200 citations
- NSF National Center for Atmospheric ResearchUS24 papers
- Consejo Nacional de Investigaciones Científicas y TécnicasAR9 papers
- Universidad de Buenos AiresAR9 papers
- Centre National de la Recherche ScientifiqueFR8 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR6 papers
- Instituto de Física de Buenos AiresAR6 papers
- Astrophysique, Instrumentation et ModélisationFR5 papers
- Institut de Recherche sur les Lois Fondamentales de l'UniversFR5 papers
- University of Colorado BoulderUS5 papers
- Lagrange LaboratoryFR4 papers
- Observatoire de la Côte d’AzurFR4 papers
- Aarhus UniversityDK3 papers
24 papers
Mimicking non-ideal instrument behavior for hologram processing using neural style translation
John S. Schreck, Matthew Hayman, Gabrielle Gantos +2
Holographic cloud probes provide unprecedented information on cloud particle density, size and position. Each laser shot captures particles within a large volume, where images can…
Free-energy landscapes of DNA and its assemblies: Perspectives from coarse-grained modelling
Jonathan P. K. Doye, Ard A. Louis, John S. Schreck +5
This chapter will provide an overview of how characterizing free-energy landscapes can provide insights into the biophysical properties of DNA, as well as into the behaviour of the…
Characterizing the free-energy landscapes of DNA origamis
Chak Kui Wong, Chuyan Tang, John S. Schreck +1
We show how coarse-grained modelling combined with umbrella sampling using distance-based order parameters can be applied to compute the free-energy landscapes associated with mech…
The oxDNA coarse-grained model as a tool to simulate DNA origami
Jonathan P. K. Doye, Hannah Fowler, Domen Prešern +12
This chapter introduces how to run molecular dynamics simulations for DNA origami using the oxDNA coarse-grained model.
Assimilation of semi-qualitative observations with a stochastic Ensemble Kalman Filter
Abhishek Shah, Mohamad El Gharamti, Laurent Bertino
The Ensemble Kalman filter assumes the observations to be Gaussian random variables with a pre-specified mean and variance. In practice, observations may also have detection limits…
Seismic inference of 57 stars using full-length Kepler data sets
Orlagh Creevey, Travis Metcalfe, David Salabert +6
We present stellar properties (mass, age, radius, distances) of 57 stars from a seismic inference using full-length data sets from Kepler. These stars comprise active stars, planet…