Zobrazeno 1 - 10
of 5 880
pro vyhledávání: '"P. Raji"'
Autor:
P. Raji, Balachandra Kumar K
Publikováno v:
Results in Surfaces and Interfaces, Vol 16, Iss , Pp 100261- (2024)
In this current research project, the peel extract of Luffa acutangula was employed to synthesize copper oxide nanoparticles (CuO NPs) for the very first time. X-ray diffraction, scanning electron microscopy, Fourier transform infrared spectroscopy,
Externí odkaz:
https://doaj.org/article/9feb2781fbaf4855acc7e17eb656e643
Autor:
S. Тabashi, D. Abtahi, B. Farzanegan, S. Behagh, P. Raji, M. Dahi, M. Moshari, M. Vosoughian, S. Dabir, S. Sayyadi, A. Tajbakhsh
Publikováno v:
Вестник анестезиологии и реаниматологии, Vol 20, Iss 2, Pp 66-72 (2023)
Background. Since the beginning of COVID-19 pandemic, the importance of clinical criteria for tracheal intubation in critically ill patients with respiratory failure became more noteworthy, especially in resource limitations. The objective was to eva
Externí odkaz:
https://doaj.org/article/4afa7f6d6f39456fb16776434f5df3e9
Achieving superconductivity in infinite-layer nickelate thin films by aluminum sputtering deposition
Autor:
Zhang, Dongxin, Raji, Aravind, Vicente-Arche, Luis M., Gloter, Alexandre, Bibes, Manuel, Iglesias, Lucía
The recent discovery of superconductivity in infinite-layer (IL, ABO$_2$) nickelates has opened a new avenue to deepen the understanding of high-temperature superconductivity. However, progress in this field is slowed by significant challenges in mat
Externí odkaz:
http://arxiv.org/abs/2411.04896
Autor:
Sedighi, Nafise, Sharbaf, Zahra, Trujillo, Ignacio, Eskandarlou, Sepideh, Golini, Giulia, Infante-Sainz, Raúl, Raji, Samane, Zaritsky, Dennis, Ardakani, Pedram Ashofteh, Chamba, Nushkia, Shahisavandi, Zahra Hosseini, Donnerstein, Richard, D'Onofrio, Mauro, Martin, Garreth, Montes, Mireia, Román, Javier
With the arrival of the next generation of ultra-deep optical imaging surveys reaching $\mu_V$$\sim$30 mag/arcsec$^2$ (3$\sigma$; 10"$\times$10"), the removal of scattered light due to the point spread function (PSF) effect remains a critical step fo
Externí odkaz:
http://arxiv.org/abs/2410.20190
Autor:
Sahib, Hoshang, Rosa, Francesco, Raji, Aravind, Merzoni, Giacomo, Ghiringhelli, Giacomo, Salluzzo, Marco, Gloter, Alexandre, Viart, Nathalie, Preziosi, Daniele
Several reports about infinite-layer nickelate thin films suggest that the superconducting critical temperature versus chemical doping phase diagram has a dome-like shape, similar to cuprates. Here, we demonstrate a highly reproducible superconductin
Externí odkaz:
http://arxiv.org/abs/2410.16147
Autor:
Lim, Subong, Raji, Wissam
We introduce the $L$-series of weakly holomorphic modular forms using Laplace transforms and give their functional equations. We then determine converse theorems for vector-valued harmonic weak Maass forms, Jacobi forms, and elliptic modular forms of
Externí odkaz:
http://arxiv.org/abs/2409.04258
Autor:
Taank, Pravrati, Ali, Asif, Raji, Aravind, Poonia, Ajay K., Beard, Matthew C., Singh, Ravi Shankar, Adarsh, K. V.
Publikováno v:
P. Taank et. al. Phys. Rev. B 110, 075205 (2024)
Transition metal dichalcogenides (TMDs) exhibit remarkable optical properties due to the diverse number of strongly bound excitons, which can be fine-tuned by alloying. Despite a flurry of research activity in characterizing these excitons, a compreh
Externí odkaz:
http://arxiv.org/abs/2408.16306
In many machine learning for healthcare tasks, standard datasets are constructed by amassing data across many, often fundamentally dissimilar, sources. But when does adding more data help, and when does it hinder progress on desired model outcomes in
Externí odkaz:
http://arxiv.org/abs/2408.04154
Autor:
Remonda, Adrian, Hansen, Nicklas, Raji, Ayoub, Musiu, Nicola, Bertogna, Marko, Veas, Eduardo, Wang, Xiaolong
Despite the availability of international prize-money competitions, scaled vehicles, and simulation environments, research on autonomous racing and the control of sports cars operating close to the limit of handling has been limited by the high costs
Externí odkaz:
http://arxiv.org/abs/2407.16680
YOLO is a deep neural network (DNN) model presented for robust real-time object detection following the one-stage inference approach. It outperforms other real-time object detectors in terms of speed and accuracy by a wide margin. Nevertheless, since
Externí odkaz:
http://arxiv.org/abs/2407.04943