the talk available here

On-line SPICE-SPIN+X Seminars

On-line Seminar: 14.10.2020 - 15:00 (CET)

Current fluctuations driven by ferromagnetic and antiferromagnetic resonance

Arne Brataas, NTNU Trondheim

When spins in magnetic materials precess, they emit currents into the surrounding conductors. We will explain how dynamical magnets also induce current noise. The shot noise characterizes and detects magnetic resonance and new aspects of electron transport in magnetic nanostructures.

We generalize the description of current fluctuations driven by spin dynamics in three ways using scattering theory. First, our approach describes a general junction with any given electron scattering properties. Second, we consider antiferromagnets as well as ferromagnets. Third, we treat multiterminal devices.

We give results for various junctions, such as ballistic and disordered contacts. Finally, we discuss the experimental consequences.

PDF file of the talk available here

On-line SPICE-SPIN+X Seminars

On-line Seminar: 16.09.2020 - 15:00 (CET)

Beyond Heisenberg Solids: From Multi-Spin Interactions to Novel Chiral Particles

Stefan Blügel, FZ Juelich

 

It became customary to study the stability, lifetime, dynamics, thermodynamics and transport properties of localized nanoscale magnetization particles such as skyrmionics by classical spin-lattice models with pairwise Heisenberg-type exchange interactions. The mapping of fermionic many-body systems onto a classical Heisenberg model is a nontrivial thing and by far not unique. In this presentation I motivate beyond Heisenberg multi-spin interactions [1]. I give examples, where these interactions play a decisive role [2]. I focus on MnGe in the B20- phase, which exhibits a three-dimensional spin-texture. We introduce a novel class of magnetic exchange interactions [3] – the topological-chiral interactions (TCI) rooted in the so- called topological orbital moment, which manifests as a result of finite scalar spin chirality in non-coplanar magnets. The long-wave length limit of the interactions relates to the highly acclaimed Faddeev model demonstrating that the interaction is an origin of 3D magnetization textures all the way down to hopfions.

[1] M. Hoffmann, S. Blügel, PRB 10, 024418 (2019).
[2] A. Krönlein, M. Schmitt, M. Hoffmann, J. Kemmer, N. Seubert, M. Vogt, J. Küspert, M. Böhme, B. Alonazi, J. Kügel, H. A. Albrithen, M. Bode, G. Bihlmayer, and S. Blügel, PRL 120, 207202 (2018).
[3] S. Grytsiuk, J.-P. Hanke, M. Hoffmann, J. Bouaziz, O. Gomonay, G. Bihlmayer, S. Lounis, Y. Mokrousov, S. Blügel, Nat. Commun. 11, 511 (2020).

PDF file of the talk available here

On-line SPICE-SPIN+X Seminars

On-line Seminar: 23.09.2020 - 15:00 (CET)

Spintronics Nanodevice
- How small can we make it and what else can we use it for -

Hideo Ohno, Tohoku University

Development of spintronics nonvolatile nanodevices and their integration with CMOS circuits has resulted in realizing low-energy, yet high performance integrated circuits suitable for a number of applications such as Internet-of-Things (IoT), high-performance computing and artificial intelligence. Magnetic tunnel junction (MTJ), a spintronics device, plays a central role here, which has been shown to scale down to 20 nm with the perpendicular-easy-axis CoFeB-MgO system [1, 2]. I will first discuss the factors that limit the scalability of such MTJs. Then show how one can extend its scalability to the range of 4-8 nm and below [3, 4] by employing a new (and yet not so new) concept. Current-induced switching of magnetization and high thermal stability of these devices are also shown. I will then describe how one can use less stable MTJs for a novel form of computation, probabilistic computing, to address optimization problems. I show that one can formulate integer factorization as an optimization problem in such a way that the most preferred state in terms of energy gives the factorized result [5]. If I have time I will touch upon proof-of-concept spintronics devices for artificial synapse as well as neuron for neuromorphic applications [6, 7].
Work done in collaboration with S. Fukami and the CSIS team. A portion of the work described here is a result of collaboration with A. Z. Pervaiz, K. Y. Camsari, and S. Datta of Purdue University. Supported in part by the ImPACT Program of CSTI, JST-OPERA JPMJOP1611 and Grant-in-Aid for Specially Promoted Research (17H06093).

