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Daniel Ladiges

Research Scientist, Applied Mathematics and Computational Research Division


Contact Information

Daniel Ladiges
MS 50A-3111
Lawrence Berkeley National Lab
1 Cyclotron Rd.
Berkeley, CA 94720

510-486-6900 (fax)

[email protected]


Current Affiliation and Research Interests

I 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.


Previously

In 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.


Publications

I. Srivastava, D. R. Ladiges, A. Nonaka, A. L. Garcia, J. B. Bell, A Staggered Scheme for the Compressible Fluctuating Hydrodynamics of Multispecies Fluid Mixtures, accepted for publication in Physical Review E, 2022. [arxiv]

D. R. Ladiges, J. G. Wang, I. Srivastava, S. P. Carney, A. Nonaka, A. L. Garcia, A. Donev and J. B. Bell, Modeling Electrokinetic Flows with the Discrete Ion Stochastic Continuum Overdamped Solvent Algorithm, Physical Review E, 106, 035104, 2022. [doi]

Robin J Dolleman, Debadi Chakraborty, Daniel R Ladiges, Herre SJ van der Zant, John E Sader, and Peter G Steeneken, Squeeze-film effect on atomically thin resonators in the high-pressure limit, Nano Letters, 2021. [doi]

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, Discrete Ion Stochastic Continuum Overdamped Solvent Algorithm for Modeling Electrolytes, Physical Review Fluids, 6(4), 044309, 2021. [arxiv]

Nicholas Z. Liu, Daniel R. Ladiges, Jason Nassios, and John E. Sader, Acoustic flows in a slightly rarefied gas, Physical Review Fluids, 5(4), 043401, 2019. [doi]

Yong Shi, Daniel. R. Ladiges, and John E. Sader, Origin of spurious oscillations in lattice Boltzmann simulations of oscillatory noncontinuum gas flows, Physical Review E, 100(5), 053317, 2019.

Daniel. R. Ladiges, Andrew. J. Nonaka, John. B. Bell, and Alejandro. L. Garcia, On the Suppression and Distortion of Non-Equilibrium Fluctuations by Transpiration, Physics of Fluids, 149, 052002, 2019.

Daniel R. Ladiges and John E. Sader, Variational method enabling simplified solutions to the linearized Boltzmann equation for oscillatory gas flows, Physical Review Fluids, 3, 053401, 2018.

Daniel R. Ladiges and John E. Sader, Frequency-domain deviational Monte Carlo method for linear oscillatory gas flows, Physics of Fluids, 27, 102002, 2015.

Daniel R. Ladiges and John E. Sader, Frequency-domain Monte Carlo method for linear oscillatory gas flows, Journal of Computational Physics, 284, 351-366, 2015.