Resistive random-access memory (RRAM) devices have attracted broad interest as promising building blocks for high-density nonvolatile memory and neuromorphic computing applications. Atomic level thermodynamic and kinetic descriptions of resistive switching (RS) processes are essential for continued device design and optimization but are relatively lacking for oxide-based RRAMs. It is generally accepted that RS occurs due to the redistribution of charged oxygen vacancies driven by an external electric field. However, this assumption contradicts the experimentally observed stable filaments, where the high vacancy concentration should lead to a strong Coulomb repulsion and filament instability. In this work, through predictive atomistic calculations in combination with experimental measurements, we attempt to understand the interactions between oxygen vacancies and the microscopic processes that are required for stable RS in a Ta2O5-based RRAM. We propose a model based on a series of charge transition processes that explains the drift and aggregation of vacancies during RS. The model was validated by experimental measurements where illuminated devices exhibit accelerated RS behaviors during SET and RESET. The activation energies of ion migration and charge transition were further experimentally determined through a transient current measurement, consistent with the modeling results. Our results help provide comprehensive understanding on the internal dynamics of RS and will benefit device optimization and applications.

In articular cartilage, chondrocytes reside within a gel-like pericellular matrix (PCM). This matrix provides a mechanical link through which joint loads are transmitted to chondrocytes. The stiffness of the PCM decreases in the most common degenerative joint disease, osteoarthritis. To develop a system for modeling the stiffness of both the healthy and osteoarthritic PCM, we determined the concentration-stiffness relationships for agarose. We extended these results to encapsulate chondrocytes in agarose of physiological stiffness. Finally, we assessed the relevance of stiffness for chondrocyte mechanotransduction by examining the biological response to mechanical loading for cells encapsulated in low- and high-stiffness gels. We achieved agarose equilibrium stiffness values as large as 51.3 kPa. At 4.0% agarose, we found equilibrium moduli of 34.3 ± 1.65 kPa, and at 4.5% agarose, we found equilibrium moduli of 35.7 ± 0.95 kPa. Cyclical tests found complex moduli of ~100-300 kPa. Viability was >96% for all studies. We observed distinct metabolomic responses in >500 functional small molecules describing changes in cell physiology, between primary human chondrocytes encapsulated in 2.0 and 4.5% agarose indicating that the gel stiffness affects cellular mechanotransduction. These data demonstrate both the feasibility of modeling the chondrocyte pericellular matrix stiffness and the importance of the physiological pericellular stiffness for understanding chondrocyte mechanotransduction.

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