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35. J. Zázvorka, F. Jakobs, D. Heinze, N. Keil, S. Kromin, S. Jaiswal, K. Litzius, G. Jakob, P.
Virnau, D. Pinna, K. Everschor-Sitte, A. Donges, U. Nowak, M. Kläui Thermal skyrmion
diffusion applied in probabilistic computing. arXiv e-prints (2018)
36. S. Li, W. Kang, Y. Huang, X. Zhang, Y. Zhou, W. Zhao, Nanotechnology 28, 31LT01 (2017)
37. Z. He, D. Fan Developing All-Skyrmion Spiking Neural Network. arXiv e-prints (2017)
38. X. Fong, Y. Kim, S.H. Choday, K. Roy, IEEE Trans. Very Large Scale Integration (VLSI) Syst.
22, 384 (2014)
39. H. Naeimi, C. Augustine, A. Raychowdhury, L. Shih-Lien, J. Tschanz, Intel Technol. J. 17, 54
(2013)
40. S. Fukami, T. Anekawa, C. Zhang, H. Ohno, Nat. Nanotechnol. 11, 621 (2016)
41. L. Liu, C.-F. Pai, Y. Li, H.W. Tseng, D.C. Ralph, R.A. Buhrman, Science 336, 555 (2012)
42. J.E. Hirsch, Phys. Rev. Lett. 1999, 83 (1834)
43. B. Widrow, Y. Kim, D. Park, and J.K. Perin, Chapter 1 - Nature’s Learning Rule: The HebbianLMS Algorithm, in Artificial Intelligence in the Age of Neural Networks and Brain Computing,
ed. by R. Kozma, C. Alippi, Y. Choe, F.C. Morabito (Academic Press, 2019), p. 1
44. E.M. Izhikevich, IEEE Trans. Neural Networks 15, 1063 (2004)
45. D. Zhang, L. Zeng, Y. Zhang, W. Zhao, J.O. Klein, in 2016 IEEE/ACM International Symposium
on Nanoscale Architectures (NANOARCH) (2016)
46. D. Bhowmik, U. Saxena, A. Dankar, A. Verma, D. Kaushik, S. Chatterjee, U. Singh, J. Magn.
Magn. Mater. 489, 165434 (2019)
47. S. Lequeux, J. Sampaio, V. Cros, K. Yakushiji, A. Fukushima, R. Matsumoto, H. Kubota, S.
Yuasa, J. Grollier, Sci. Rep. 6, 31510 (2016)
48. W.A. Borders, H. Akima, S. Fukami, S. Moriya, S. Kurihara, Y. Horio, S. Sato, H. Ohno, Appl.
Phys. Express 10, 013007 (2016)
49. A. Kurenkov, C. Zhang, S. DuttaGupta, S. Fukami, H. Ohno, Appl. Phys. Lett. 110, 092410
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50. A. Chanthbouala, R. Matsumoto, J. Grollier, V. Cros, A. Anane, A. Fert, A.V. Khvalkovskiy,
K.A. Zvezdin, K. Nishimura, Y. Nagamine, H. Maehara, K. Tsunekawa, A. Fukushima, S.
Yuasa, Nat. Phys. 7, 626 (2011)
51. D. Fan, Y. Shim, A. Raghunathan, K. Roy, IEEE Trans. Nanotechnol. 14, 1013 (2015)
52. A. Sengupta, Y. Shim, K. Roy, IEEE Trans. Biomed. Circuits Syst. 10, 1152 (2016)
53. W.H. Brigner, N. Hassan, L. Jiang-Wei, X. Hu, D. Saha, C.H. Bennett, M.J. Marinella, J.A.C.
Incorvia, F. Garcia-Sanchez, J.S. Friedman, IEEE Trans. Electron Devices 66, 4970 (2019)
54. W.H. Brigner, X. Hu, N. Hassan, C.H. Bennett, J.A.C. Incorvia, F. Garcia-Sanchez, J.S.
Friedman, IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, 2019
1
55. X. Chen, W. Kang, D. Zhu, X. Zhang, N. Lei, Y. Zhang, Y. Zhou, W. Zhao, Nanoscale 10, 6139
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56. C.M. Liyanagedera, A. Sengupta, A. Jaiswal, K. Roy, Phys. Rev. Appl. 8, 064017 (2017)
