Zobrazeno 1 - 10
of 97 215
pro vyhledávání: '"DÁVID, M. A."'
Autor:
Baldock, Holly C. M., Huang, David M.
Two-dimensional (2D) nanomaterials exhibit unique properties that are promising for diverse applications, including those relevant to concentration-gradient-driven transport of electrolyte solutions through porous membranes made from these materials,
Externí odkaz:
http://arxiv.org/abs/2412.03781
Quantifying the critical micelle concentration (CMC) and understanding its relationship with both the intrinsic molecular structures and environmental conditions are crucial for the rational design of surfactants. Here, we develop a self-consistent f
Externí odkaz:
http://arxiv.org/abs/2412.03549
Autor:
Williams, David M., Nishikawa, Hiroaki
Many time-dependent problems in the field of computational fluid dynamics can be solved in a four-dimensional space-time setting. However, such problems are computationally expensive to solve using modern high-order numerical methods. In order to add
Externí odkaz:
http://arxiv.org/abs/2412.02555
There are very few mathematical results governing the interpolation of functions or their gradients on Delaunay meshes in more than two dimensions. Unfortunately, the standard techniques for proving optimal interpolation properties are often limited
Externí odkaz:
http://arxiv.org/abs/2412.02551
Autor:
Bradshaw, Casey, Blei, David M.
Publikováno v:
The Annals of Applied Statistics 18.4 (2024): 3146-3164
In an effort to quantify and combat sexual assault, US colleges and universities are required to disclose the number of reported sexual assaults on their campuses each year. However, many instances of sexual assault are never reported to authorities,
Externí odkaz:
http://arxiv.org/abs/2412.00823
Ghost projection is the reversed process of computational classical ghost imaging that allows any desired image to be synthesized using a linear combination of illuminating patterns. Typically, physical attenuating masks are used to produce these ill
Externí odkaz:
http://arxiv.org/abs/2411.19053
Autor:
Escott, Emmy L., Morabito, Leah K., Scholtz, Jan, Hickox, Ryan C., Harrison, Chris M., Alexander, David M., Arnaudova, Marina I., Smith, Daniel J. B., Duncan, Kenneth J., Petley, James, Kondapally, Rohit, Rivera, Gabriela Calistro, Kolwa, Sthabile
Some Active Galactic Nuclei (AGN) host outflows which have the potential to alter the host galaxy's evolution (AGN feedback). These outflows have been linked to enhanced radio emission. Here we investigate the connection between low-frequency radio e
Externí odkaz:
http://arxiv.org/abs/2411.19326
Autor:
Goswami, Shubhang, Jensen, Scott, Yang, Yubo, Holzmann, Markus, Pierleoni, Carlo, Ceperley, David M.
We present results and discuss methods for computing the melting temperature of dense molecular hydrogen using a machine learned model trained on quantum Monte Carlo data. In this newly trained model, we emphasize the importance of accurate total ene
Externí odkaz:
http://arxiv.org/abs/2411.15665
Autor:
How, Ying Ying, Reyne, Nicole, Croughan, Michelle K., Cmielewski, Patricia, Batey, Daniel, Costello, Lucy F., Smith, Ronan, Ahlers, Jannis N., Cholewa, Marian, Kolodziej, Magdalena, Duerr, Julia, Mall, Marcus A., Kitchen, Marcus J., Asselin-Labat, Marie-Liesse, Paganin, David M., Donnelley, Martin, Morgan, Kaye S.
X-ray dark-field imaging is well-suited to visualizing the health of the lungs because the alveoli create a strong dark-field signal. However, time-resolved and tomographic (i.e., 4D) dark-field imaging is challenging, since most x-ray dark-field tec
Externí odkaz:
http://arxiv.org/abs/2411.14669
Parametrised quantum circuits offer expressive and data-efficient representations for machine learning. Due to quantum states residing in a high-dimensional Hilbert space, parametrised quantum circuits have a natural interpretation in terms of kernel
Externí odkaz:
http://arxiv.org/abs/2411.06650