12 results on '"Shaw, J. M."'
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2. Key points in the determination of the interfacial Dzyaloshinskii-Moriya interaction from asymmetric bubble domain expansion
- Author
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Magni, A., Carlotti, G., Casiraghi, A., Darwin, E., Durin, G., Diez, L. Herrera, Hickey, B. J., Huxtable, A., Hwang, C. Y., Jakob, G., Kim, C., Kläui, M., Langer, J., Marrows, C. H., Nembach, H. T., Ravelosona, D., Riley, G. A., Shaw, J. M., Sokalski, V., Tacchi, S., and Kuepferling, M.
- Subjects
Condensed Matter - Mesoscale and Nanoscale Physics - Abstract
Different models have been used to evaluate the interfacial Dzyaloshinskii-Moriya interaction (DMI) from the asymmetric bubble expansion method using magneto-optics. Here we investigate the most promising candidates over a range of different magnetic multilayers with perpendicular anisotropy. Models based on the standard creep hypothesis are not able to reproduce the domain wall (DW) velocity profile when the DW roughness is high. Our results demonstrate that the DW roughness and the interface roughness of the sample layers are correlated. Furthermore, we give guidance on how to obtain reliable results for the DMI value with this popular method. A comparison of the results with Brillouin light scattering (BLS) measurements on the same samples shows that the BLS approach often results in higher measured values of DMI.
- Published
- 2022
- Full Text
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3. Roadmap on Spin-Wave Computing
- Author
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Chumak, A. V., Kabos, P., Wu, M., Abert, C., Adelmann, C., Adeyeye, A., Åkerman, J., Aliev, F. G., Anane, A., Awad, A., Back, C. H., Barman, A., Bauer, G. E. W., Becherer, M., Beginin, E. N., Bittencourt, V. A. S. V., Blanter, Y. M., Bortolotti, P., Boventer, I., Bozhko, D. A., Bunyaev, S. A., Carmiggelt, J. J., Cheenikundil, R. R., Ciubotaru, F., Cotofana, S., Csaba, G., Dobrovolskiy, O. V., Dubs, C., Elyasi, M., Fripp, K. G., Fulara, H., Golovchanskiy, I. A., Gonzalez-Ballestero, C., Graczyk, P., Grundler, D., Gruszecki, P., Gubbiotti, G., Guslienko, K., Haldar, A., Hamdioui, S., Hertel, R., Hillebrands, B., Hioki, T., Houshang, A., Hu, C. -M., Huebl, H., Huth, M., Iacocca, E., Jungfleisch, M. B., Kakazei, G. N., Khitun, A., Khymyn, R., Kikkawa, T., Kläui, M., Klein, O., Kłos, J. W., Knauer, S., Koraltan, S., Kostylev, M., Krawczyk, M., Krivorotov, I. N., Kruglyak, V. V., Lachance-Quirion, D., Ladak, S., Lebrun, R., Li, Y., Lindner, M., Macêdo, R., Mayr, S., Melkov, G. A., Mieszczak, S., Nakamura, Y., Nembach, H. T., Nikitin, A. A., Nikitov, S. A., Novosad, V., Otalora, J. A., Otani, Y., Papp, A., Pigeau, B., Pirro, P., Porod, W., Porrati, F., Qin, H., Rana, B., Reimann, T., Riente, F., Romero-Isart, O., Ross, A., Sadovnikov, A. V., Safin, A. R., Saitoh, E., Schmidt, G., Schultheiss, H., Schultheiss, K., Serga, A. A., Sharma, S., Shaw, J. M., Suess, D., Surzhenko, O., Szulc, K., Taniguchi, T., Urbánek, M., Usami, K., Ustinov, A. B., van der Sar, T., van Dijken, S., Vasyuchka, V. I., Verba, R., Kusminskiy, S. Viola, Wang, Q., Weides, M., Weiler, M., Wintz, S., Wolski, S. P., and Zhang, X.
