Francesco Caravelli
Updated: October 2020
I am a theoretical physicist, interested in quantum and classical systems. I tend to "hover" in the complex systems community, focusing on methods of statistical physics to nanoscale devices and complex systems.
I am a staff member of the T4 group LANL (Condensed matter and Complex systems), but held until recently the JRO fellowship position at Los Alamos National Laboratory (CNLS). Before, between 2014-2017 I was a scientist at Invenia Labs. Between January and May 2019 I taught a course on statistical mechanics at UMass Boston. You can find here my detailed research interests.
I am part of the Advanced Network Science Initiative (ANSI), and still collaborate with Invenia Labs (Cambridge UK). I have been a postdoc at the London Institute for Mathematical Sciences, University College London and OCIAM Oxford.
Teaching
Winter school on spectral methods 2019, Lectures available here
My notes on Statistical Mechanics, still in progress (a quite expanded version of the UMass course)
Announcements
Special Issue "Integrated Neuromorphic Computation, Neuromorphic Circuits and Artificial Associative Memories" for MDPI Brain Sciences
Find a list of publications HERE (updated Oct 2019)
My Google Scholar profile is here, arXiv is here and on inspirehep here.
Here instead is my CV.
I am Associate Editor for Frontiers in Interdisciplinary Physics and IEEE Transactions on NanoBioEngineering . Here is my review history on Publons.
Lately, I’ve been working on memristive circuits and neuromorphic computing. See here (with Zegarac, Eur. Phys. Lett. Perspectives) for a non-technical review of the topic, and here a review for non-practitioners with a focus on computation (with Carbajal, Technologies).
Tools:
Here you can find a description of Evolving Networks, the software we use for the simulation of graphs with memory.
Here you can find the link to the AMICI tool page.
A Matlab function for evaluating the transfer entropy of binary time series, and one for evaluating the path complexity of a graph
The page of the Nonlinear Time Series Analysis Toolbox to make predictions for chaotic time series. It is a collection of codes into a single GUI in Matlab. It uses State Space Reconstruction.
Here you can find the code for the memristive optimizer for QUBOs and here the script to use it. Here is a blog post about it, and the Julia implementation
Other profiles:
A couple of fun facts about me.
A couple of hobbies.
Eddington would say that there are 15 747 724 136 275 002 577 605 653 961 181 555 468 044 717 914 527 116 709 366 231 425 076 185 631 031 296 viewers in this moment.
Please note the subtle (?) difference between "Francisco", "Franciso" or "Franchesko" and "Francesco".
The difference is me unhappy vs. me happy.
Me Happy = Good Bob
Me Unhappy = Bad Bob
You can call me Frank if you cannot tell them apart.