Publications

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Comprehensive assessment of oxide memristors as post-CMOS memory and logic devices

ECS Transactions

Gao, Xujiao G.; Mamaluy, Denis M.; Cyr, E.C.; Marinella, M.J.

As CMOS technology approaches the end of its scaling, oxide-based memristors have become one of the leading candidates for post-CMOS memory and logic devices. To facilitate the understanding of physical switching mechanisms and accelerate experimental development of memristors, we have developed a three-dimensional fully-coupled electrical and thermal transport model, which captures all the important processes that drive memristive switching and is applicable for simulating a wide range of memristors. The model is applied to simulate the RESET and SET switching in a 3D filamentary TaOx memristor. Extensive simulations show that the switching dynamics of the bipolar device is determined by thermally-activated field-dominant processes: with Joule heating, the raised temperature enables the movement of oxygen vacancies, and the field drift dominates the overall motion of vacancies. Simulated current-voltage hysteresis and device resistance profiles as a function of time and voltage during RESET and SET switching show good agreement with experimental measurement.

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Development characterization and modeling of a TaOx ReRAM for a neuromorphic accelerator

Marinella, Matthew J.; Mickel, Patrick R.; Lohn, Andrew L.; Hughart, David R.; Bondi, Robert J.; Mamaluy, Denis M.; Hjalmarson, Harold P.; Stevens, James E.; Decker, Seth D.; Apodaca, Roger A.; Evans, Brian R.; Aimone, James B.; Rothganger, Fredrick R.; James, Conrad D.; DeBenedictis, Erik

This report discusses aspects of neuromorphic computing and how it is used to model microsystems.

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FAIR DEAL Grand Challenge Overview

Allemang, Christopher R.; Anderson, Evan M.; Baczewski, Andrew D.; Bussmann, Ezra B.; Butera, Robert E.; Campbell, DeAnna M.; Campbell, Quinn C.; Carr, Stephen M.; Frederick, Esther F.; Gamache, Phillip G.; Gao, Xujiao G.; Grine, Albert D.; Gunter, Mathew M.; Halsey, Connor H.; Ivie, Jeffrey A.; Katzenmeyer, Aaron M.; Leenheer, Andrew J.; Lepkowski, William L.; Lu, Tzu-Ming L.; Mamaluy, Denis M.; Mendez Granado, Juan P.; Pena, Luis F.; Schmucker, Scott W.; Scrymgeour, David S.; Tracy, Lisa A.; Wang, George T.; Ward, Dan W.; Young, Steve M.

While it is likely practically a bad idea to shrink a transistor to the size of an atom, there is no arguing that it would be fantastic to have atomic-scale control over every aspect of a transistor – a kind of crystal ball to understand and evaluate new ideas. This project showed that it was possible to take a niche technique used to place dopants in silicon with atomic precision and apply it broadly to study opportunities and limitations in microelectronics. In addition, it laid the foundation to attaining atomic-scale control in semiconductor manufacturing more broadly.

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Fully-Coupled Thermo-Electrical Modeling and Simulation of Transition Metal Oxide Memristors

Mamaluy, Denis M.; Gao, Xujiao G.; Tierney, Brian D.

Transition metal oxide (TMO) memristors have recently attracted special attention from the semiconductor industry and academia. Memristors are one of the strongest candidates to replace flash memory, and possibly DRAM and SRAM in the near future. Moreover, memristors have a high potential to enable beyond-CMOS technology advances in novel architectures for high performance computing (HPC). The utility of memristors has been demonstrated in reprogrammable logic (cross-bar switches), brain-inspired computing and in non-CMOS complementary logic. Indeed, the potential use of memristors as logic devices is especially important considering the inevitable end of CMOS technology scaling that is anticipated by 2025. In order to aid the on-going Sandia memristor fabrication effort with a memristor design tool and establish a clear physical picture of resistance switching in TMO memristors, we have created and validated with experimental data a simulation tool we name the Memristor Charge Transport (MCT) Simulator.

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Modeling assisted room temperature operation of atomic precision advanced manufacturing devices

International Conference on Simulation of Semiconductor Processes and Devices, SISPAD

Gao, Xujiao G.; Tracy, Lisa A.; Anderson, Evan M.; Campbell, DeAnna M.; Ivie, Jeffrey A.; Lu, Tzu-Ming L.; Mamaluy, Denis M.; Schmucker, Scott W.; Misra, Shashank M.

One big challenge of the emerging atomic precision advanced manufacturing (APAM) technology for microelectronics application is to realize APAM devices that operate at room temperature (RT). We demonstrate that semiclassical technology computer aided design (TCAD) device simulation tool can be employed to understand current leakage and improve APAM device design for RT operation. To establish the applicability of semiclassical simulation, we first show that a semiclassical impurity scattering model with the Fermi-Dirac statistics can explain the very low mobility in APAM devices quite well; we also show semiclassical TCAD reproduces measured sheet resistances when proper mobility values are used. We then apply semiclassical TCAD to simulate current leakage in realistic APAM wires. With insights from modeling, we were able to improve device design, fabricate Hall bars, and demonstrate RT operation for the very first time.

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Power signatures of electric field and thermal switching regimes in memristive SET transitions

Journal of Physics. D, Applied Physics

Hughart, David R.; Gao, Xujiao G.; Mamaluy, Denis M.; Marinella, Matthew J.; Mickel, Patrick R.

We present a study of the 'snap-back' regime of resistive switching hysteresis in bipolar TaOx memristors, identifying power signatures in the electronic transport. Using a simple model based on the thermal and electric field acceleration of ionic mobilities, we provide evidence that the 'snap-back' transition represents a crossover from a coupled thermal and electric-field regime to a primarily thermal regime, and is dictated by the reconnection of a ruptured conducting filament. We discuss how these power signatures can be used to limit filament radius growth, which is important for operational properties such as power, speed, and retention.

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Results 1–25 of 37
Results 1–25 of 37