Zobrazeno 1 - 10
of 10 039
pro vyhledávání: '"Aleksandrov, A P"'
We derive semiclassical Boltzmann equations describing thermalization of an ensemble of excitons due to exciton-phonon interactions taking into account the fact that excitons are not ideal bosons but composite particles consisting of electrons and ho
Externí odkaz:
http://arxiv.org/abs/2411.18619
Autor:
Aleksandrov, I. A., Rosanov, N. N.
We examine the phenomenon of electron-positron pair production from vacuum in a combination of two counterpropagating electromagnetic pulses having a duration of the order of the Compton time. We show that in this extreme short-time domain, the momen
Externí odkaz:
http://arxiv.org/abs/2411.11565
Autor:
Aleksandrov, Aleksei, Peller, Vladimir
We study the behaviour of functions of self-adjoint operators under relatively bounded and relatively trace class perturbation We introduce and study the class of relatively operator Lipschitz functions. An essential role is played by double operator
Externí odkaz:
http://arxiv.org/abs/2411.01901
In this paper we compare various classes of Schur multipliers: classical matrix Schur multipliers, discrete Schur multipliers, Schur multipliers with respect to measures and Schur multipliers with respect to spectral measures. The main result says th
Externí odkaz:
http://arxiv.org/abs/2410.22523
Simultaneous Localization and Mapping (SLAM) is a key component of autonomous systems operating in environments that require a consistent map for reliable localization. SLAM has been a widely studied topic for decades with most of the solutions being
Externí odkaz:
http://arxiv.org/abs/2410.17171
We investigate the nonperturbative process of vacuum pair production in a combination of two counterpropagating linearly polarized laser pulses of a finite spatial extent. By means of the locally-constant field approximation (LCFA), we calculate the
Externí odkaz:
http://arxiv.org/abs/2408.04084
Autor:
Marino, Bill, Chaudhary, Yaqub, Pi, Yulu, Yew, Rui-Jie, Aleksandrov, Preslav, Rahman, Carwyn, Shen, William F., Robinson, Isaac, Lane, Nicholas D.
As the AI supply chain grows more complex, AI systems and models are increasingly likely to incorporate multiple internally- or externally-sourced components such as datasets and (pre-trained) models. In such cases, determining whether or not the agg
Externí odkaz:
http://arxiv.org/abs/2406.14758
Magnetic field is a powerful tool for the manipulation of material's electronic and optical properties. In the domain of transition metal dichalcogenide monolayers, it allows one to unveil the spin, valley, and orbital properties of many-body exciton
Externí odkaz:
http://arxiv.org/abs/2406.04726
Autor:
Iacob, Alex, Sani, Lorenzo, Marino, Bill, Aleksandrov, Preslav, Shen, William F., Lane, Nicholas Donald
The reliance of language model training on massive amounts of computation and vast datasets scraped from potentially low-quality, copyrighted, or sensitive data has come into question practically, legally, and ethically. Federated learning provides a
Externí odkaz:
http://arxiv.org/abs/2405.14446
Autor:
Sani, Lorenzo, Iacob, Alex, Cao, Zeyu, Marino, Bill, Gao, Yan, Paulik, Tomas, Zhao, Wanru, Shen, William F., Aleksandrov, Preslav, Qiu, Xinchi, Lane, Nicholas D.
Generative pre-trained large language models (LLMs) have demonstrated impressive performance over a wide range of tasks, thanks to the unprecedented amount of data they have been trained on. As established scaling laws indicate, LLMs' future performa
Externí odkaz:
http://arxiv.org/abs/2405.10853