References
[1] S. Ikeda, et al. Nature Materials, 9, 721 (2010).
[2] H. Sato, et al. IEDM 2013 and Appl. Phys. Lett. 105, 062403 (2014).
[3] K. Watanabe, et al. Nature Commun. 9, 663 (2018).
[4] B. Jinnai, et al. Appl. Phys. Lett. (Perspective), 116, 160501 (2020).
[5] W. A. Borders, et al. Nature 573, 390-393 (2019).
[6] W. A. Borders et al. Appl. Phys. Express 10, 013007 (2017).
[7] A. Kurenkov, et al. Advanced Materials 31, 1900636 (2019).

PDF file of the talk available here

On-line SPICE-SPIN+X Seminars

On-line Seminar: 02.09.2020 - 15:00 (CET)

Spintronic devices for artificial neural networks

Saima Siddiqui, University of Illinois

Spintronics promises intriguing device paradigms where electron spin is used as the information token instead of its charge counterpart. In the future cognitive era, nonvolatile magnetic memories hold the key to solve the bottleneck in the computational performance due to data shuttling between the processing and the memory units. The application of spintronic devices for these purposes requires versatile, scalable device design that is adaptable to emerging material physics. We design, model and experimentally demonstrate spin orbit torque induced magnetic domain wall devices as the building blocks (i.e. linear synaptic weight generator and the nonlinear activation function generator) for in-memory computing, in particular for artificial neural networks. Spin orbit torque driven magnetic tunnel junctions show great promise as energy efficient emerging nonvolatile logic and memory devices. In addition to its energy efficiency, we take advantage of the spin orbit torque induced domain wall motion in magnetic nanowires to demonstrate the linear change in resistance of the synaptic devices. Modifying the spin-orbit torque from a heavy metal or utilizing the size dependent magnetoresistance of tunnel junctions, we also demonstrate a nonlinear activation function for thresholding signals (analog or digitized) between layers for deep learning. A complete neuromorphic hardware accelerator using embedded nonvolatile magnetic domain wall devices can revolutionize computer architectures by embedding memory into logic circuits in a fine grained fashion.

PDF file of the talk available here

 

On-line SPICE-SPIN+X Seminars

On-line Seminar: 09.09.2020 - 15:00 (CET)

Long-Range Phonon Spin Transport

Rembert Duine, Utrecht University

One of the goals of spintronics is to achieve dissipationless spin currents. In this talk, I will discuss phonon spin transport in an insulating ferromagnet-nonmagnet-ferromagnet heterostructure. I will discuss how the magnetoelastic interaction between the spins and the phonons leads to nonlocal spin transfer between the magnets. This transfer is mediated by a local phonon spin current and accompanied by a phonon spin accumulation. The spin conductance depends nontrivially on the system size, and decays over millimeter length scales for realistic material parameters, far exceeding the decay lengths of magnonic spin currents.

 

 

 

 

PDF file of the talk available here

 

On-line SPICE-SPIN+X Seminars

On-line Seminar: 19.08.2020 - 15:00 (CET)

Antiferromagnetic Insulatronics: Spintronics without magnetic fields

Mathias Kläui, JGU Mainz

While known for a long time, antiferromagnetically ordered systems have previously been considered, as expressed by Louis Néel in his Nobel Prize Lecture, to be “interesting but useless”. However, since antiferromagnets potentially promises faster operation, enhanced stability with respect to interfering magnetic fields and higher integration due to the absence of dipolar coupling, they could potentially become a game changer for new spintronic devices. The zero net moment makes manipulation using conventional magnetic fields challenging. However recently, these materials have received renewed attention due to possible manipulation based on new approaches such as photons [1] or spin-orbit torques [2].

In this talk, we will present an overview of the key features of antiferromagnets to potentially functionalize their unique properties. This includes writing, reading and transporting information using antiferromagnets.

We recently realized switching in the metallic antiferromagnet Mn2Au by intrinsic staggered spin-orbit torques [3,4] and characterize the switching properties by direct imaging. While switching by staggered intrinsic spin-orbit torques in metallic AFMs requires special structural asymmetry, interfacial non-staggered spin-orbit torques can switch multilayers of many insulating AFMs capped with heavy metal layers.

