Zobrazeno 1 - 10
of 6 805
pro vyhledávání: '"Collard, P."'
Autor:
Guetarni, Bilel, Windal, Feryal, Benhabiles, Halim, Chaibi, Mahfoud, Dubois, Romain, Leteurtre, Emmanuelle, Collard, Dominique
Predicting the response of a patient to a cancer treatment is of high interest. Nonetheless, this task is still challenging from a medical point of view due to the complexity of the interaction between the patient organism and the considered treatmen
Externí odkaz:
http://arxiv.org/abs/2408.03954
Autor:
Martin, Pierrick, de Guillebon, Louis, Collard, Eliot, Mertz, Inès, Mohrmann, Lars, Principe, Giacomo, Lemoine-Goumard, Marianne, Marcowith, Alexandre, Terrier, Régis, Filipović, Miroslav
There is growing evidence from gamma-ray observations at high and very high energies that particle escape is a key aspect shaping the morphological properties of pulsar wind nebulae (PWNe) at various evolutionary stages. We aim to provide a simple mo
Externí odkaz:
http://arxiv.org/abs/2407.07583
Mathematics is a highly specialized domain with its own unique set of challenges. Despite this, there has been relatively little research on natural language processing for mathematical texts, and there are few mathematical language resources aimed a
Externí odkaz:
http://arxiv.org/abs/2406.11577
Raman spectroscopy is a label-free, chemically specific optical technique which provides detailed information about the chemical composition and structure of the excited analyte. Because of this, there is growing research interest in miniaturizing Ra
Externí odkaz:
http://arxiv.org/abs/2405.13681
Autor:
Zheng, Di, Kashif, Muhammad Fayyaz, Piscopo, Linda, Collard, Liam, Ciraci, Cristian, De Vittorio, Massimo, Pisanello, Ferruccio
Creating plasmonic nanoparticles on a tapered optical fiber tip enables a remote SERS sensing probe, ideal for challenging sampling scenarios like biological tissue, specific cells, on-site environmental monitoring, and deep brain structures. However
Externí odkaz:
http://arxiv.org/abs/2404.13695
Artificial intelligence and deep learning are currently reshaping numerical simulation frameworks by introducing new modeling capabilities. These frameworks are extensively investigated in the context of model correction and parameterization where th
Externí odkaz:
http://arxiv.org/abs/2311.10665
Autor:
Ziegler, Sebastian, Delens, Megan, Collard, Ylona, Hubert, Maxime, Vandewalle, Nicolas, Smith, Ana-Sunčana
In nature, metachronal coordination is an efficient strategy for fluid pumping and self-propulsion. Yet, mimetic systems for this type of organization are scarce. Recently, metachronal motion was observed in a bead-based magnetocapillary mesoswimmer,
Externí odkaz:
http://arxiv.org/abs/2311.03269
Autor:
Dijkema, Jurgen, Xue, Xiao, Harvey-Collard, Patrick, Rimbach-Russ, Maximilian, de Snoo, Sander L., Zheng, Guoji, Sammak, Amir, Scappucci, Giordano, Vandersypen, Lieven M. K.
Direct interactions between quantum particles naturally fall off with distance. For future-proof qubit architectures, however, it is important to avail of interaction mechanisms on different length scales. In this work, we utilize a superconducting r
Externí odkaz:
http://arxiv.org/abs/2310.16805
Autor:
Massai, L., Hetényi, B., Mergenthaler, M., Schupp, F. J., Sommer, L., Paredes, S., Bedell, S. W., Harvey-Collard, P., Salis, G., Fuhrer, A., Hendrickx, N. W.
Hole spins in Ge/SiGe heterostructure quantum dots have emerged as promising qubits for quantum computation. The strong spin-orbit coupling (SOC), characteristic of heavy-hole states in Ge, enables fast and all-electrical qubit control. However, SOC
Externí odkaz:
http://arxiv.org/abs/2310.05902
Autor:
Collard, Liam, Kazemzadeh, Mohammadrahim, Piscopo, Linda, De Vittorio, Massimo, Pisanello, Ferruccio
Artificial intelligence has emerged as promising tool to decode a phase image transmitted through a multimode fiber (MMF) by applying deep learning techniques. By transmitting tens of thousands of images through the MMF, deep neural networks (DNNs) a
Externí odkaz:
http://arxiv.org/abs/2309.15532