Zobrazeno 1 - 10
of 28 469
pro vyhledávání: '"Calder A"'
Autor:
Candy S, Reeve J, Dobson R, Whittaker R, Garrett J, Warren J, Calder A, Tane T, Robertson T, Rashid U, Taylor D
Publikováno v:
International Journal of COPD, Vol Volume 18, Pp 1419-1429 (2023)
Sarah Candy,1,2 Julie Reeve,2 Rosie Dobson,3,4 Robyn Whittaker,3,4 Jeffrey Garrett,1 Jim Warren,5 Amanda Calder,3 Taria Tane,3 Trina Robertson,4 Usman Rashid,2 Denise Taylor2 1Te Whatu Ora Counties Manukau Health, Auckland, New Zealand; 2Health & Reh
Externí odkaz:
https://doaj.org/article/79bb0a5cfd2941c7a527556fdec027bd
Motivated by the challenge of moment recovery in hydrodynamic approximation in kinetic theory, we propose a data-driven approach for the hydrodynamic models. Inspired by continuous data assimilation, our method introduces a relaxation-based nudging s
Externí odkaz:
http://arxiv.org/abs/2409.03872
Autor:
Martin, Joshua, Feldman, Catherine, Siegmann, Eva, Curtis, Tony, Carlson, David, Coskun, Firat, Wood, Daniel, Gonzalez, Raul, Harrison, Robert J., Calder, Alan C.
Publikováno v:
Practice and Experience in Advanced Research Computing 2024 Article no.8
Astrophysical simulations are computation, memory, and thus energy intensive, thereby requiring new hardware advances for progress. Stony Brook University recently expanded its computing cluster "SeaWulf" with an addition of 94 new nodes featuring In
Externí odkaz:
http://arxiv.org/abs/2408.16084
Autor:
Wang, Gang, Wang, Ningning, Lu, Tenglong, Calder, Stuart, Yan, Jiaqiang, Shi, Lifen, Hou, Jun, Ma, Liang, Zhang, Lili, Sun, Jianping, Wang, Bosen, Meng, Sheng, Liu, Miao, Cheng, Jinguang
The observation of high-$T_c$ superconductivity (HTSC) in concomitant with pressure-induced orthorhombic-tetragonal structural transition in the bilayer La$_{3}$Ni$_2$O$_7$ has sparked hopes of achieving HTSC by stabilizing the tetragonal phase at am
Externí odkaz:
http://arxiv.org/abs/2408.09421
Polycrystalline samples of RE2O2CO3 (RE = Pr, Nd, Gd, Tb, Dy, Ho, Er, and Yb) with a unique rare-earth bilayer of triangular lattice were synthesized and studied by DC and AC magnetic susceptibility. Data reveals various magnetic ground states includ
Externí odkaz:
http://arxiv.org/abs/2407.08606
In this paper we prove discrete to continuum convergence rates for Poisson Learning, a graph-based semi-supervised learning algorithm that is based on solving the graph Poisson equation with a source term consisting of a linear combination of Dirac d
Externí odkaz:
http://arxiv.org/abs/2407.06783
Autor:
Wang, Ningning, Wang, Gang, Shen, Xiaoling, Hou, Jun, Luo, Jun, Ma, Xiaoping, Yang, Huaixin, Shi, Lifen, Dou, Jie, Feng, Jie, Yang, Jie, Shi, Yunqing, Ren, Zhian, Ma, Hanming, Yang, Pengtao, Liu, Ziyi, Liu, Yue, Zhang, Hua, Dong, Xiaoli, Wang, Yuxin, Jiang, Kun, Hu, Jiangping, Calder, Stuart, Yan, Jiaqiang, Sun, Jianping, Wang, Bosen, Zhou, Rui, Uwatoko, Yoshiya, Cheng, Jinguang
The Ruddlesden-Popper (R-P) bilayer nickelate, La3Ni2O7, was recently found to show signatures of high-temperature superconductivity (HTSC) at pressures above 14 GPa. Subsequent investigations achieved zero resistance in single- and poly-crystalline
Externí odkaz:
http://arxiv.org/abs/2407.05681
Autor:
Clements, Eleanor M., Ovchinnikov, Dmitry, Raghuvanshi, Parul R., Cooper, Valentino R., Okamoto, Satoshi, Christianson, Andrew D., Paddison, Joseph A. M., Ortiz, Brenden R., Calder, Stuart, May, Andrew F., Xu, Xiaodong, Yan, Jiaqiang, McGuire, Michael A.
Cleavable metallic antiferromagnets may be of use for low-dissipation spintronic devices; however, few are currently known. Here we present orthorhombic MnRhBi3 as one such compound and present a thorough study of its physical properties. Exfoliation
Externí odkaz:
http://arxiv.org/abs/2407.00690
Current approaches for modeling discrete-valued outcomes associated with spatially-dependent areal units incur computational and theoretical challenges, especially in the Bayesian setting when full posterior inference is desired. As an alternative, w
Externí odkaz:
http://arxiv.org/abs/2406.15700
This work investigates the online machine learning problem of prediction with expert advice in an adversarial setting through numerical analysis of, and experiments with, a related partial differential equation. The problem is a repeated two-person g
Externí odkaz:
http://arxiv.org/abs/2406.05754