We probe switching and spin transport in selected collinear insulating antiferromagnets, such as NiO [5-7], CoO [8,9] and hematite [10,11]. In NiO and CoO we find that there are multiple switching mechanisms that result in the reorientation of the Néel vector and additionally effects related to electromigration of the heavy metal layer can obscure the magnetic switching [5,7,9]. For the spin transport, spin currents are generated by heating as resulting from the spin Seebeck effect and by spin pumping measurements and we find in vertical transport short (few nm) spin diffusion lengths [6,8].

For hematite, however, we find in a non-local geometry that spin transport of tens of micrometers is possible [10,11]. We detect a first harmonic signal, related to the spin conductance, that exhibits a maximum at the spin-flop reorientation, while the second harmonic signal, related to the Spin Seebeck conductance, is linear in the amplitude of the applied magnetic field [10]. The first signal is dependent on the direction of the Néel vector and the second one depends on the induced magnetic moment due to the field. We identify the domain structure as the limiting factor for the spin transport [11]. We recently also achieved transport in the easy plane phase [12], which allows us to obtain long distance spin transport in hematite even at room temperature [12]. From the power and distance dependence, we unambiguously distinguish long-distance transport based on diffusion [10,11] from predicted spin superfluidity that can potentially be used for logic [13].
A number of excellent reviews are available for further information on recent developments in the field [14].

PDF file of the talk available here

References

[1] A. Kimel et al., Nature 429, 850 (2004).

[2] J. Zelezny et al., Phys. Rev. Lett. 113, 157201 (2014); P. Wadley et al., Science 351, 587 (2016).

[3] S. Bodnar et al., Nature Commun. 9, 348 (2018)

[4] S. Bodnar et al., Phys. Rev. B 99, 140409(R) (2019).

[5] L. Baldrati et al., Phys. Rev. Lett. 123, 177201 (2019)

[6] L. Baldrati et al., Phys. Rev. B 98, 024422 (2018); L. Baldrati et al. Phys. Rev. B 98, 014409 (2018)

[7] F. Schreiber et al., arxiv:2004.13374 (in press 2020)

[8] J. Cramer et al., Nature Commun. 9, 1089 (2018)

[9] L. Baldrati et al., Phys. Rev. Lett. 125, 077201 (2020)

[10] R. Lebrun et al., Nature 561, 222 (2018).

[11] A. Ross et al., Nano Lett. 20, 306 (2020).

[12] R. Lebrun et al., arxiv:2005.14414 (2020).

[13] Y. Tserkovnyak et al., Phys. Rev. Lett. 119, 187705 (2017).

[14] Rev. Mod. Phys. 90, 15005 (2018); Nat. Phys. 14, 200-242 (2018); Adv. Mater. 32, 1905603 (2020)

On-line SPICE-SPIN+X Seminars

On-line Seminar: 26.08.2020 - 15:00 (CET)

Magnetic Matchmaking: Hybrid Magnon Modes

Axel Hoffmann, University of Illinois

Hybrid dynamic excitations have gained increased interest due to their potential impact on coherent information processing. Towards this end, magnons, the fundamental excitation quant of magnetically ordered systems, are of particular interest, since they can be easily tuned by external magnetic fields and interact with a wide range of other excitations, such as microwave and optical photons, phonons, and other magnons.1 We have explored recently the integration of permalloy (Ni80Fe20) thin film structures into hybrid magnon systems. By combining permalloy structures with high-quality superconducting microwave resonators, we demonstrated strong magnon-photon coupling in co-planar, on-chip geometry, which is readily scalable to more complex devices.2 Furthermore, we demonstrated strong coupling of permalloy magnons to standing magnon modes in yttrium iron garnet films, which revealed the importance of dampin-like torques originating from spin pumping.3 Lastly, we demonstrated how the coupling between magnons in Ni and surface acoustic waves in LiNbO3 can be used to modulate phonon propagation.4
This work was supported by the U.S. Department of Energy, Office of Science, Materials Sciences and Engineering Division.

