906 research outputs found
Development and assessment of a fast calibration tool for zero-dimensional combustion models in DI diesel engines
Modified Kedem-Katchalsky equations for osmosis through nano-pore
This work presents a modified Kedem-Katchalsky equations for osmosis through
nano-pore. osmotic reflection coefficient of a solute was found to be chiefly
affected by the entrance of the pore while filtration reflection coefficient
can be affected by both the entrance and the internal structure of the pore.
Using an analytical method, we get the quantitative relationship between
osmotic reflection coefficient and the molecule size. The model is verified by
comparing the theoretical results with the reported experimental data of
aquaporin osmosis. Our work is expected to pave the way for a better
understanding of osmosis in bio-system and to give us new ideas in designing
new membranes with better performance.Comment: 19 pages, 4 figure
Finding and Editing Multi-Modal Neurons in Pre-Trained Transformer
Multi-modal large language models (LLM) have achieved powerful capabilities
for visual semantic understanding in recent years. However, little is known
about how LLMs comprehend visual information and interpret different modalities
of features. In this paper, we propose a new method for identifying multi-modal
neurons in transformer-based multi-modal LLMs. Through a series of experiments,
We highlight three critical properties of multi-modal neurons by four
well-designed quantitative evaluation metrics. Furthermore, we introduce a
knowledge editing method based on the identified multi-modal neurons, for
modifying a specific token to another designative token. We hope our findings
can inspire further explanatory researches on understanding mechanisms of
multi-modal LLMs
- ā¦