- Subjects
Physics - Applied Physics ,Condensed Matter - Other Condensed Matter - Abstract
Magnonics is a field of science that addresses the physical properties of spin waves and utilizes them for data processing. Scalability down to atomic dimensions, operations in the GHz-to-THz frequency range, utilization of nonlinear and nonreciprocal phenomena, and compatibility with CMOS are just a few of many advantages offered by magnons. Although magnonics is still primarily positioned in the academic domain, the scientific and technological challenges of the field are being extensively investigated, and many proof-of-concept prototypes have already been realized in laboratories. This roadmap is a product of the collective work of many authors that covers versatile spin-wave computing approaches, conceptual building blocks, and underlying physical phenomena. In particular, the roadmap discusses the computation operations with Boolean digital data, unconventional approaches like neuromorphic computing, and the progress towards magnon-based quantum computing. The article is organized as a collection of sub-sections grouped into seven large thematic sections. Each sub-section is prepared by one or a group of authors and concludes with a brief description of the current challenges and the outlook of the further development of the research directions., Comment: 74 pages, 57 figures, 500 references
- Published
- 2021
- Full Text
- View/download PDF
4. Oxalis OXALIDACEAE
- Author
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Shaw, J. M. H., Eggli, Urs, Series Editor, Hartmann, Heidrun E.K., Series Editor, and Nyffeler, Reto, editor
- Published
- 2023
- Full Text
- View/download PDF
5. Oxalidaceae
- Author
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Shaw, J. M. H., Eggli, Urs, Series Editor, Hartmann, Heidrun E.K., Series Editor, and Nyffeler, Reto, editor
- Published
- 2023
- Full Text
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6. Oxalis OXALIDACEAE
- Author
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Shaw, J. M. H., primary
- Published
- 2022
- Full Text
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7. From ideal to actual practice: Tailoring a clinical pathway to address anxiety or depression in patients with cancer and planning its implementation across individual clinical services
- Author
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Butow, P. N., Shepherd, H. L., Cuddy, J., Harris, M., He, S., Masya, L., Rankin, N. M., Grimison, P., Girgis, A., and Shaw, J. M.
- Published
- 2021
- Full Text
- View/download PDF
8. Key Points in the Determination of the Interfacial Dzyaloshinskii–Moriya Interaction From Asymmetric Bubble Domain Expansion
- Author
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Magni, A., primary, Carlotti, G., additional, Casiraghi, A., additional, Darwin, E., additional, Durin, G., additional, Diez, L. Herrera, additional, Hickey, B. J., additional, Huxtable, A., additional, Hwang, C. Y., additional, Jakob, G., additional, Kim, C., additional, Klaui, M., additional, Langer, J., additional, Marrows, C. H., additional, Nembach, H. T., additional, Ravelosona, D., additional, Riley, G. A., additional, Shaw, J. M., additional, Sokalski, V., additional, Tacchi, S., additional, and Kuepferling, M., additional
- Published
- 2022
- Full Text
- View/download PDF
9. Advances in Magnetics Roadmap on Spin-Wave Computing
- Author
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Chumak, A. V., primary, Kabos, P., additional, Wu, M., additional, Abert, C., additional, Adelmann, C., additional, Adeyeye, A. O., additional, Akerman, J., additional, Aliev, F. G., additional, Anane, A., additional, Awad, A., additional, Back, C. H., additional, Barman, A., additional, Bauer, G. E. W., additional, Becherer, M., additional, Beginin, E. N., additional, Bittencourt, V. A. S. V., additional, Blanter, Y. M., additional, Bortolotti, P., additional, Boventer, I., additional, Bozhko, D. A., additional, Bunyaev, S. A., additional, Carmiggelt, J. J., additional, Cheenikundil, R. R., additional, Ciubotaru, F., additional, Cotofana, S., additional, Csaba, G., additional, Dobrovolskiy, O. V., additional, Dubs, C., additional, Elyasi, M., additional, Fripp, K. G., additional, Fulara, H., additional, Golovchanskiy, I. A., additional, Gonzalez-Ballestero, C., additional, Graczyk, P., additional, Grundler, D., additional, Gruszecki, P., additional, Gubbiotti, G., additional, Guslienko, K., additional, Haldar, A., additional, Hamdioui, S., additional, Hertel, R., additional, Hillebrands, B., additional, Hioki, T., additional, Houshang, A., additional, Hu, C.