Los Alamos Memristors

In the past years, the number of people working on memristors grew considerably and we expanded the topics we work on. In particular, our work on memristors fits inside the

Advanced Network Science Initiative in Los Alamos (https://lanl-ansi.github.io/).

Current members of the theoretical research on memristors are in alphabetical order:

• • Francesco Caravelli (T-Division, Staff)

  • Carleton Coffrin (A division, Staff)

  • Magdalene Dale (ISR division, Staff)

  • Michael Isaf (ISR Division, Summer 2020, Postbac)

  • Andrey Lokhov (T-Division & CNLS, Staff)

  • Jon Nelson (A Division, Summer 2020, Postbac)

  • Forrest Sheldon (T-Division, Staff)

  • Marc Vuffray (T-Division, Staff)

  • Ana Zegarac (Summer 2017, Postbac joint with LIMS)

Current Research involves:

• • Memristor Dynamics and Graph Theory

  • Optimization

  • Statistical Physics, Inference and Glass transition

  • Experimental Work on KnowM Memristors

  • Memristors for machine learning