Zobrazeno 1 - 10
of 83 345
pro vyhledávání: '"PAPADOPOULOS A."'
Autor:
Matheron, Aimé, Marquès, Jean-Raphaël, Lelasseux, Vincent, Shou, Yinren, Andriyash, Igor A., Phung, Vanessa Ling Jen, Ayoul, Yohann, Beluze, Audrey, Dăncuş, Ioan, Dorchies, Fabien, D'Souza, Flanish, Dumergue, Mathieu, Frotin, Mickaël, Gautier, Julien, Gobert, Fabrice, Gugiu, Marius, Krishnamurthy, Santhosh, Kargapolov, Ivan, Kroupp, Eyal, Lancia, Livia, Lazăr, Alexandru, Leblanc, Adrien, Lo, Mohamed, Mataja, Damien, Mathieu, François, Papadopoulos, Dimitrios, Claveria, Pablo San Miguel, Phuoc, Kim Ta, Talposi, Anda-Maria, Tata, Sheroy, Ur, Călin A., Ursescu, Daniel, Văsescu, Lidia, Doria, Domenico, Malka, Victor, Ghenuche, Petru, Corde, Sebastien
With today's multi-petawatt lasers, testing quantum electrodynamics (QED) in the strong field regime, where the electric field exceeds the Schwinger critical field in the rest frame of an electron, becomes within reach. Inverse Compton scattering of
Externí odkaz:
http://arxiv.org/abs/2412.19337
Autor:
Monache, Luca Delle, Steinhoff, Daniel F., Weihs, Rachel, Simpson, Matthew, Ghazvinian, Mohammadvaghef, Gorooh, Vesta Afzali, Lupo, Kevin M., Mulrooney, Patrick, Papadopoulos, Caroline, Ralph, F. Martin
A 200-member ensemble developed at the Center for Western Weather and Water Extremes based on the Weather Research and Forecast atmospheric model tailored for the prediction of atmospheric rivers and associated heavy-to-extreme precipitation events o
Externí odkaz:
http://arxiv.org/abs/2412.14332
Autor:
Papadopoulos, Ioannis P. A.
We leverage the proximal Galerkin algorithm (Keith and Surowiec, Foundations of Computational Mathematics, 2024, DOI: 10.1007/s10208-024-09681-8), a recently introduced mesh-independent algorithm, to obtain a high-order finite element solver for vari
Externí odkaz:
http://arxiv.org/abs/2412.13733
Autor:
Yao, Weipeng, Lelièvre, Ronan, Cohen, Itamar, Waltenspiel, Tessa, Allaoua, Amokrane, Antici, Patrizio, Ayoul, Yohan, Beck, Arie, Beluze, Audrey, Blancard, Christophe, Cavanna, Daniel, Chabanis, Mélanie, Chen, Sophia N., Cohen, Erez, Ducasse, Quentin, Dumergue, Mathieu, Hai, Fouad El, Evrard, Christophe, Filippov, Evgeny, Freneaux, Antoine, Gautier, Donald Cort, Gobert, Fabrice, Goupille, Franck, Grech, Michael, Gremillet, Laurent, Heller, Yoav, d'Humières, Emmanuel, Lahmar, Hanna, Lancia, Livia, Lebas, Nathalie, Lecherbourg, Ludovic, Marchand, Stéphane, Mataja, Damien, Meyniel, Gabriel, Michaeli, David, Papadopoulos, Dimitris, Perez, Frédéric, Pikuz, Sergy, Pomerantz, Ishay, Renaudin, Patrick, Romagnani, Lorenzo, Trompier, François, Veuillot, Edouard, Vinchon, Thibaut, Mathieu, François, Fuchs, Julien
We present the results of the second commissioning phase of the short-focal-length area of the Apollon laser facility (located in Saclay, France), which was performed with the main laser beam (F1), scaled to a peak power of 2 PetaWatt. Under the cond
Externí odkaz:
http://arxiv.org/abs/2412.09267
Autor:
Ohland, Jonas Benjamin, Lebas, Nathalie, Deo, Vincent, Guyon, Olivier, Mathieu, François, Audebert, Patrick, Papadopoulos, Dimitrios
Traditional wavefront control in high-energy, high-intensity laser systems usually lacks real-time capability, failing to address dynamic aberrations. This limits experimental accuracy due to shot-to-shot fluctuations and necessitates long cool-down
Externí odkaz:
http://arxiv.org/abs/2412.08418
EXplainable Artificial Intelligence (XAI) approaches are widely applied for identifying fairness issues in Artificial Intelligence (AI) systems. However, in the context of facial analysis, existing XAI approaches, such as pixel attribution methods, o
Externí odkaz:
http://arxiv.org/abs/2412.07313
Mitigating biases in computer vision models is an essential step towards the trustworthiness of artificial intelligence models. Existing bias mitigation methods focus on a small set of predefined biases, limiting their applicability in visual dataset
Externí odkaz:
http://arxiv.org/abs/2412.06632
Energy efficiency of Convolutional Neural Networks (CNNs) has become an important area of research, with various strategies being developed to minimize the power consumption of these models. Previous efforts, including techniques like model pruning,
Externí odkaz:
http://arxiv.org/abs/2412.01039
Recent works have established that AI models introduce spectral artifacts into generated images and propose approaches for learning to capture them using labeled data. However, the significant differences in such artifacts among different generative
Externí odkaz:
http://arxiv.org/abs/2411.19417
Autor:
Gaidys, Mantas, Maragkaki, Stella, Mimidis, Alexandros, Papadopoulos, Antonis, Lemonis, Andreas, Skoulas, Evangelos, Žemaitis, Andrius, Stratakis, Emmanuel, Gedvilas, Mindaugas
In this research, wettability control by area fraction of laser ablated surface of copper is presented. The functional surfaces with full wettability control from highly hydrophilic to super-hydrophobic were created on copper by nanosecond (ns) and p
Externí odkaz:
http://arxiv.org/abs/2411.17324