Zobrazeno 1 - 10
of 68 003
pro vyhledávání: '"Aki, A."'
Layered Multiple Scattering Approach to Hard X-ray Photoelectron Diffraction: Theory and Application
Autor:
Vo, Trung-Phuc, Tkach, Olena, Tricot, Sylvain, Sebilleau, Didier, Braun, Jurgen, Pulkkinen, Aki, Winkelmann, Aimo, Fedchenko, Olena, Lytvynenko, Yaryna, Vasilyev, Dmitry, Elmers, Hans-Joachim, Schonhense, Gerd, Minar, Jan
Photoelectron diffraction (PED) is a powerful and essential experimental technique for resolving the structure of surfaces with sub-angstrom resolution. In the high energy regime, researchers in angle-resolved photoemission spectroscopy (ARPES) obser
Externí odkaz:
http://arxiv.org/abs/2411.09669
Autor:
Wilson, David J., Froning, Cynthia S., Duvvuri, Girish M., Youngblood, Allison, France, Kevin, Brown, Alexander, Berta-Thompson, Zachory, Schneider, P. Christian, Buccino, Andrea P., Linsky, Jeffrey, Loyd, R. O. Parke, Miguel, Yamila, Newton, Elisabeth, Pineda, J. Sebastian, Redfield, Seth, Roberge, Aki, Rugheimer, Sarah, Vieytes, Mariela C.
We present 5-1x10^7 Angstrom spectral energy distributions (SEDs) for twelve M dwarf stars covering spectral types M0-M8. Our SEDs are provided for community use as a sequel to the Measurements of the Ultraviolet Spectral Characteristics of Low-mass
Externí odkaz:
http://arxiv.org/abs/2411.07394
We present a novel Bayesian framework to decompose the posterior predictive variance in a fitted Generalized Additive Mixed Model (GAMM) into explained and unexplained components. This decomposition enables a rigorous definition of Bayesian $R^{2}$.
Externí odkaz:
http://arxiv.org/abs/2410.14002
Autor:
Ren, Zheng, Huang, Jianwei, Tan, Hengxin, Biswas, Ananya, Pulkkinen, Aki, Zhang, Yichen, Xie, Yaofeng, Yue, Ziqin, Chen, Lei, Xie, Fang, Allen, Kevin, Wu, Han, Ren, Qirui, Rajapitamahuni, Anil, Kundu, Asish, Vescovo, Elio, Kono, Junichiro, Morosan, Emilia, Dai, Pengcheng, Zhu, Jian-Xin, Si, Qimiao, Minár, Ján, Yan, Binghai, Yi, Ming
Publikováno v:
Nature Communications 15, 9376 (2024)
Magnetic kagome materials provide a fascinating playground for exploring the interplay of magnetism, correlation and topology. Many magnetic kagome systems have been reported including the binary FemXn (X=Sn, Ge; m:n = 3:1, 3:2, 1:1) family and the r
Externí odkaz:
http://arxiv.org/abs/2410.06147
We propose ratio divergence (RD) learning for discrete energy-based models, a method that utilizes both training data and a tractable target energy function. We apply RD learning to restricted Boltzmann machines (RBMs), which are a minimal model that
Externí odkaz:
http://arxiv.org/abs/2409.07679
Autor:
Schmitt, Marvin, Li, Chengkun, Vehtari, Aki, Acerbi, Luigi, Bürkner, Paul-Christian, Radev, Stefan T.
Bayesian inference often faces a trade-off between computational speed and sampling accuracy. We propose an adaptive workflow that integrates rapid amortized inference with gold-standard MCMC techniques to achieve both speed and accuracy when perform
Externí odkaz:
http://arxiv.org/abs/2409.04332
Autor:
Makarov, Sergey S., Grigoryev, Sergey A., Zhakhovsky, Vasily V., Chuprov, Petr, Pikuz, Tatiana A., Inogamov, Nail A., Khokhlov, Victor V., Petrov, Yuri V., Perov, Eugene, Shepelev, Vadim, Shobu, Takehisa, Tominaga, Aki, Rapp, Ludovic, Rode, Andrei V., Juodkazis, Saulius, Makita, Mikako, Nakatsutsumi, Motoaki, Preston, Thomas R., Appel, Karen, Konopkova, Zuzana, Cerantola, Valerio, Brambrink, Erik, Schwinkendorf, Jan-Patrick, Mohacsi, István, Vozda, Vojtech, Hajkova, Vera, Burian, Tomas, Chalupsky, Jaromir, Juha, Libor, Ozaki, Norimasa, Kodama, Ryosuke, Zastrau, Ulf, Pikuz, Sergey A.
Sub-picosecond optical laser processing of metals is actively utilized for modification of a heated surface layer. But for deeper modification of different materials a laser in the hard x-ray range is required. Here, we demonstrate that a single 9-ke
Externí odkaz:
http://arxiv.org/abs/2409.03625
Active learning (AL) has shown promise for being a particularly data-efficient machine learning approach. Yet, its performance depends on the application and it is not clear when AL practitioners can expect computational savings. Here, we carry out a
Externí odkaz:
http://arxiv.org/abs/2408.11191
Autor:
Yokouchi, Tomoyuki, Kitaori, Aki, Yamaguchi, Daiki, Kanazawa, Naoya, Hirschberger, Max, Nagaosa, Naoto, Tokura, Yoshinori
When non-collinear spin textures are driven by current, an emergent electric field arises due to the emergent electromagnetic induction. So far, this phenomenon has been reported in several materials, manifesting the current-nonlinear imaginary part
Externí odkaz:
http://arxiv.org/abs/2407.15682
Large pretrained self-attention neural networks, or transformers, have been very successful in various tasks recently. The performance of a model on a given task depends on its ability to memorize and generalize the training data. Large transformer m
Externí odkaz:
http://arxiv.org/abs/2407.15425