Computational drug discovery and design embodies the integration of advanced computational methods, machine learning, and cheminformatics to streamline the identification and optimisation of ...

Computational thinking is increasingly recognised as a fundamental approach to problem solving that transcends traditional disciplinary boundaries. It involves organising complex challenges into ...

Data-driven approaches offer exceptional computational speed but suffer from limited interpretability and poor generalization outside training data. PINNs improve physical consistency by embedding ...

The public health policy landscape is shaped by the dynamic interrelationship between legal, institutional, and regulatory frameworks, all of which play a ...

Annemarie Ianos is a senior at Baruch College majoring in biomedical sciences and pursuing research in computational chemistry with Assistant Professor Baofu Qiao. Recently, she presented her research ...

Artificial intelligence (AI) is increasingly transforming computational mechanics, yet many AI-driven models remain limited by poor interpretability, weak generalization, and insufficient physical ...