Zobrazeno 1 - 10
of 147 611
pro vyhledávání: '"MARK, S."'
Autor:
Zhang, Zhoujian, Mukherjee, Sagnick, Liu, Michael C., Fortney, Jonathan J., Mader, Emily, Best, William M. J., Dupuy, Trent J., Leggett, Sandy K., Karalidi, Theodora, Line, Michael R., Marley, Mark S., Morley, Caroline V., Phillips, Mark W., Siverd, Robert J., Zalesky, Joseph A.
Located 10.888 pc from Earth, COCONUTS-2b is a planetary-mass companion to a young (150--800 Myr) M3 star, with a wide orbital separation (6471 au) and a low companion-to-host mass ratio ($0.021\pm0.005$). We have studied the atmospheric properties o
Externí odkaz:
http://arxiv.org/abs/2410.10939
The novel series of hole-doped quadruple manganite perovskites Hg$_{1-x}$Na$_x$Mn$_3$Mn$_4$O$_{12}$ (HNMO) has been synthesized and its charge and orbital order behavior investigated through high-resolution synchrotron powder x-ray diffraction techni
Externí odkaz:
http://arxiv.org/abs/2410.08836
Autor:
Patton, Michael, Go, Dongwook, Pharis, Daniel A., Huang, Xiaoxi, Gurung, Gautam, Tsymbal, Evgeny Y., Ralph, Daniel C., Rzchowski, Mark S., Mokrousov, Yuriy, Eom, Chang-Beom
Recent discovery of orbital currents in several material platforms including light element metals has opened new possibilities for exploring novel transport phenomena and applications to spin-orbitronic devices. These orbital currents, similar to spi
Externí odkaz:
http://arxiv.org/abs/2410.02996
Autor:
Yao, Yuchuan, Pal, Pratap, Campbell, Neil G., Gurung, Gautam, Johnson, Roger D., Manuel, Pascal, Tsymbal, Evgeny Y., Rzchowski, Mark S., Eom, Chang-Beom
The emergence of anomalous Hall effects (AHE) in antiferromagnets presents an intriguing phenomenon with potential spintronic device applications due to their ultrafast switching dynamics. Mn3NiN antiperovskite stands out as a promising candidate owi
Externí odkaz:
http://arxiv.org/abs/2410.02990
Autor:
Badea, Anthony, Bean, Alice, Berry, Doug, Dickinson, Jennet, DiPetrillo, Karri, Fahim, Farah, Gray, Lindsey, Di Guglielmo, Giuseppe, Jiang, David, Kovach-Fuentes, Rachel, Maksimovic, Petar, Mills, Corrinne, Neubauer, Mark S., Parpillon, Benjamin, Shekar, Danush, Swartz, Morris, Syal, Chinar, Tran, Nhan, Yoo, Jieun
Detectors at future high energy colliders will face enormous technical challenges. Disentangling the unprecedented numbers of particles expected in each event will require highly granular silicon pixel detectors with billions of readout channels. Wit
Externí odkaz:
http://arxiv.org/abs/2410.02945
Understanding and predicting recreational fishing activity is important for sustainable fisheries management. However, traditional methods of measuring fishing pressure, such as surveys, can be costly and limited in both time and spatial extent. Pred
Externí odkaz:
http://arxiv.org/abs/2409.17425
Autor:
Hoque, Md Shafkat Bin, Liao, Michael E., Zare, Saman, Liu, Zeyu, Koh, Yee Rui, Huynh, Kenny, Shi, Jingjing, Graham, Samuel, Luo, Tengfei, Ahmad, Habib, Doolittle, W. Alan, Goorsky, Mark S., Hopkins, Patrick E.
Bulk AlN possesses high thermal conductivity due to long phonon mean-free-paths, high group velocity, and long lifetimes. However, the thermal transport scenario becomes very different in a thin AlN film due to phonon-defect and phonon-boundary scatt
Externí odkaz:
http://arxiv.org/abs/2409.14328
Autor:
French, Jenni R., Casewell, Sarah L., Amaro, Rachael C., Lothringer, Joshua D., Mayorga, L. C., Littlefair, Stuart P., Lew, Ben W. P., Zhou, Yifan, Apai, Daniel, Marley, Mark S., Parmentier, Vivien, Tan, Xianyu
Due to their short orbital periods and relatively high flux ratios, irradiated brown dwarfs in binaries with white dwarfs offer better opportunities to study irradiated atmospheres than hot Jupiters, which have lower planet-to-star flux ratios. WD103
Externí odkaz:
http://arxiv.org/abs/2409.06874
Fishing is a valuable recreational activity in our society. To assess future fishing activity, identifying variables related to differences in fishing activity, such as gender or Covid-19, is helpful. We conducted a Canada-wide email survey of users
Externí odkaz:
http://arxiv.org/abs/2409.07492
We apply multi-algorithm machine learning models to TESS 2-minute survey data from Sectors 1-72 to identify stellar flares. Models trained with Deep Neural Network, Random Forest, and XGBoost algorithms, respectively, utilized four flare light curve
Externí odkaz:
http://arxiv.org/abs/2409.02540