Update README.md

README.md

@@ -41,14 +41,14 @@ _IMPORTANT: SDOML and SDOML-lite datasets are different in structure and data di
 
 ## Intended Uses
 
-This dataset is designed for machine learning research involving phenomena influenced by solar physics. Potential applications include:
-
-* Generative modeling of solar phenomena.
-* Spatiotemporal forecasting of solar activity.
-* Data-driven models in climate science and weather forecasting.
-* Developing and testing models for solar flare prediction.
-* Studying the evolution of solar active regions.
-* Image-to-image translation tasks between different solar channels.
+This dataset is designed for machine learning research at the intersection of solar physics, space weather, and climate science. Potential applications include:
+
+* Generative and self-supervised modeling of solar dynamics.
+* Spatiotemporal forecasting of solar flares and coronal mass ejections (CMEs).
+* Real-time space weather nowcasting from full-disk EUV and magnetic imagery.
+* Tracking and modeling the evolution of active regions and magnetic flux.
+* Learning data-driven proxies for solar irradiance for use in climate models.
+* Cross-channel image translation and modality alignment.
 
 ## Dataset Structure