Researchers Han, Tang, and Lu introduced TMolNet, a novel task-aware multimodal neural network designed to enhance molecular property prediction. TMolNet integrates various molecular data modalities, addressing challenges in precisely forecasting chemical and biological properties of molecules. Such computational advances are pivotal for accelerating drug discovery and material science by improving the accuracy and efficiency of predictive modeling workflows.