Zobrazeno 1 - 10
of 3 528
pro vyhledávání: '"Nestler P"'
Autor:
Lin, W., Rostomyan, T., Gilman, R., Strauch, S., Meier, C., Nestler, C., Ali, M., Atac, H., Bernauer, J. C., Briscoe, W. J., Ndukwe, A. Christopher, Cline, E. W., Deiters, K., Dogra, S., Downie, E. J., Duan, Z., Fernando, I. P., Flannery, A., Ghosal, D., Golossanov, A., Guo, J., Ifat, N. S., Ilieva, Y., Kohl, M., Lavrukhin, I., Li, L., Lorenzon, W., Mohanmurthy, P., Nazeer, S. J., Nicol, M., Patel, T., Prosnyakov, A., Ransome, R. D., Ratvasky, R., Reid, H., Reimer, P. E., Richards, R., Ron, G., Ruimi, O. M., Salamone, K., Sparveris, N., Wuerfel, N., Yaari, D. A.
The MUon Scattering Experiment (MUSE) was motivated by the proton radius puzzle arising from the discrepancy between muonic hydrogen spectroscopy and electron-proton measurements. The MUSE physics goals also include testing lepton universality, preci
Externí odkaz:
http://arxiv.org/abs/2408.13380
As material modeling and simulation has become vital for modern materials science, research data with distinctive physical principles and extensive volume are generally required for full elucidation of the material behavior across all relevant scales
Externí odkaz:
http://arxiv.org/abs/2407.02162
Autor:
Wang, Fei, Nestler, Britta
For the water-air system, the density ratio is as high as about 1000; no model can fully tackle such a high density ratio system. Here, we present an alternative theory for the density evolution equations in computational fluid dynamics, differing fr
Externí odkaz:
http://arxiv.org/abs/2406.19786
One of the main computational bottlenecks when working with kernel based learning is dealing with the large and typically dense kernel matrix. Techniques dealing with fast approximations of the matrix vector product for these kernel matrices typicall
Externí odkaz:
http://arxiv.org/abs/2404.17344
Breakup of a liquid jet into a chain of droplets is common in nature and industry. Previous researchers developed profound mathematic and fluid dynamic models to address this breakup phenomenon starting from tiny perturbations. However, the morpholog
Externí odkaz:
http://arxiv.org/abs/2402.08370
Support Vector Machines (SVMs) are an important tool for performing classification on scattered data, where one usually has to deal with many data points in high-dimensional spaces. We propose solving SVMs in primal form using feature maps based on t
Externí odkaz:
http://arxiv.org/abs/2402.02438
Brownian motion (BM) is pivotal in natural science for the stochastic motion of microscopic droplets. In this study, we investigate BM driven by thermal composition noise at sub-micro scales, where inter-molecular diffusion and surface tension both a
Externí odkaz:
http://arxiv.org/abs/2311.13320
The dynamics of active smectic liquid crystals confined on a spherical surface is explored through an active phase field crystal model. Starting from an initially randomly perturbed isotropic phase, several types of topological defects are spontaneou
Externí odkaz:
http://arxiv.org/abs/2311.03836
Autor:
Ji, Ye, Koeppe, Arnd, Altschuh, Patrick, Griem, Lars, Rajagopal, Deepalaxmi, Nestler, Britta, Chen, Weijin, Zhang, Yi, Zheng, Yue
When modeling microstructures, the computational resource requirements increase rapidly as the simulation domain becomes larger. As a result, simulating a small representative fraction under periodic boundary conditions is often a necessary simplific
Externí odkaz:
http://arxiv.org/abs/2310.20379
Lecture notes from the course given by Professor Sara A. Solla at the Les Houches summer school on "Statistical physics of Machine Learning". The notes discuss neural information processing through the lens of Statistical Physics. Contents include Ba
Externí odkaz:
http://arxiv.org/abs/2309.17006