Zobrazeno 1 - 10
of 6 066
pro vyhledávání: '"Birger, P."'
To further improve Lithium-ion batteries (LiBs), a profound understanding of complex battery processes is crucial. Physical models offer understanding but are difficult to validate and parameterize. Therefore, automated machine-learning methods (ML)
Externí odkaz:
http://arxiv.org/abs/2410.19478
Understanding the mechanical interplay between silicon anodes and their surrounding solid-electrolyte interphase (SEI) is essential to improve the next generation of lithium-ion batteries. We model and simulate a 2D elliptical silicon nanowire with S
Externí odkaz:
http://arxiv.org/abs/2409.07991
Modelling electrolytes accurately on both a nanoscale and cell level can contribute to improving battery chemistries.[Armand and Tarascon, Nature, 2008, 451, 652-657] We previously presented a thermodynamic continuum model for electrolytes.[arXiv:201
Externí odkaz:
http://arxiv.org/abs/2408.04314
Silicon presents itself as a high-capacity anode material for lithium-ion batteries with a promising future. The high ability for lithiation comes along with massive volume changes and a problematic voltage hysteresis, causing reduced efficiency, det
Externí odkaz:
http://arxiv.org/abs/2408.01106
Audiological datasets contain valuable knowledge about hearing loss in patients, which can be uncovered using data-driven, federated learning techniques. Our previous approach summarized patient information from one audiological dataset into distinct
Externí odkaz:
http://arxiv.org/abs/2407.20765
Autor:
Moell, Birger
In the rapidly evolving field of artificial intelligence, large language models (LLMs) have demonstrated significant capabilities across numerous applications. However, the performance of these models in languages with fewer resources, such as Swedis
Externí odkaz:
http://arxiv.org/abs/2405.14006
The performance of Automatic Speech Recognition (ASR) systems has constantly increased in state-of-the-art development. However, performance tends to decrease considerably in more challenging conditions (e.g., background noise, multiple speaker socia
Externí odkaz:
http://arxiv.org/abs/2405.13379
Autor:
Moell, Birger
Background: Rapid advancements in natural language processing have led to the development of large language models with the potential to revolutionize mental health care. These models have shown promise in assisting clinicians and providing support t
Externí odkaz:
http://arxiv.org/abs/2405.09300
Autor:
Mehta, Shivam, Deichler, Anna, O'Regan, Jim, Moëll, Birger, Beskow, Jonas, Henter, Gustav Eje, Alexanderson, Simon
Although humans engaged in face-to-face conversation simultaneously communicate both verbally and non-verbally, methods for joint and unified synthesis of speech audio and co-speech 3D gesture motion from text are a new and emerging field. These tech
Externí odkaz:
http://arxiv.org/abs/2404.19622
Publikováno v:
Phys. Rev. Research 6 (2024) 033257
For the solution of time-dependent nonlinear differential equations, we present variational quantum algorithms (VQAs) that encode both space and time in qubit registers. The spacetime encoding enables us to obtain the entire time evolution from a sin
Externí odkaz:
http://arxiv.org/abs/2403.16791