Zobrazeno 1 - 10
of 14
pro vyhledávání: '"R. Ladiges"'
Autor:
M. Rijsdijk, W. H. M. van Hinsbergh, W. Witteveen, G. H. M. ten Buuren, G. A. Schakelaar, G. Poppinga, M. van Persie, R. Ladiges
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XL-1-W2, Pp 325-331 (2013)
Quite often in the verification of cadastral borders, owners of the parcels involved are not able to make their attendance at the appointed moment in time. New appointments have to be made in order to complete the verification process, and as a resu
Externí odkaz:
https://doaj.org/article/fc1dccc7cd014ec0b58d62e77883d807
Autor:
D. R. Ladiges, J. G. Wang, I. Srivastava, A. Nonaka, J. B. Bell, S. P. Carney, A. L. Garcia, A. Donev
Publikováno v:
Physical review. E, vol 106, iss 3-2
In this article we develop an algorithm for the efficient simulation of electrolytes in the presence of physical boundaries. In previous work the Discrete Ion Stochastic Continuum Overdamped Solvent (DISCOS) algorithm was derived for triply periodic
We present a numerical formulation for the solution of non-isothermal, compressible, Navier-Stokes equations with thermal fluctuations to describe mesoscale transport phenomena in multispecies fluid mixtures. The novelty of our numerical method is th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1eb7207493043f773c7a3475337db4e1
Autor:
John B. Bell, Alejandro L. Garcia, Sean Carney, Andrew Nonaka, Daniel R. Ladiges, G. C. Moore, Katherine Klymko, Aleksandar Donev, S. R. Natesh
Publikováno v:
Physical Review Fluids, vol 6, iss 4
In this paper we develop a methodology for the mesoscale simulation of strong electrolytes. The methodology is an extension of the Fluctuating Immersed Boundary (FIB) approach that treats a solute as discrete Lagrangian particles that interact with E
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6796afbfb605f8e59941f3253ad78810
https://escholarship.org/uc/item/0xr9f78c
https://escholarship.org/uc/item/0xr9f78c
Autor:
Daniel R. Ladiges, Herre S. J. van der Zant, Robin J. Dolleman, John E. Sader, Debadi Chakraborty, Peter G. Steeneken
Publikováno v:
Nano letters 21(18), 7617-7624 (2021). doi:10.1021/acs.nanolett.1c02237
Nano Letters: a journal dedicated to nanoscience and nanotechnology, 21(18)
Nano Letters
Nano Letters: a journal dedicated to nanoscience and nanotechnology, 21(18)
Nano Letters
Nano letters 21(18), 7617-7624 (2021). doi:10.1021/acs.nanolett.1c02237
Published by ACS Publ., Washington, DC
Published by ACS Publ., Washington, DC
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb5668e73246d566aed6453682ba3175
https://publications.rwth-aachen.de/record/835507
https://publications.rwth-aachen.de/record/835507
Publikováno v:
Physical Review Fluids. 5
The Boltzmann equation provides a rigorous description of gas flows at all degrees of gas rarefaction. Asymptotic analyses of this equation yield valuable insight into the physical mechanisms underlying gas flows. In this article, we report an asympt
Publikováno v:
Physical Review E. 100
Oscillatory noncontinuum gas flows at the micro and nanoscales are characterized by two dimensionless groups: a dimensionless molecular length scale, the Knudsen number Kn, and a dimensionless frequency θ, relating the oscillatory frequency to the m
Autor:
Daniel R. Ladiges, John E. Sader
Publikováno v:
Physical Review Fluids. 3
Nanomechanical resonators and sensors, operated in ambient conditions, often generate low-Mach-number oscillating rarefied gas flows. Cercignani [C. Cercignani, J. Stat. Phys. 1, 297 (1969)JSTPBS0022-471510.1007/BF01007482] proposed a variational pri
Autor:
Daniel R. Ladiges, John E. Sader
Publikováno v:
Journal of Computational Physics. 284:351-366
Gas flows generated by resonating nanoscale devices inherently occur in the non-continuum, low Mach number regime. Numerical simulations of such flows using the standard direct simulation Monte Carlo (DSMC) method are hindered by high statistical noi