Azken berriak

Ikusi guztiak

BCAM pertsonak

BCAMek, MATH4SPORTS proiektuaren esparruan, Cyrill Fouquart doktoregoko ikasle eta LOSC Lilleko kidearen bisita jaso du.

  • Proiektu honen helburua da aplikatutako matematikak kirol-industriaren esparrura transferitzea, teknologia bultzatzaile gisa.

Aste honetan, BCAM-ek Cyrill Fouquart

Zentroari buruz

BCAM-ek 'Pint of Science' zientzia dibulgazio jaialdiaren edizio berrian parte hartuko du

  •  'Pint of Science' jaialdiak 24 hitzaldi eskainiko ditu Bilboko lau tabernatan maiatzaren 13tik 15era, sarrera doan dela.
  • Daniela Moreno eta Miguel Camarasa, BCAMeko doktoretza ikasl

Zentroari buruz

BCAM-ek ateak irekiko dizkie Bizkaiko hainbat ikastetxetako ikasleei

  • BCAM-en helburua, bisita hauekin, jakin-mina piztea eta matematikak gure bizitzako alderdi guztietan, naturatik hasi eta teknologiaraino, presente daudela erakustea da.

Hi

Azken argitalpenak

Ikusi guztiak

A macroscopic clock model to solve the paradox of Schrödinger’s cat

Sokolovski, D.; Uranga, A.; Akhmatskaya, E. (2024-12-01)

We propose detecting the moment an atom emits a photon by means of a nearly classical macroscopic clock and discuss its viability. It is shown that what happens in such a measurement depends on the relation between the clock...

A data-mining approach to understanding the impact of multi-doping on the ionic transport mechanism of solid electrolytes materials: the case of dual-doped Ga<inf>0.15</inf>/Sc<inf>y</inf> Li<inf>7</inf>La<inf>3</inf>Zr<inf>2</inf>O<inf>12</inf>

Cortes, H.A.; Rincón, M.; Früchtl, H.; van Mourik, T.; Carrasco, J.; Akhmatskaya, E. (2024-01-19)

This study presents novel computational methods applied to the technologically significant solid electrolyte materials, Li6.55+yGa0.15La3Zr2−yScyO12 (Ga0.15/Scy-LLZO), in order to investigate the effect of the distribution o...

Semi-blind-trace algorithm for self-supervised attenuation of trace-wise coherent noise

Abedi, M.M.; Pardo, D.; Alkhalifah, T. (2024-03-01)

Trace-wise noise is a type of noise often seen in seismic data, which is characterized by vertical coherency and horizontal incoherency. Using self-supervised deep learning to attenuate this type of noise, the conventional b...

An ETD method for multi-asset American option pricing under jump-diffusion model

Company, R.; Egorova, V.; Jódar, L. (2023-01-01)

In this paper, we propose a numerical method for American multi-asset options under jump-diffusion model based on the combination of the exponential time differencing (ETD) technique for the differential operator and Gauss–H...