Invited
Ultrafast neuromorphic dynamics using hidden phases in the prototype of relaxor ferroelectrics
2Unité Mixte de Physique, CNRS, Université Paris-Saclay, 91767 Palaiseau, Thales, France
3Department of Physics and Engineering Physics, Tulane University, 6400 Freret Street, 70118, New Orleans, Louisiana, USA
4Laboratoire Structures, Propriétés et Modélisation des Solides, CentraleSupelec, Université Paris-Saclay, CNRS-UMR8580, 91190, Gif-sur-Yvette, France
Materials possessing multiple states are promising to emulate synaptic and neuronic behaviors. Their operation frequency, typically in or below the GHz range, however, limits the speed of neuromorphic computing. Moreover, ultrafast THz electric field excitation has been employed to induce nonequilibrium states of matter, called hidden phases in oxides. One may thus wonder if there are systems for which THz pulses can generate neuronic and synaptic behavior, via the creation of hidden phases. Using atomistic simulations, we discovered [1] that the prototype of relaxor ferroelectrics, that is Pb(Mg,Nb)O3, can indeed emulate all the key neuronic and memristive synaptic features. Their occurrence originates from the activation of many hidden phases of polarization order, resulting from the response of nanoregions to THz pulses. Such phases further possess different dielectric constants, which is also promising for memcapacitor devices. If time allows, other types of materials also possessing key neuromorphic signatures will be discussed [2,3].
S.P. and L.B. are thankful for an Impact grant from the Arkansas Research Alliance (ARA) and ONR Grant No. N00014-21-1-2086. S.P. and L.B. acknowledge the Vannevar Bush Faculty Fellowship (VBFF) Grant No. N00014-20-1-2834 from the Department of Defense. Y.N. and L.B. are thankful for the ARO Grants No. W911NF-21-1-0113 and No. W911NF-21-2-0162 (ETHOS). J.G. acknowledges support from Q-MEEN-C, an Energy Frontier Research Center funded by the U.S. Department of Energy (DOE), Office of Science, Basic Energy Sciences (BES), under Award No. DE-SC0019273, for work on neuromorphic computing with PZT. B.D. thanks the European Union’s Horizon 2020 research and innovation program under grant agreement No 964931 (TSAR).
1. S. Prosandeev, J. Grollier, D. Talbayev, B. Dkhil, L. Bellaiche, Phys. Rev. Lett. 2021, 126, 027602.
2. Sergey Prosandeev, Sergei Prokhorenko, Yousra Nahas, Yali Yang, Changsong Xu , Julie Grollier, Diyar Talbayev , Brahim Dkhil, and L. Bellaiche, Phys. Rev. B Letter 105, L100101 (2022).
3. Sergey Prosandeev, Sergei Prokhorenko, Yousra Nahas, Julie Grollier, Diyar Talbayev, Brahim Dkhil, and Laurent Bellaiche, Adv. Electron. Mater. 2022, 2200808.
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