Update README.md

citation and BibTeX updated

README.md

@@ -17,7 +17,7 @@ TEM-LLM is a domain-specific multimodal large language model for
 Transmission Electron Microscopy (TEM) image analysis, fine-tuned 
 from LLaVA-v1.5-7B using a difficulty-aware curriculum learning strategy.
 
-This model is associated with the following work (currently under review):
+This model is associated with the following work:
 
 > *AI-Assisted Materials Characterization: A Curriculum-Guided 
 > Multimodal Framework for Transmission Electron Microscopy*
@@ -87,6 +87,18 @@ refer to the [GitHub repository](https://github.com/SemiMIRTLab/TEM-LLM).
 
 ---
 
+## Citation
+
+```bibtex
+@article{citation-0,
+  title={AI-Assisted Materials Characterization: A Curriculum-Guided Multimodal Framework for Transmission Electron Microscopy},
+  author={Tu, Chong-ren and Hsueh, Hung-wei and Chang, Wei-che and Lin, You-ting and Cheng, Yu-hsuan and Chu, Wen-huei and Tseng, Shih-wen and Hsu, Shu-han},
+  journal={ACS Measurement Science Au},
+  publisher={ACS Publications}
+}
+```
+---
+
 ## Limitations
 
 - TEM-LLM is optimized for TEM image analysis and may produce