Zobrazeno 81 - 90
of 125 318
pro vyhledávání: '"Constantin, A."'
Autor:
Podelski, Constantin
We study the conormal geometry theta divisors of certain singular bielliptic curves. We apply these results to the boundary components $\mathscr{S}_\underline{d}$ of the bielliptic Prym locus. We obtain results on the Gauss map, compute the Chern-Mat
Externí odkaz:
http://arxiv.org/abs/2312.16591
Autor:
Grooten, Bram, Tomilin, Tristan, Vasan, Gautham, Taylor, Matthew E., Mahmood, A. Rupam, Fang, Meng, Pechenizkiy, Mykola, Mocanu, Decebal Constantin
The visual world provides an abundance of information, but many input pixels received by agents often contain distracting stimuli. Autonomous agents need the ability to distinguish useful information from task-irrelevant perceptions, enabling them to
Externí odkaz:
http://arxiv.org/abs/2312.15339
We prove the existence and uniqueness of global smooth solutions of the critical dissipative SQG equation in bounded domains in $\mathbb R^2$. This solves an open problem. We introduce a new methodology of transforming the single nonlocal nonlinear e
Externí odkaz:
http://arxiv.org/abs/2312.12265
Autor:
Mowry, Nathan J., Krüger, Constantin R., Bongiovanni, Gabriele, Drabbels, Marcel, Lorenz, Ulrich J.
Water can be vitrified if it is cooled at rates exceeding $3*10^5$ K/s. This makes it possible to outrun crystallization in so-called no man's land, a range of deeply supercooled temperatures where water crystallizes rapidly. One would naively assume
Externí odkaz:
http://arxiv.org/abs/2312.11579
Autor:
Popescu, Cosmin Constantin, Aryana, Kiumars, Garud, Parth, Dao, Khoi Phuong, Vitale, Steven, Liberman, Vladimir, Bae, Hyung-Bin, Lee, Tae-Woo, Kang, Myungkoo, Richardson, Kathleen A., Ocampo, Carlos A. Rios, Zhang, Yifei, Gu, Tian, Hu, Juejun, Kim, Hyun Jung
Programmable and reconfigurable optics hold significant potential for transforming a broad spectrum of applications, spanning space explorations to biomedical imaging, gas sensing, and optical cloaking. The ability to adjust the optical properties of
Externí odkaz:
http://arxiv.org/abs/2312.10468
Autor:
Luo, Xiangde, Fu, Jia, Zhong, Yunxin, Liu, Shuolin, Han, Bing, Astaraki, Mehdi, Bendazzoli, Simone, Toma-Dasu, Iuliana, Ye, Yiwen, Chen, Ziyang, Xia, Yong, Su, Yanzhou, Ye, Jin, He, Junjun, Xing, Zhaohu, Wang, Hongqiu, Zhu, Lei, Yang, Kaixiang, Fang, Xin, Wang, Zhiwei, Lee, Chan Woong, Park, Sang Joon, Chun, Jaehee, Ulrich, Constantin, Maier-Hein, Klaus H., Ndipenoch, Nchongmaje, Miron, Alina, Li, Yongmin, Zhang, Yimeng, Chen, Yu, Bai, Lu, Huang, Jinlong, An, Chengyang, Wang, Lisheng, Huang, Kaiwen, Gu, Yunqi, Zhou, Tao, Zhou, Mu, Zhang, Shichuan, Liao, Wenjun, Wang, Guotai, Zhang, Shaoting
Radiation therapy is a primary and effective NasoPharyngeal Carcinoma (NPC) treatment strategy. The precise delineation of Gross Tumor Volumes (GTVs) and Organs-At-Risk (OARs) is crucial in radiation treatment, directly impacting patient prognosis. P
Externí odkaz:
http://arxiv.org/abs/2312.09576
Autor:
Souto, Rubén Seoane, Leijnse, Martin, Schrade, Constantin, Valentini, Marco, Katsaros, Georgios, Danon, Jeroen
Publikováno v:
Phys. Rev. Research 6, L022002 (2024)
Josephson diodes are superconducting elements that show an asymmetry in the critical current depending on the direction of the current. Here, we theoretically explore how an alternating current bias can tune the response of such a diode. We show that
Externí odkaz:
http://arxiv.org/abs/2312.09204
We consider a model convection-diffusion problem and present our recent numerical and analysis results regarding mixed finite element formulation and discretization in the singular perturbed case when the convection term dominates the problem. Using
Externí odkaz:
http://arxiv.org/abs/2402.03314
The purpose of this work is to study the effect of exchanging initial condition models in a modular hybrid approach. The focus lies on the event-by-event correlations of elliptic and triangular flow. This study is performed in the hybrid approach SMA
Externí odkaz:
http://arxiv.org/abs/2312.05001
Autor:
Wu, Boqian, Xiao, Qiao, Liu, Shiwei, Yin, Lu, Pechenizkiy, Mykola, Mocanu, Decebal Constantin, Van Keulen, Maurice, Mocanu, Elena
Deep neural networks have evolved as the leading approach in 3D medical image segmentation due to their outstanding performance. However, the ever-increasing model size and computation cost of deep neural networks have become the primary barrier to d
Externí odkaz:
http://arxiv.org/abs/2312.04727