diffusion coefficients) and the specific phase diagram (in particular latent heats and melting temperatures) into the diffuse interface model via the free ... B Nestler - 《Journal of Crystal Growth》 被引量: 53发表: 2005年 Fabrication of true 3D microstructures in glass/ceramic materials by pul...
Physical model In this paper we try to optimize the fin distribution of the LHTES unit to accelerate the heat storage and heat release process of the LHTES unit. Fig. 1(a) is a schematic diagram of the LHTES unit developed in our previous research [1,38]. The device unit has a shel...
FIG. 5 illustrates a flow diagram of method steps for training a generative model, according to various embodiments. FIG. 6 illustrates a flow diagram of method steps for producing generative output, according to various embodiments. FIG. 7 illustrates a game streaming system configured to implement...
aVenn diagram analysis of ChIP-seq peaks of ZMYND8 in non-treated (NT) and LPS-treated BMDMs. LPS-gained, LPS-lost, and constitutively bound ZMYND8 peaks were labeled.bHeatmap analysis of ChIP-seq data obtained from NT and LPS-treated BMDMs. Peak density heatmap showing LPS-gained ZMYND8...
Fig. 3. Causality diagram showing decomposed components for the quasi-1D lumped parameter model with arrows indicating heat and mass transfer links for (dis)charging. The dashed lines and reservoirs indicate the option of a storage with all three stages filled. Model assumptions included: 1. Therm...
The diagram illustrates the architecture for conditioning Latent Diffusion Models (LDMs) using various input modalities. Here's an explanation of the components and their interactions: Key Components and Process Flow: Pixel Space: Input Image x : The original image in pixel space. Encoder \mathcal...
The dynamic nature of αvβ8/L-TGF-β interactions suggest an alternative activation mechanism that does not require release and diffusion of mature TGF-β, which we confirmed through cell-based assays. Our findings present a model and conceptual framework to understand the cell-specific regulation...
Figure 3.Architecture diagram of the stable diffusion network [13]. 2.5. Fine-Tuning Stable Diffusion with LoRA LoRA (low-rank adaptation) appeared first as a fine-tuning technique for large language models [22], which greatly reduced the trainable parameters of said models by adding trainable ...
Figure 3. The overall structure diagram of the weed disease detection method based on a latent diffusion transformer. This figure illustrates the various modules of the model, including the latent-based diffusion subnetwork, latent-based transformer subnetwork, and latent loss function, reflecting the ...
Time-varying weight coefficients determination based on fuzzy soft set in combined prediction model for travel time. Expert Syst. Appl. 2022, 189, 115998. [Google Scholar] [CrossRef] Li, Y.; Yu, R.; Shahabi, C.; Liu, Y. Diffusion convolutional recurrent neural network: Da-ta-driven ...