## Daniel LadigesResearch Scientist, Applied Mathematics and Computational Research Division
## Current Affiliation and Research InterestsI am a research scientist at the Center for Computational Sciences and Engineering (CCSE) in the Applied Mathematics Department in the Computing Sciences Area at the Lawrence Berkeley National Laboratory. As part of my work in the Multiscale Modeling and Stochastic Systems (MuMSS) group, I am currently studying the use of compressible fluctuating hydrodynamic schemes for the modeling of gas flows through effusive membranes. We are also developing codes for the simulation of particle laden, fluctuating, incompressible flows. This will provide a platform for the study of fluids with novel rheological properties. ## PreviouslyIn late 2016 I completed my PhD in applied mathematics at the University of Melbourne. I then spent the following year as a Postdoctoral Research Fellow in the ARC Centre for Excellence in Exciton Science, also based at the University of Melbourne. In these roles I developed methods for solving the Boltzmann equation in the context of nanoscale transport problems.
## PublicationsModeling Electrokinetic Flows with the Discrete Ion Stochastic Continuum Overdamped Solvent Algorithm,
Submitted for publication, 2022.
[arxiv]
Robin J Dolleman, Debadi Chakraborty, Daniel R Ladiges, Herre SJ van der Zant, John E Sader, and Peter G Steeneken,
D. R. Ladiges, S. P. Carney, A. Nonaka, K. Kymko, G. C. Moore, A. L. Garcia, S. R. Natesh, A. Donev and J. B. Bell,
Nicholas Z. Liu, Daniel R. Ladiges, Jason Nassios, and John E. Sader,
Yong Shi, Daniel. R. Ladiges, and John E. Sader,
Daniel. R. Ladiges, Andrew. J. Nonaka, John. B. Bell, and Alejandro. L. Garcia,
Daniel R. Ladiges and John E. Sader,
Daniel R. Ladiges and John E. Sader,
Daniel R. Ladiges and John E. Sader, |