Our collaborative effort (between experiment and theory) at UIUC led to a fantastic discovery into the extraordinarily difficult field of disorder physics. It was featured on the front cover of nature physics (left figure) and picked up by a host of scientific magazines and blogs around the world (Primeur Magazine, Phys.org, ECN, Nanotechnology Now, EurekAlert, Science Daily, Science New, Scientific Computing, Sky Nightly, Space Daily)
(Right) Figure illustrates puddles of localized quasi-condensates found using a quantum Monte Carlo simulation of trapped atoms in a disordered lattice. Individual puddles, consisting of 10-20 particles each, are incoherent relative to each other. The Bose glass is composed of these puddle-like structures.
During my tenure at Princeton I worked in close collaboration with Dr. David Limmer (now at Berkeley) on the Large Deviation Principle. I presented our work at the 18th Annual U. C. Berkeley Statistical Mechanics Meeting, which was awarded the poster prize. The poster is shown below.
It was a fantastic conference and it was very exciting to engage with many of the pioneers in the field. We are looking forward to collaborative efforts into this rapidly developing important field.
Our first paper that details the techniques to calculate large deviation functions of non equilibrium steady states was selected as Editor's picks on The Journal of Chemical Physics. It was featured on the front page of the website on March 29, 2018.
We are looking forward to continuing this extensive overview of techniques, problems and solutions in the second part of the paper, TBA later this year!
Another Editor's picks on The Journal of Chemical Physics. It was featured on the front page of the website on March 12, 2020.
This paper details a new way to construct auxiliary dynamics for nonequilibrum stready states. Auxiliary dynamics is essential for Monte Carlo based techniques so that rare fluctuations can be accessed. Guiding distribution functions constructed using our technique can lead to up to two orders of magnitude increase in efficiency. It is also a robust method applicable to many types of systems.