Zobrazeno 1 - 10
of 122
pro vyhledávání: '"Schreck, John S"'
Autor:
Schreck, John S., Gagne II, David John, Becker, Charlie, Chapman, William E., Elmore, Kim, Fan, Da, Gantos, Gabrielle, Kim, Eliot, Kimpara, Dhamma, Martin, Thomas, Molina, Maria J., Pryzbylo, Vanessa M., Radford, Jacob, Saavedra, Belen, Willson, Justin, Wirz, Christopher
Robust quantification of predictive uncertainty is critical for understanding factors that drive weather and climate outcomes. Ensembles provide predictive uncertainty estimates and can be decomposed physically, but both physics and machine learning
Externí odkaz:
http://arxiv.org/abs/2309.13207
Autor:
Schreck, John S., Petzke, William, Jimenez, Pedro A., Brummet, Thomas, Knievel, Jason C., James, Eric, Kosovic, Branko, Gagne, David John
Monitoring the fuel moisture content (FMC) of vegetation is crucial for managing and mitigating the impact of wildland fires. The combination of in situ FMC observations with numerical weather prediction (NWP) models and satellite retrievals has enab
Externí odkaz:
http://arxiv.org/abs/2305.11910
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 be computationally refocused to determine particle size and shape. How
Externí odkaz:
http://arxiv.org/abs/2301.02757
Two isoforms of beta amyloid peptides, Ab40 and Ab42, differ from each other only in the last two amino acids, IA, at the end of Ab42. They, however, differ significantly in their ability in inducing Alzheimer's disease (AD). The rate curves of fibri
Externí odkaz:
http://arxiv.org/abs/2209.10630
HOLODEC, an airborne cloud particle imager, captures holographic images of a fixed volume of cloud to characterize the types and sizes of cloud particles, such as water droplets and ice crystals. Cloud particle properties include position, diameter,
Externí odkaz:
http://arxiv.org/abs/2203.08898
Autor:
Doye, Jonathan P. K., Louis, Ard A., Schreck, John S., Romano, Flavio, Harrison, Ryan M., Mosayebi, Majid, Engel, Megan C., Ouldridge, Thomas E.
Publikováno v:
Frontiers of Nanoscience, Vol. 21, Ch. 9, pp 195-210 (2022)
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 DNA assemblies used in the field of DNA nanotechnology. The landscape
Externí odkaz:
http://arxiv.org/abs/2111.10166
Publikováno v:
Nanoscale 14, 2638-2648 (2022)
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 mechanical deformations of large DNA nanostructures. We illustrate this ap
Externí odkaz:
http://arxiv.org/abs/2108.06517
Investigation of protein self-assembly processes is important for the understanding of the growth processes of functional proteins as well as disease-causing amyloids. Inside cells, intrinsic molecular fluctuations are so high that they cast doubt on
Externí odkaz:
http://arxiv.org/abs/2102.01569
Autor:
Doye, Jonathan P. K., Fowler, Hannah, Prešern, Domen, Bohlin, Joakim, Rovigatti, Lorenzo, Romano, Flavio, Šulc, Petr, Wong, Chak Kui, Louis, Ard A., Schreck, John S., Engel, Megan C., Matthies, Michael, Benson, Erik, Poppleton, Erik, Snodin, Benedict E. K.
This chapter introduces how to run molecular dynamics simulations for DNA origami using the oxDNA coarse-grained model.
Comment: 17 pages, 5 figures
Comment: 17 pages, 5 figures
Externí odkaz:
http://arxiv.org/abs/2004.05052
The problem of retrosynthetic planning can be framed as one player game, in which the chemist (or a computer program) works backwards from a molecular target to simpler starting materials though a series of choices regarding which reactions to perfor
Externí odkaz:
http://arxiv.org/abs/1901.06569