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We find an unambiguous relationship between disorder-driven features in the temperature dependence of the resistance and the behavior, as functions of the temperature, of the parameters necessary to describe some of the relaxation processes…

Complex ferromagnetic oxides such as La$_{0.67}$Sr$_{0.33}$MnO$_3$ (LSMO) offer pathways for creating energy efficient spintronic devices with new functionalities. LSMO exhibits high-temperature ferromagnetism, half metallicity, sharp…

Large-scale integration of emerging nanoscale non-volatile memory devices, e.g. resistive random-access memory (RRAM), can enable a new generation of neuromorphic computers that can solve a wide range of machine learning problems. Such…

Emerging Technologies · Computer Science 2016-12-20 Xinyu Wu , Vishal Saxena

Inelastic electron tunneling and surface-enhanced optical spectroscopies at the molecular scale require cryogenic local temperatures even under illumination - conditions that are challenging to achieve with plasmonically resonant metallic…

Mesoscale and Nanoscale Physics · Physics 2017-04-05 Pavlo Zolotavin , Alessandro Alabastri , Peter Nordlander , Douglas Natelson

The operation of a novel nonvolatile memory device based on a conductive ferroelectric/non-ferroelectric thin film multilayer stack is simulated numerically. The simulation involves the self-consistent steady state solution of Poisson's…

Materials Science · Physics 2007-05-23 Rene Meyer , Hermann Kohlstedt

Recently we have proposed a new concept of a thermal neutron detector based on resistive plate chambers and 10B4C solid neutron converters, enabling to readout with high resolution in both the 3D position of neutron capture and the neutron…

Memristive devices are promising elements for energy-efficient neuromorphic computing and future artificial intelligence systems. For diffusive memristors, the device state switching occurs because of the sequential formation and…

Materials Science · Physics 2022-02-14 D. P Pattnaik , Y. Ushakov , Z. Zhou , P. Borisov , M. D Cropper , U. W. Wijayantha , A. G. Balanov , S. E Savel'ev

As process technology continues to scale aggressively, circuit aging in a neuromorphic hardware due to negative bias temperature instability (NBTI) and time-dependent dielectric breakdown (TDDB) is becoming a critical reliability issue and…

Neural and Evolutionary Computing · Computer Science 2020-06-11 Shihao Song , Anup Das , Nagarajan Kandasamy

Photonic Random-Access Memories (P-RAM) are an essential component for the on-chip non-von Neumann photonic computing by eliminating optoelectronic conversion losses in data links. Emerging Phase Change Materials (PCMs) have been showed…

Transition metal oxides (TMOs) are complex electronic systems which exhibit a multitude of collective phenomena. Two archetypal examples are VO2 and NdNiO3, which undergo a metal-insulator phase-transition (MIT), the origin of which is…

Poisson statistics predicts that the shot noise in a tunnel junction has a temperature independent third cumulant e^2\I, determined solely by the mean current I. Experimental data, however, show a puzzling temperature dependence. We…

Mesoscale and Nanoscale Physics · Physics 2007-05-23 C. W. J. Beenakker , M. Kindermann , Yu. V. Nazarov

Understanding and controlling the flow of heat is a major challenge in nanoelectronics. When a junction is driven out of equilibrium by light or the flow of electric charge, the vibrational and electronic degrees of freedom are, in general,…

Mesoscale and Nanoscale Physics · Physics 2011-06-29 Daniel R. Ward , David A. Corley , James M. Tour , Douglas Natelson

The temperature dependence of the magnetic resonance spectra of nitrogen-vacancy (NV-) ensembles in the range of 280-330 K was studied. Four samples prepared under different conditions were studied with NV- concentrations ranging from 10…

Mesoscale and Nanoscale Physics · Physics 2010-10-12 V. M. Acosta , E. Bauch , M. P. Ledbetter , A. Waxman , L. S. Bouchard , D. Budker

The present von Neumann computing paradigm involves a significant amount of information transfer between a central processing unit (CPU) and memory, with concomitant limitations in the actual execution speed. However, it has been recently…

Emerging Technologies · Computer Science 2014-07-03 Fabio Lorenzo Traversa , Fabrizio Bonani , Yuriy V. Pershin , Massimiliano Di Ventra

Thermal effects are well known to influence the electronic and optical properties of materials through several physical mechanisms and are the basis for various optoelectronic devices. The thermo-optic (TO) effect - the refractive index…

Optics · Physics 2023-01-31 Shany Zrihan Cohen , Danveer Singh , Sukanta Nandi , Tomer Lewi

Earlier, the DC hole-current modeling of PCMO RRAM by drift-diffusion (DD) including self-heating (SH) in TCAD (but without ionic transport) was able to explain the experimentally observed SCLC characteristics, prior to resistive switching.…

Materials Science · Physics 2017-08-08 A. Khanna , S. Prasad , N. Panwar , U. Ganguly

Recent proposals towards non-local thermoelectric voltage-based thermometry, in the conventional dual quantum dot set-up, demand an asymmetric step-like system-to-reservoir coupling around the ground states for optimal operation (Physica E,…

Mesoscale and Nanoscale Physics · Physics 2022-01-03 Aniket Singha

Crossbar array architecture is an essential design element for densely connected Non-Volatile Memory(NVM) applications. To overcome intrinsic sneak current problem of crossbar arrays, each memory unit is serially attached to a selector unit…

Applied Physics · Physics 2021-02-16 Yiğit Demirağ , Ekmel Özbay , Yusuf Leblebici

We investigate the resistive switching behaviour of $\mathrm{VO_2}$ microbridges under current bias as a function of temperature and thermal coupling with the heat bath. Upon increasing the electrical current bias, the formation of the…

Strongly Correlated Electrons · Physics 2017-02-06 Nicola Manca , Teruo Kanki , Hidekazu Tanaka , Daniele Marré , Luca Pellegrino

Current-controlled (also known as "S-type") negative differential resistance (NDR) is of crucial importance to many emerging applications including neuromorphic computing and high-density memristors integration. However, the experimental…

Mesoscale and Nanoscale Physics · Physics 2019-01-23 Miao Wang , Chengyu Wang , Chenchen Wu , Qiao Li , Chen Pan , Cong Wang , Shi-Jun Liang , Feng Miao
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