Zobrazeno 1 - 10
of 4 621
pro vyhledávání: '"BOTTI P."'
There has been an ongoing race for the past couple of years to develop the best universal machine learning interatomic potential. This rapid growth has driven researchers to create increasingly accurate models for predicting energy, forces, and stres
Externí odkaz:
http://arxiv.org/abs/2412.16551
Autor:
Gao, Kun, Cui, Wenwen, Shi, Jingming, Durajski, Artur P., Hao, Jian, Botti, Silvana, Marques, Miguel A. L., Li, Yinwei
Publikováno v:
Physical Review B 109,014501(2024)
Hydrogen-rich superconductors are promising candidates to achieve room-temperature superconductivity. However, the extreme pressures needed to stabilize these structures significantly limit their practical applications. An effective strategy to reduc
Externí odkaz:
http://arxiv.org/abs/2411.19028
The discrepancy between models and data regarding the muon content in air showers generated by ultra-high energy cosmic rays still needs to be solved. The CONEX simulation framework provides a flexible tool to assess the impact of different interacti
Externí odkaz:
http://arxiv.org/abs/2411.06918
Autor:
Bloch, Itay M., Botti, Ana M., Cababie, Mariano, Cancelo, Gustavo, Cervantes-Vergara, Brenda A., Daal, Miguel, Desai, Ansh, Drlica-Wagner, Alex, Essig, Rouven, Estrada, Juan, Etzion, Erez, Moroni, Guillermo Fernandez, Holland, Stephen E., Kehat, Jonathan, Lawson, Ian, Luoma, Steffon, Orly, Aviv, Perez, Santiago E., Rodrigues, Dario, Saffold, Nathan A., Scorza, Silvia, Sofo-Haro, Miguel, Stifter, Kelly, Tiffenberg, Javier, Uemura, Sho, Villalpando, Edgar Marrufo, Volansky, Tomer, Winkel, Federico, Wu, Yikai, Yu, Tien-Tien
We present results from data acquired by the SENSEI experiment at SNOLAB after a major upgrade in May 2023, which includes deploying 16 new sensors and replacing the copper trays that house the CCDs with a new light-tight design. We observe a single-
Externí odkaz:
http://arxiv.org/abs/2410.18716
Autor:
Botti, A. M., Chavez, C., Sofo-Haro, M., Miller, C. S., Chierchie, F., Jonas, M., Lisovenko, M., Gutti, H., Czaplewski, D., Lathrop, A., Tiffenberg, J., Fernandez-Moroni, G., Estrada, J.
The next generation of experiments for rare-event searches based on skipper Charge Coupled Devices (skipper-CCDs) presents new challenges for the sensor packaging and readout. Scaling the active mass and simultaneously reducing the experimental backg
Externí odkaz:
http://arxiv.org/abs/2410.06417
Autor:
Botti, Filippo, Ergasti, Alex, Rossi, Leonardo, Fontanini, Tomaso, Ferrari, Claudio, Bertozzi, Massimo, Prati, Andrea
The goal of style transfer is, given a content image and a style source, generating a new image preserving the content but with the artistic representation of the style source. Most of the state-of-the-art architectures use transformers or diffusion-
Externí odkaz:
http://arxiv.org/abs/2409.10385
This work aims to construct and analyze a discontinuous Galerkin method on polytopal grids (PolydG) to solve the pseudo-stress formulation of the unsteady Stokes problem. The pseudo-stress variable is introduced due to the growing interest in non-New
Externí odkaz:
http://arxiv.org/abs/2408.08760
Autor:
Botti, Michele, Mascotto, Lorenzo
We prove a Ne\v{c}as-Lions inequality with symmetric gradients on two and three dimensional domains of diameter $R$ that are star-shaped with respect to a ball of radius $\rho$; the constants in the inequality are explicit with respect to $R$ and $\r
Externí odkaz:
http://arxiv.org/abs/2408.00371
In this work we study the stability, convergence, and pressure-robustness of discretization methods for incompressible flows with hybrid velocity and pressure. Specifically, focusing on the Stokes problem, we identify a set of assumptions that yield
Externí odkaz:
http://arxiv.org/abs/2404.12732
We present a novel approach to generate a fingerprint for crystalline materials that balances efficiency for machine processing and human interpretability, allowing its application in both machine learning inference and understanding of structure-pro
Externí odkaz:
http://arxiv.org/abs/2406.19761