Zobrazeno 1 - 10
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pro vyhledávání: '"Daniel, F"'
Autor:
Young, Simon NM
Publikováno v:
China Review, 2024 Aug 01. 24(3), 305-308.
Externí odkaz:
https://www.jstor.org/stable/48788937
Autor:
Young, Simon NM
Publikováno v:
China Review; September 2024, Vol. 24 Issue: 3 p305-308, 4p
Autor:
Byrd, Steven Eric
Publikováno v:
Hispania, 2022 Dec 01. 105(4), 615-616.
Externí odkaz:
https://www.jstor.org/stable/27264917
Autor:
Battaglia, Andrea Francesco, Krucker, Säm, Veronig, Astrid M., Stiefel, Muriel Zoë, Warmuth, Alexander, Benz, Arnold O., Ryan, Daniel F., Collier, Hannah, Harra, Louise
In general, large solar flares are more efficient at accelerating high-energy electrons than microflares. Nonetheless, we sometimes observe microflares that accelerate electrons to high energies. We statistically characterize 39 microflares with stri
Externí odkaz:
http://arxiv.org/abs/2409.14466
Mixture-of-experts (MoEs) have been adopted for reducing inference costs by sparsely activating experts in Large language models (LLMs). Despite this reduction, the massive number of experts in MoEs still makes them expensive to serve. In this paper,
Externí odkaz:
http://arxiv.org/abs/2409.06211
Autor:
Zhou, Yuxing, Elliott, Stephen R., Toit, Daniel F. Thomas du, Zhang, Wei, Deringer, Volker L.
Chiral crystals, like chiral molecules, cannot be superimposed onto their mirror images -- a fundamental property that has been linked to interesting physical behavior and exploited in functional devices. Among the simplest inorganic systems with cry
Externí odkaz:
http://arxiv.org/abs/2409.03860
We report a systematic comparison of niobium nitride thin films deposited on oxidized silicon substrates by reactive DC magnetron sputtering and reactive high-power impulse magnetron sputtering (HiPIMS). After determining the nitrogen gas concentrati
Externí odkaz:
http://arxiv.org/abs/2408.17256
Machine-learning-based interatomic potentials enable accurate materials simulations on extended time- and lengthscales. ML potentials based on the Atomic Cluster Expansion (ACE) framework have recently shown promising performance for this purpose. He
Externí odkaz:
http://arxiv.org/abs/2408.00656
Autor:
Bennett, Bradley C.
Publikováno v:
Economic Botany, 2015 Jun . 69(2), 185-198.
Externí odkaz:
http://www.jstor.org/stable/24825906