Tag:
Materials Science
AI
LLM-Prop: Leveraging Large Language Models to Predict Crystalline Material Properties
The LLM-Prop framework utilizes a fine-tuned T5 model encoder to predict the physical and electronic properties of crystal materials based on text descriptions of...
AI
Revitalizing Urban Spaces: A Stable Diffusion Model Framework for Automated Historical Facade Preservation
The study details the training of six LoRA models designed to generate arcade facade images using a dataset and the v1-5-pruned.safetensors base model, optimized...