-M., additional, Huebl, H., additional, Huth, M., additional, Iacocca, E., additional, Jungfleisch, M. B., additional, Kakazei, G. N., additional, Khitun, A., additional, Khymyn, R., additional, Kikkawa, T., additional, Klaui, M., additional, Klein, O., additional, Klos, J. W., additional, Knauer, S., additional, Koraltan, S., additional, Kostylev, M., additional, Krawczyk, M., additional, Krivorotov, I. N., additional, Kruglyak, V. V., additional, Lachance-Quirion, D., additional, Ladak, S., additional, Lebrun, R., additional, Li, Y., additional, Lindner, M., additional, Macedo, R., additional, Mayr, S., additional, Melkov, G. A., additional, Mieszczak, S., additional, Nakamura, Y., additional, Nembach, H. T., additional, Nikitin, A. A., additional, Nikitov, S. A., additional, Novosad, V., additional, Otalora, J. A., additional, Otani, Y., additional, Papp, A., additional, Pigeau, B., additional, Pirro, P., additional, Porod, W., additional, Porrati, F., additional, Qin, H., additional, Rana, B., additional, Reimann, T., additional, Riente, F., additional, Romero-Isart, O., additional, Ross, A., additional, Sadovnikov, A. V., additional, Safin, A. R., additional, Saitoh, E., additional, Schmidt, G., additional, Schultheiss, H., additional, Schultheiss, K., additional, Serga, A. A., additional, Sharma, S., additional, Shaw, J. M., additional, Suess, D., additional, Surzhenko, O., additional, Szulc, K., additional, Taniguchi, T., additional, Urbanek, M., additional, Usami, K., additional, Ustinov, A. B., additional, van der Sar, T., additional, van Dijken, S., additional, Vasyuchka, V. I., additional, Verba, R., additional, Kusminskiy, S. Viola, additional, Wang, Q., additional, Weides, M., additional, Weiler, M., additional, Wintz, S., additional, Wolski, S. P., additional, and Zhang, X., additional
- Published
- 2022
- Full Text
- View/download PDF
10. Roadmap on spin-wave computing
- Author
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Chumak, A. V., Kabos, P., Wu, M., Abert, C., Adelmann, C., Åkerman, J., Aliev, F. G., Anane, A., Awad, A., Back, C. H., Barman, A., Bauer, G. E. W., Becherer, M., Beginin, E. N., Bittencourt, V. A. S. V., Blanter, Y. M., Bortolotti, P., Boventer, I., Bozhko, D. A., Bunyaev, S. A., Carmiggelt, J. J., Cheenikundil, R. R., Ciubotaru, F., Cotofana, S., Csaba, G., Dobrovolskiy, O. V., Dubs, C., Elyasi, M., Fripp, K. G., Fulara, H., Golovchanskiy, I. A., Gonzalez-Ballestero, C., Graczyk, P., Grundler, D., Gruszecki, P., Hu, G. C. -M., Huebl, H., Huth, M., Iacocca, E., Jungfleisch, M. B., Kakazei, G. N., Khitun, A., Khymyn, R., Kikkawa, T., Kläui, M., Klein, O., Kłos, J. W., Knauer, S., Koraltan, S., Kostylev, M., Krawczyk, M., Kirvorotov, T., Kruglayk, V. V., Lachance-Quirion, D., Ladak, S., Lebrun, R., Li, Y., Linder, M., Macêdo, R., Mayr, S., Melkov, G. A., Mieszczak, S., Nakamura, Y., Nemback, H. T., Nikitin, A. A., Nikitov, S. A., Novosad, V., Otálora, J. A., Otani, Y., Papp, A., Pigeau, B., Pirro, P., Porod, W., Porrati, F., Qin, H., Rana, B., Reimann, T., Riente, F., Romero-Isart, O., Ross, A., Sadovnikov, A. V., Safin, A. R., Saitoh, e., Schmidt, G., Schultheiss, H., Schultheiss, K., Serga, A. A., Sharma, S., Shaw, J. M., Suess, D., Surzhenko, O., Szulc, K., Taniguchi, T., Urbánek, M., Usami, K., Ustinov, A. B., van der Sar, T., van Dijken, S., Vasyuchka, V. I., Verba, R., Kusminskiy, S. Viola, Wang, Q., Weides, M., Weiler, M., Wintz, S., Wolski, S. P., and Zhang, X.
