Zobrazeno 1 - 10
of 17 617
pro vyhledávání: '"P. Nicolai"'
Autor:
M. R. D. Rodrigues, A. Bonasera, M. Scisciò, J. A. Pérez-Hernández, M. Ehret, F. Filippi, P. L. Andreoli, M. Huault, H. Larreur, D. Singappuli, D. Molloy, D. Raffestin, M. Alonzo, G. G. Rapisarda, D. Lattuada, G. L. Guardo, C. Verona, Fe. Consoli, G. Petringa, A. McNamee, M. La Cognata, S. Palmerini, T. Carriere, M. Cipriani, G. Di Giorgio, G. Cristofari, R. De Angelis, G. A. P. Cirrone, D. Margarone, L. Giuffrida, D. Batani, P. Nicolai, K. Batani, R. Lera, L. Volpe, D. Giulietti, S. Agarwal, M. Krupka, S. Singh, Fa. Consoli
Publikováno v:
Matter and Radiation at Extremes, Vol 9, Iss 3, Pp 037203-037203-14 (2024)
The discovery of chirped pulse amplification has led to great improvements in laser technology, enabling energetic laser beams to be compressed to pulse durations of tens of femtoseconds and focused to a few micrometers. Protons with energies of tens
Externí odkaz:
https://doaj.org/article/bca5939d63b14b0395df0e868c8a51b4
Autor:
Scisciò, M., Petringa, G., Zhu, Z., Rodrigues, M. R. D., Alonzo, M., Andreoli, P. L., Filippi, F., Consoli, Fe., Huault, M., Raffestin, D., Molloy, D., Larreur, H., Singappuli, D., Carriere, T., Verona, C., Nicolai, P., McNamee, A., Ehret, M., Filippov, E., Lera, R., Pérez-Hernández, J. A., Agarwal, S., Krupka, M., Singh, S., Istokskaia, V., Lattuada, D., La Cognata, M., Guardo, G. L., Palmerini, S., Rapisarda, G., Batani, K., Cipriani, M., Cristofari, G., Di Ferdinando, E., Di Giorgio, G., De Angelis, R., Giulietti, D., Xu, J., Volpe, L., Rodríguez-Frías, M. D., Giuffrida, L., Margarone, D., Batani, D., Cirrone, G. A. P., Bonasera, A., Consoli, Fa.
Driving the nuclear fusion reaction p+11B -> 3 alpha + 8.7 MeV in laboratory conditions, by interaction between high-power laser pulses and matter, has become a popular field of research, due to numerous applications that it can potentially allow: an
Externí odkaz:
http://arxiv.org/abs/2411.04577
The Langevin dynamics is a diffusion process extensively used, in particular in molecular dynamics simu-lations, to sample Gibbs measures. Some alternatives based on (piecewise deterministic) kinetic velocity jumpprocesses have gained interest over t
Externí odkaz:
http://arxiv.org/abs/2410.08846
In this paper we study the question of how to reconstruct the state of a power system using Phasor Measurement Units (PMUs). In our previous research we proved that this question has an affirmative answer imposing some rather strict structural assump
Externí odkaz:
http://arxiv.org/abs/2410.04854
This is mainly a survey on the properties of Strong Metric Regularity (SMR) and Strong Metric subRegularity (SMsR) of mappings representing first order optimality conditions (so-called optimality mappings) of optimization problems in infinite dimensi
Externí odkaz:
http://arxiv.org/abs/2409.19452
Trajectories can be regarded as time-series of coordinates, typically arising from motile objects. Methods for trajectory classification are particularly important to detect different movement patterns, while methods for regression to compute motilit
Externí odkaz:
http://arxiv.org/abs/2409.18832
Autor:
Nicolai, Hermann
This contribution gives a panoramic overview of the development of N=8 supergravity and its relation to other maximally supersymmetric theories over the past 40 years. It also provides a personal perspective on the future role of this theory in attem
Externí odkaz:
http://arxiv.org/abs/2409.18656
Autor:
Gyöngy, István, Krylov, Nicolai V.
Existence, uniqueness and stability of the solutions of linear stochastic evolution equations are investigated. The results obtained are used to prove theorems on solvability of linear second order stochastic partial differential equations in $L_{p}$
Externí odkaz:
http://arxiv.org/abs/2409.18242
Autor:
Numan, Nels, Rajaram, Shwetha, Kumaravel, Balasaravanan Thoravi, Marquardt, Nicolai, Wilson, Andrew D.
There is increased interest in using generative AI to create 3D spaces for Virtual Reality (VR) applications. However, today's models produce artificial environments, falling short of supporting collaborative tasks that benefit from incorporating the
Externí odkaz:
http://arxiv.org/abs/2409.13926
Autor:
Dorka, Nicolai
Reinforcement learning from human feedback (RLHF) has become a key method for aligning large language models (LLMs) with human preferences through the use of reward models. However, traditional reward models typically generate point estimates, which
Externí odkaz:
http://arxiv.org/abs/2409.10164