The Ni isotopic composition of Ryugu reveals a common accretion region for carbonaceous chondrites

Autor: Spitzer, Fridolin, Kleine, Thorsten, Burkhardt, Christoph, Hopp, Timo, Yokoyama, Tetsuya, Abe, Yoshinari, Aléon, Jérôme, Alexander, Conel M. O'D., Amari, Sachiko, Amelin, Yuri, Bajo, Ken-ichi, Bizzarro, Martin, Bouvier, Audrey, Carlson, Richard W., Chaussidon, Marc, Choi, Byeon-Gak, Dauphas, Nicolas, Davis, Andrew M., Di Rocco, Tommaso, Fujiya, Wataru, Fukai, Ryota, Gautam, Ikshu, Haba, Makiko K., Hibiya, Yuki, Hidaka, Hiroshi, Homma, Hisashi, Hoppe, Peter, Huss, Gary R., Ichida, Kiyohiro, Iizuka, Tsuyoshi, Ireland, Trevor R., Ishikawa, Akira, Itoh, Shoichi, Kawasaki, Noriyuki, Kita, Noriko T., Kitajima, Kouki, Komatani, Shintaro, Krot, Alexander N., Liu, Ming-Chang, Masuda, Yuki, Morita, Mayu, Moynier, Fréderic, Motomura, Kazuko, Nakai, Izumi, Nagashima, Kazuhide, Nguyen, Ann, Nittler, Larry, Onose, Morihiko, Pack, Andreas, Park, Changkun, Piani, Laurette, Qin, Liping, Russell, Sara S., Sakamoto, Naoya, Schönbächler, Maria, Tafla, Lauren, Tang, Haolan, Terada, Kentaro, Terada, Yasuko, Usui, Tomohiro, Wada, Sohei, Wadhwa, Meenakshi, Walker, Richard J., Yamashita, Katsuyuki, Yin, Qing-Zhu, Yoneda, Shigekazu, Young, Edward D., Yui, Hiroharu, Zhang, Ai-Cheng, Nakamura, Tomoki, Naraoka, Hiroshi, Noguchi, Takaaki, Okazaki, Ryuji, Sakamoto, Kanako, Yabuta, Hikaru, Abe, Masanao, Miyazaki, Akiko, Nakato, Aiko, Nishimura, Masahiro, Okada, Tatsuaki, Yada, Toru, Yogata, Kasumi, Nakazawa, Satoru, Saiki, Takanao, Tanaka, Satoshi, Terui, Fuyuto, Tsuda, Yuichi, Watanabe, Sei-ichiro, Yoshikawa, Makoto, Tachibana, Shogo, Yurimoto, Hisayoshi

Publikováno v: Science Advances 10, 39, eadp2426 (2024)

The isotopic compositions of samples returned from Cb-type asteroid Ryugu and Ivuna-type (CI) chondrites are distinct from other carbonaceous chondrites, which has led to the suggestion that Ryugu and CI chondrites formed in a different region of the

Externí odkaz: http://arxiv.org/abs/2410.04192

Discovery of interstellar 1-cyanopyrene: a four-ring polycyclic aromatic hydrocarbon in TMC-1

Autor: Wenzel, Gabi, Cooke, Ilsa R., Changala, P. Bryan, Bergin, Edwin A., Zhang, Shuo, Burkhardt, Andrew M., Byrne, Alex N., Charnley, Steven B., Cordiner, Martin A., Duffy, Miya, Fried, Zachary T. P., Gupta, Harshal, Holdren, Martin S., Lipnicky, Andrew, Loomis, Ryan A., Shay, Hannah Toru, Shingledecker, Christopher N., Siebert, Mark A., Stewart, D. Archie, Willis, Reace H. J., Xue, Ci, Remijan, Anthony J., Wendlandt, Alison E., McCarthy, Michael C., McGuire, Brett A.

Polycyclic aromatic hydrocarbons (PAHs) are expected to be the most abundant class of organic molecules in space. Their interstellar lifecycle is not well understood, and progress is hampered by difficulties detecting individual PAH molecules. Here,

Externí odkaz: http://arxiv.org/abs/2410.00657

Striped magnetization plateau and chirality-reversible anomalous Hall effect in a magnetic kagome metal

Autor: Cheng, Erjian, Mao, Ning, Yang, Xiaotian, Song, Boqing, Lou, Rui, Ying, Tianping, Nie, Simin, Fedorov, Alexander, Bertran, François, Ding, Pengfei, Suvorov, Oleksandr, Zhang, Shu, Changdar, Susmita, Schnelle, Walter, Koban, Ralf, Yi, Changjiang, Burkhardt, Ulrich, Büchner, Bernd, Wang, Shancai, Zhang, Yang, Wang, Wenbo, Felser, Claudia

Kagome materials with magnetic frustration in two-dimensional networks are known for their exotic properties, such as the anomalous Hall effect (AHE) with non-collinear spin textures. However, the effects of one-dimensional (1D) spin chains within th

Externí odkaz: http://arxiv.org/abs/2409.01365

Uncertainty-Based Ensemble Learning For Speech Classification

Autor: Atmaja, Bagus Tris, Burkhardt, Felix

Speech classification has attracted increasing attention due to its wide applications, particularly in classifying physical and mental states. However, these tasks are challenging due to the high variability in speech signals. Ensemble learning has s

Externí odkaz: http://arxiv.org/abs/2407.17009

Are you sure? Analysing Uncertainty Quantification Approaches for Real-world Speech Emotion Recognition

Autor: Schrüfer, Oliver, Milling, Manuel, Burkhardt, Felix, Eyben, Florian, Schuller, Björn

Uncertainty Quantification (UQ) is an important building block for the reliable use of neural networks in real-world scenarios, as it can be a useful tool in identifying faulty predictions. Speech emotion recognition (SER) models can suffer from part

Externí odkaz: http://arxiv.org/abs/2407.01143