NLI4VolVis integrates multi-agent large language models, editable 3D Gaussian splatting, and CLIP-based querying so users can explore, query, and edit volume visualizations through natural language.
On a novel approach for modeling liquid crystalline flows
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abstract
In this paper, we derive a new model for the description of liquid crystalline flows. While microscopic Doi type models suffer from the high dimensionality of the underlying product space, the more macroscopic Ericksen--Leslie type models describe only the long time behavior of the flow and are valid only close to equilibrium. By applying an energetic variational approach, we derive a new macroscopic model which shall provide an improved description far from equilibrium. The novelty of our approach lies in the way the energy is minimized. Distinguishing between the velocities of particles and fluid allows us to define the energy dissipation not in terms of chemical potentials but in terms of friction induced by the discrepancies in the considered velocities. We conclude this publication by establishing the existence of weak solutions to the newly derived model.
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cs.HC 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
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NLI4VolVis: Natural Language Interaction for Volume Visualization via LLM Multi-Agents and Editable 3D Gaussian Splatting
NLI4VolVis integrates multi-agent large language models, editable 3D Gaussian splatting, and CLIP-based querying so users can explore, query, and edit volume visualizations through natural language.