PDF file of the talk available here

References:
1. Y. Li, et al., arXiv:2006.16158.
2. Y. Li, et al., Phys. Rev. Lett. 123, 107701 (2019).
3. Y. Li, et al., Phys. Rev. Lett. 124, 117202 (2020).
4. C. Zhao, et al., Phys. Rev. Appl. 13, 054032 (2020).

On-line SPICE-SPIN+X Seminars

On-line Seminar: 12.08.2020 - 15:00 (CET)

Using magnetic tunnel junctions to compute like the brain

Mark Stiles, NIST

Computers, originally designed to do precise numerical processing, are now widely used to do more cognitive tasks. These include categorical challenges like image and voice recognition, as well as robotic tasks like driving a car and making real-time decisions based on sensory input. While the human brain does not do precise numerical processing well, it excels at these other tasks, leading researchers to look to the brain for inspiration on efficient ways to engineer cognitive computers. Of particular interest are energy and space optimization. Computers can now perform many of these cognitive tasks as well as humans, and often faster, but at the cost of much higher total energy consumption and much greater space. Some improvements are being found at the top of the computational stack from algorithms that are more brainlike, and some at the bottom from novel electronic devices that emulate features of the brain. However, the greatest progress can be found by working simultaneously across the computational stack.

Magnetic tunnel junctions have several features that make them attractive potential devices for these applications. One feature is that they are already integrated into fabrication plants for complementary-metal-oxide-semiconductor (CMOS) integrated circuits. They can be readily integrated with existing CMOS technology to take advantage of its many capabilities. Another feature is that they are multifunctional. With only slight changes in fabrication details, they can be modified to provide non-volatile memory, truly random thermal fluctuations, or gigahertz oscillations. Magnetic tunnel junctions can be used as a memory to store synaptic weights, but when the weights change too frequently the energy cost of repeatedly writing them becomes inefficient. Reducing the retention time of the memory reduces the cost of writing them, leading to a trade-off between energy efficiency and reliability. The seemingly random patterns of neural spike trains have inspired a number of computational approaches based on the random thermal fluctuations of superparamagnetic tunnel junctions. I discuss some of these approaches and the design choices we have made in implementing a neural network based on superparamagnetic tunnel junctions.

PDF file of the talk available here

On-line SPICE-SPIN+X Seminars

On-line Seminar: 29 July 2020 - 15:00 (CET)

Macroscopic magnonic quantum states

Burkard Hillebrands, Technische Universität Kaiserslautern

Finding new ways for fast and efficient processing and transfer of data is one the most challenging tasks nowadays. Elementary spin excitations ‒ magnons (spin wave quanta) ‒ open up very promising directions of high-speed and low-power information processing.
Magnons are bosons, and thus they can spontaneously form a spatially extended coherent ground state ‒ a Bose-Einstein condensate (BEC) – which can be established independently of the magnon excitation mechanism even at room temperature. An extraordinary challenge is the use of macroscopic quantum phenomena such as the magnon BEC for the information transfer and processing.
Very promising is the use of magnon supercurrents driven by a phase gradient in the magnon BEC. Imposing such a phase gradient onto the BEC’s wave function we have found using Brillouin light scattering spectroscopy that local heating by a probing laser beam leads to an excessive decay of the freely evolving magnon BEC. This is a fingerprint of the supercurrent efflux of condensed magnons. Moreover, we revealed that the condensed magnons being pushed out from the heated area form compact density humps, which propagate over long distances through the thermally homogeneous magnetic medium. We refer to them as a superposition of Bogoliubov waves with oscillations of both the amplitude and the phase of the magnon BEC’s wave function. In the long-wavelength limit, these waves have a linear dispersion law and can be considered as a magnon second sound potentially featuring viscosity-free propagation.
A further consequence of a magnon BEC is the prediction of the existence of a magnon ac Josephson effect. Recently, we discovered this effect in a room-temperature magnon BEC. The magnon condensate was prepared in a parametrically populated magnon gas around a potential trench created by a dc electric current. The appearance of the magnonic Josephson effect is manifested by oscillations of the magnon BEC density in the trench, caused by a coherent phase shift between magnon condensates from the left and right zones of the trench.

 

PDF file of the talk available here