57. J. Cai, B. Fang, L. Zhang, W. Lv, B. Zhang, T. Zhou, G. Finocchio, Z. Zeng, Phys. Rev. Appl.
11, 034015 (2019)
315
34. D. Pinna, F. Abreu Araujo, J.V. Kim, V. Cros, D. Querlioz, P. Bessiere, J. Droulez, J. Grollier,
Phys. Rev. Appl. 9, 064018 (2018)
35. J. Zázvorka, F. Jakobs, D. Heinze, N. Keil, S. Kromin, S. Jaiswal, K. Litzius, G. Jakob, P.
Virnau, D. Pinna, K. Everschor-Sitte, A. Donges, U. Nowak, M. Kläui Thermal skyrmion
diffusion applied in probabilistic computing. arXiv e-prints (2018)
36. S. Li, W. Kang, Y. Huang, X. Zhang, Y. Zhou, W. Zhao, Nanotechnology 28, 31LT01 (2017)
37. Z. He, D. Fan Developing All-Skyrmion Spiking Neural Network. arXiv e-prints (2017)
38. X. Fong, Y. Kim, S.H. Choday, K. Roy, IEEE Trans. Very Large Scale Integration (VLSI) Syst.
22, 384 (2014)
39. H. Naeimi, C. Augustine, A. Raychowdhury, L. Shih-Lien, J. Tschanz, Intel Technol. J. 17, 54
(2013)
40. S. Fukami, T. Anekawa, C. Zhang, H. Ohno, Nat. Nanotechnol. 11, 621 (2016)
41. L. Liu, C.-F. Pai, Y. Li, H.W. Tseng, D.C. Ralph, R.A. Buhrman, Science 336, 555 (2012)
42. J.E. Hirsch, Phys. Rev. Lett. 1999, 83 (1834)
43. B. Widrow, Y. Kim, D. Park, and J.K. Perin, Chapter 1 - Nature’s Learning Rule: The HebbianLMS Algorithm, in Artificial Intelligence in the Age of Neural Networks and Brain Computing,
ed. by R. Kozma, C. Alippi, Y. Choe, F.C. Morabito (Academic Press, 2019), p. 1
44. E.M. Izhikevich, IEEE Trans. Neural Networks 15, 1063 (2004)
45. D. Zhang, L. Zeng, Y. Zhang, W. Zhao, J.O. Klein, in 2016 IEEE/ACM International Symposium
on Nanoscale Architectures (NANOARCH) (2016)
46. D. Bhowmik, U. Saxena, A. Dankar, A. Verma, D. Kaushik, S. Chatterjee, U. Singh, J. Magn.
Magn. Mater. 489, 165434 (2019)
47. S. Lequeux, J. Sampaio, V. Cros, K. Yakushiji, A. Fukushima, R. Matsumoto, H. Kubota, S.
Yuasa, J. Grollier, Sci. Rep. 6, 31510 (2016)
48. W.A. Borders, H. Akima, S. Fukami, S. Moriya, S. Kurihara, Y. Horio, S. Sato, H. Ohno, Appl.
Phys. Express 10, 013007 (2016)
49. A. Kurenkov, C. Zhang, S. DuttaGupta, S. Fukami, H. Ohno, Appl. Phys. Lett. 110, 092410
(2017)
50. A. Chanthbouala, R. Matsumoto, J. Grollier, V. Cros, A. Anane, A. Fert, A.V. Khvalkovskiy,
K.A. Zvezdin, K. Nishimura, Y. Nagamine, H. Maehara, K. Tsunekawa, A. Fukushima, S.
Yuasa, Nat. Phys. 7, 626 (2011)
51. D. Fan, Y. Shim, A. Raghunathan, K. Roy, IEEE Trans. Nanotechnol. 14, 1013 (2015)
52. A. Sengupta, Y. Shim, K. Roy, IEEE Trans. Biomed. Circuits Syst. 10, 1152 (2016)
53. W.H. Brigner, N. Hassan, L. Jiang-Wei, X. Hu, D. Saha, C.H. Bennett, M.J. Marinella, J.A.C.
Incorvia, F. Garcia-Sanchez, J.S. Friedman, IEEE Trans. Electron Devices 66, 4970 (2019)
54. W.H. Brigner, X. Hu, N. Hassan, C.H. Bennett, J.A.C. Incorvia, F. Garcia-Sanchez, J.S.
Friedman, IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, 2019
1
55. X. Chen, W. Kang, D. Zhu, X. Zhang, N. Lei, Y. Zhang, Y. Zhou, W. Zhao, Nanoscale 10, 6139
(2018)
56. C.M. Liyanagedera, A. Sengupta, A. Jaiswal, K. Roy, Phys. Rev. Appl. 8, 064017 (2017)
57. J. Cai, B. Fang, L. Zhang, W. Lv, B. Zhang, T. Zhou, G. Finocchio, Z. Zeng, Phys. Rev. Appl.
11, 034015 (2019)