Zobrazeno 1 - 10
of 1 097
pro vyhledávání: '"ZHANG Yanbing"'
The plasma edge flow, situated at the intricate boundary between plasma and neutral particles, plays a pivotal role in the design of nuclear fusion devices such as divertors and pumps. Traditional numerical simulation methods, such as the direct simu
Externí odkaz:
http://arxiv.org/abs/2411.08575
Simulating gas flow within the divertor, which is a crucial component in nuclear fusion reactors, is essential for assessing and enhancing its design and performance. Traditional methods, such as the direct simulation Monte Carlo and the discrete vel
Externí odkaz:
http://arxiv.org/abs/2409.05895
Multiscale rarefied gas flows with moving boundaries pose significant challenges to the numerical simulation, where the primary difficulties involve robustly managing the mesh movement and ensuring computational efficiency across all flow regimes. Bu
Externí odkaz:
http://arxiv.org/abs/2408.09316
Recent thrilling progress in large-scale text-to-image (T2I) models has unlocked unprecedented synthesis quality of AI-generated content (AIGC) including image generation, 3D and video composition. Further, personalized techniques enable appealing cu
Externí odkaz:
http://arxiv.org/abs/2403.18551
The recently-developed general synthetic iterative scheme (GSIS) is efficient in simulating multiscale rarefied gas flows due to the coupling of mesoscopic kinetic equation and macroscopic synthetic equation: for linearized Poiseuille flow where the
Externí odkaz:
http://arxiv.org/abs/2311.02605
Recently, the general synthetic iterative scheme (GSIS) has been proposed to find the steady-state solution of the Boltzmann equation in the whole range of gas rarefaction, where its fast-converging and asymptotic-preserving properties lead to the si
Externí odkaz:
http://arxiv.org/abs/2310.18916
Training GANs under limited data often leads to discriminator overfitting and memorization issues, causing divergent training. Existing approaches mitigate the overfitting by employing data augmentations, model regularization, or attention mechanisms
Externí odkaz:
http://arxiv.org/abs/2210.05461
Publikováno v:
In Aquaculture 15 November 2024 592
Publikováno v:
In International Journal of Biological Macromolecules November 2024 280 Part 3
Publikováno v:
In Polymer 9 October 2024 311