Zobrazeno 1 - 10
of 6 632
pro vyhledávání: '"A. Planes"'
Autor:
Mendive-Tapia, Eduardo, Planes, Antoni
We present a mean-field study of caloric effects driven by primary and secondary fields near tricritical points, which are fields thermodynamically conjugated to the main and secondary order parameters, respectively. General features, such as critica
Externí odkaz:
http://arxiv.org/abs/2406.04990
Autor:
P. Lloveras, A. Aznar, M. Barrio, Ph. Negrier, C. Popescu, A. Planes, L. Mañosa, E. Stern-Taulats, A. Avramenko, N. D. Mathur, X. Moya, J.-Ll. Tamarit
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-7 (2019)
There is great interest, in refrigeration technology, in replacing harmful volatile hydrofluorocarbons with solid materials. Here the authors show that commercially available plastic crystal neopentylglycol displays colossal and reversible barocalori
Externí odkaz:
https://doaj.org/article/bb8260922af6428aa929e7305d438d53
Autor:
Izza, Yacine, Huang, Xuanxiang, Morgado, Antonio, Planes, Jordi, Ignatiev, Alexey, Marques-Silva, Joao
The uses of machine learning (ML) have snowballed in recent years. In many cases, ML models are highly complex, and their operation is beyond the understanding of human decision-makers. Nevertheless, some uses of ML models involve high-stakes and saf
Externí odkaz:
http://arxiv.org/abs/2405.08297
Deep learning-based malware detection systems are vulnerable to adversarial EXEmples - carefully-crafted malicious programs that evade detection with minimal perturbation. As such, the community is dedicating effort to develop mechanisms to defend ag
Externí odkaz:
http://arxiv.org/abs/2405.00392
Deep learning-based malware detectors have been shown to be susceptible to adversarial malware examples, i.e. malware examples that have been deliberately manipulated in order to avoid detection. In light of the vulnerability of deep learning detecto
Externí odkaz:
http://arxiv.org/abs/2402.15267
Autor:
Luis V. Valcárcel, Edurne San José-Enériz, Raquel Ordoñez, Iñigo Apaolaza, Danel Olaverri-Mendizabal, Naroa Barrena, Ana Valcárcel, Leire Garate, Jesús San Miguel, Antonio Pineda-Lucena, Xabier Agirre, Felipe Prósper, Francisco J. Planes
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract The development of computational tools for the systematic prediction of metabolic vulnerabilities of cancer cells constitutes a central question in systems biology. Here, we present gmctool, a freely accessible online tool that allows us to
Externí odkaz:
https://doaj.org/article/c4d4832b44504993870e80bfa11472fa
In the practical deployment of machine learning (ML) models, missing data represents a recurring challenge. Missing data is often addressed when training ML models. But missing data also needs to be addressed when deciding predictions and when explai
Externí odkaz:
http://arxiv.org/abs/2306.15803
Publikováno v:
2023 IEEE European Symposium on Security and Privacy Workshops
Malware detectors based on machine learning (ML) have been shown to be susceptible to adversarial malware examples. However, current methods to generate adversarial malware examples still have their limits. They either rely on detailed model informat
Externí odkaz:
http://arxiv.org/abs/2306.09925
Autor:
M. Di Stefano, D. Nerini, I. Alvarez, G. Ardizzone, P. Astruch, G. Basterretxea, A. Blanfuné, D. Bonhomme, A. Calò, I. Catalan, C. Cattano, A. Cheminée, R. Crec'hriou, A. Cuadros, A. Di Franco, C. Diaz-Gil, T. Estaque, R. Faillettaz, F. C. Félix-Hackradt, J. A. Garcia-Charton, P. Guidetti, L. Guilloux, J.-G. Harmelin, M. Harmelin-Vivien, M. Hidalgo, H. Hinz, J.-O. Irisson, G. La Mesa, L. Le Diréach, P. Lenfant, E. Macpherson, S. Matić-Skoko, M. Mercader, M. Milazzo, T. Monfort, J. Moranta, M. Muntoni, M. Murenu, L. Nunez, M. P. Olivar, J. Pastor, Á. Pérez-Ruzafa, S. Planes, N. Raventos, J. Richaume, E. Rouanet, E. Roussel, S. Ruitton, A. Sabatés, T. Thibaut, D. Ventura, L. Vigliola, D. Vrdoljak, V. Rossi
Publikováno v:
Earth System Science Data, Vol 16, Pp 3851-3871 (2024)
Early-life stages play a key role in the dynamics of bipartite life cycle marine fish populations. Difficult to monitor, observations of these stages are often scattered in space and time. While Mediterranean coastlines have often been surveyed, no e
Externí odkaz:
https://doaj.org/article/729921f3bfee419987caed2021980a2b
Autor:
Klara Lünser, Eyüp Kavak, Kübra Gürpinar, Baris Emre, Orhan Atakol, Enric Stern-Taulats, Marcel Porta, Antoni Planes, Pol Lloveras, Josep-Lluís Tamarit, Lluís Mañosa
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-10 (2024)
Abstract Giant barocaloric effects were recently reported for spin-crossover materials. The volume change in these materials suggests that the transition can be influenced by uniaxial stress, and give rise to giant elastocaloric properties. However,
Externí odkaz:
https://doaj.org/article/9f9d92f13235456284a45ab9b4c369d5