- Abstract
Magnonics addresses the physical properties of spin waves and utilizes them for data processing. Scalability down to atomic dimensions, operation in the GHz-to-THz frequency range, utilization of nonlinear and nonreciprocal phenomena, and compatibility with CMOS are just a few of many advantages offered by magnons. Although magnonics is still primarily positioned in the academic domain, the scientific and technological challenges of the field are being extensively investigated, and many proof-of-concept prototypes have already been realized in laboratories. This roadmap is a product of the collective work of many authors that covers versatile spin-wave computing approaches, conceptual building blocks, and underlying physical phenomena. In particular, the roadmap discusses the computation operations with Boolean digital data, unconventional approaches like neuromorphic computing, and the progress towards magnon-based quantum computing. The article is organized as a collection of sub-sections grouped into seven large thematic sections. Each sub-section is prepared by one or a group of authors and concludes with a brief description of current challenges and the outlook of further development for each research direction.
- Published
- 2022
11. Tuning of the Dzyaloshinskii-Moriya interaction by He+ ion irradiation
- Author
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Nembach, H. T., Jué, E., Potzger, K., (0000-0003-3893-9630) Faßbender, J., Silva, T. J., Shaw, J. M., Nembach, H. T., Jué, E., Potzger, K., (0000-0003-3893-9630) Faßbender, J., Silva, T. J., and Shaw, J. M.
- Abstract
We studied the impact of He+ irradiation on the Dzyaloshinskii-Moriya interaction (DMI) in Ta/Co20Fe60B20/Pt/MgO samples. We found that irradiation of 40 keV He+ ions increases the DMI by approximately 20% for fluences up to 2 × 1016 ions/cm2 before it decreases for higher fluence values. In contrast, the interfacial anisotropy shows a distinctly different fluence dependence. To better understand the impact of the ion irradiation on the Ta and Pt interfaces with the Co20Fe60B20 layer, we carried out Monte-Carlo simulations, which showed an expected increase in disorder at the interfaces. A moderate increase in disorder increases the total number of triplets for the three-site exchange mechanism and consequently increases the DMI. Our results demonstrate the significance of disorder for the total DMI.
- Published
- 2022
12. On Teaching Tacit Knowledge in Engineering Design and Professional Practice.
- Author
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JAMIESON, M. V., NAEF, M., and SHAW, J. M.
- Subjects
ENGINEERING design education ,ENGINEERING students ,CURRICULUM ,MENTORING in education ,CHEMICAL engineering - Abstract
The tacit knowledge associated with the application and integration of codified knowledge, personal experience, and the fundamental technical engineering knowledge is typically not developed in engineering students as a result of their coursework. Consequently, engineering students are not fully equipped for the demands of design even if their project requires largely codified knowledge. They require significant guidance and mentorship to describe design bases in their own words, to develop criteria for plausible solutions and then to research, identify, and synthesize plausible solutions. For experienced practitioners, this tacit knowledge is inherent to process, systems, and product design and is fully internalized. Filling or partially filling this knowledge gap comprises the invisible curriculum in undergraduate engineering design education. In this contribution, we describe how tacit engineering and engineering design knowledge is developed iii our process design courses. how we structure implicit learning experiences, attempt to improve learning outcomes, and better prepare our developing engineers for early practice. Practical design projects, instructors with diverse knowledge and experience. a flipped course design (permitting intensive face-to-face interaction, mentorship, and creating opportunities to tell engineering stories during classroom sessions), individual and team assessment, and modeled interactions are used to create meaningful engineering experiences that help students develop their knowledge and understanding of the tacit curriculum. We provide reflections on our experiences. We expect our contribution to be of value across all engineering disciplines, and for professional practice development more broadly. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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