Zobrazeno 1 - 10
of 15 497
pro vyhledávání: '"Beeson A"'
Expanding reinforcement learning (RL) to offline domains generates promising prospects, particularly in sectors where data collection poses substantial challenges or risks. Pivotal to the success of transferring RL offline is mitigating overestimatio
Externí odkaz:
http://arxiv.org/abs/2411.11088
Spacecraft trajectory design is a global search problem, where previous work has revealed specific solution structures that can be captured with data-driven methods. This paper explores two global search problems in the circular restricted three-body
Externí odkaz:
http://arxiv.org/abs/2410.02976
Autor:
Sinha, Amlan, Beeson, Ryne
The growing interest in the cislunar domain over the past decade has led to an increasing demand for low-thrust missions to key orbits within this region. These low-thrust missions, typically characterized by long thrust arcs, are highly susceptible
Externí odkaz:
http://arxiv.org/abs/2410.00297
Autor:
Sinha, Amlan, Beeson, Ryne
As low-thrust space missions increase in prevalence, it is becoming increasingly important to design robust trajectories against unforeseen thruster outages or missed thrust events. Accounting for such events is particularly important in multibody sy
Externí odkaz:
http://arxiv.org/abs/2409.19905
Autor:
Buder, S., Kos, J., Wang, E. X., McKenzie, M., Howell, M., Martell, S. L., Hayden, M. R., Zucker, D. B., Nordlander, T., Montet, B. T., Traven, G., Bland-Hawthorn, J., De Silva, G. M., Freeman, K. C., Lewis, G. F., Lind, K., Sharma, S., Simpson, J. D., Stello, D., Zwitter, T., Amarsi, A. M., Armstrong, J. J., Banks, K., Beavis, M. A., Beeson, K., Chen, B., Ciucă, I., Da Costa, G. S., de Grijs, R., Martin, B., Nataf, D. M., Ness, M. K., Rains, A. D., Scarr, T., Vogrinčič, R., Wang, Z., Wittenmyer, R. A., Xie, Y., Collaboration, The GALAH
The stars of the Milky Way carry the chemical history of our Galaxy in their atmospheres as they journey through its vast expanse. Like barcodes, we can extract the chemical fingerprints of stars from high-resolution spectroscopy. The fourth data rel
Externí odkaz:
http://arxiv.org/abs/2409.19858
The diffusion model has shown success in generating high-quality and diverse solutions to trajectory optimization problems. However, diffusion models with neural networks inevitably make prediction errors, which leads to constraint violations such as
Externí odkaz:
http://arxiv.org/abs/2406.00990
Autor:
Bista, Dinesh, Beeson, Willie B., Sengupta, Turbasu, Jackson, Jerome, Khanna, Shiv N, Liu, Kai, Yin, Gen
We show that the magnetic properties of high-entropy alloys (HEAs) can be captured by \textit{ab initio} calculations within the coherent potential approximation, where the atomic details of the high-entropy mixing are considered as an effective medi
Externí odkaz:
http://arxiv.org/abs/2404.18283
Optimal trajectory design is computationally expensive for nonlinear and high-dimensional dynamical systems. The challenge arises from the non-convex nature of the optimization problem with multiple local optima, which usually requires a global searc
Externí odkaz:
http://arxiv.org/abs/2403.05571
Autor:
Beeson, Kevin L., Kos, Janez, de Grijs, Richard, Martell, Sarah L., Bunder, Sven, Traven, Gregor, Lewis, Geraint F., Zafar, Tayyaba, Bland-Hawthorn, Joss, Freeman, Ken C., Hayden, Michael, Sharma, Sanjib, De Silva, Gayandhi M.
The ability to measure precise and accurate stellar effective temperatures ($T_{\rm{eff}}$) and surface gravities ($\log(g)$) is essential in determining accurate and precise abundances of chemical elements in stars. Measuring $\log(g)$ from isochron
Externí odkaz:
http://arxiv.org/abs/2402.07748
Autor:
Beeson, Willie B., Bista, Dinesh, Zhang, Huairuo, Krylyuk, Sergiy, Davydov, Albert V., Yin, Gen, Liu, Kai
Publikováno v:
Advanced Science, 2308574 (2024)
The vast high entropy alloy (HEA) composition space is promising for discovery of new material phases with unique properties. We explore the potential to achieve rare-earth-free high magnetic anisotropy materials in single-phase HEA thin films. Thin
Externí odkaz:
http://arxiv.org/abs/2311.06618