000144692 001__ 144692
000144692 005__ 20260217205519.0
000144692 0247_ $$2doi$$a10.1103/PhysRevMaterials.8.075003
000144692 0248_ $$2sideral$$a139592
000144692 037__ $$aART-2024-139592
000144692 041__ $$aeng
000144692 100__ $$aRomán Acevedo, Wilson
000144692 245__ $$aMulti-mem behavior at reduced voltages in La1/2¿Sr1/2¿Mn1/2¿Co1/2¿O3-¿ perovskite modified with Sm:Ce¿O2
000144692 260__ $$c2024
000144692 5203_ $$aThe use of machine learning algorithms is exponentially growing and concerns are being raised about their sustainability. Neuromorphic computing aims to mimic the architecture and the information processing mechanisms of the mammalian brain, appearing as the only avenue that offers significant energy savings compared to the standard digital computers. Memcapacitive devices, which can change their capacitance between different nonvolatile states upon the application of electrical stimulation, can significantly reduce the energy consumption of bio-inspired circuitry. In the present work, we study the multi-mem (memristive and memcapacitive) behavior of devices based on thin films of the topotactic redox L⁢a1/2⁢S⁢r1/2⁢M⁢n1/2⁢C⁢o1/2⁢O3− (LSMCO) perovskite modified with Sm:Ce⁢O2 (SCO), grown on Nb:SrTiO3 with (001) and (110) out-of-plane orientations. Either the self-assembling at the nanoscale of both LSMCO and SCO phases or the doping with Ce(Sm) of the LSMCO perovskite were observed for different fabrication conditions and out-of-plane orientations. The impact of these changes on the device electrical behavior was determined. The optimum devices resulted those with (110) orientation and Ce(Sm) doping the perovskite. These devices displayed a multi-mem behavior with robust memcapacitance and significantly lower operation voltages (especially the reset voltage) in comparison with devices based on pristine LSMCO. In addition, they were able to endure electrical cycling—and the concomitant perovskite topotactic redox transition between oxidized and reduced phases—without suffering nanostructural changes nor cationic segregation. We link these properties to an enhanced perovskite reducibility upon Ce(Sm) doping. Our work contributes to increasing the reliability of LSMCO-based multi-mem systems and to reducing their operating voltages closer to the 1 V threshold, which are key issues for the development of nanodevices for neuromorphic or in-memory computing.
000144692 536__ $$9info:eu-repo/grantAgreement/EC/H2020/872631 /EU/Memristive and multiferroic materials for emergent logic units in nanoelectronics/MELON$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 872631 -MELON
000144692 540__ $$9info:eu-repo/semantics/closedAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000144692 590__ $$a3.4$$b2024
000144692 592__ $$a0.945$$b2024
000144692 591__ $$aMATERIALS SCIENCE, MULTIDISCIPLINARY$$b224 / 461 = 0.486$$c2024$$dQ2$$eT2
000144692 593__ $$aPhysics and Astronomy (miscellaneous)$$c2024$$dQ1
000144692 593__ $$aMaterials Science (miscellaneous)$$c2024$$dQ1
000144692 594__ $$a5.9$$b2024
000144692 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000144692 700__ $$0(orcid)0000-0002-1296-4793$$aAguirre, Myriam H.$$uUniversidad de Zaragoza
000144692 700__ $$aNoheda, Beatriz
000144692 700__ $$aRubi, Diego
000144692 7102_ $$12003$$2395$$aUniversidad de Zaragoza$$bDpto. Física Materia Condensa.$$cÁrea Física Materia Condensada
000144692 773__ $$g8, 7 (2024), 075003 [10 pp.]$$pPhys. rev. mater.$$tPHYSICAL REVIEW MATERIALS$$x2475-9953
000144692 8564_ $$s1556324$$uhttps://zaguan.unizar.es/record/144692/files/texto_completo.pdf$$yVersión publicada
000144692 8564_ $$s920839$$uhttps://zaguan.unizar.es/record/144692/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000144692 909CO $$ooai:zaguan.unizar.es:144692$$particulos$$pdriver
000144692 951__ $$a2026-02-17-20:27:53
000144692 980__ $$aARTICLE