Science and AI is a peer-reviewed, interdisciplinary journal dedicated to advancing the application of artificial intelligence (ai) in scientific research. It publishes original research that demonstrates how ai methodologies—such as machine learning, deep learning, and computational modeling—can address complex challenges across diverse fields, including biology, chemistry, physics, environmental science, and materials science. This journal aims to accelerate scientific discovery by showcasing innovative AI-driven approaches that enhance research efficiency and foster collaboration between AI experts and domain scientists. It prioritizes both cutting-edge advancements in AI techniques and their real-world applications, with a strong emphasis on reproducibility, data sharing, and algorithm transparency. Topics of Interest: AI in Biological Sciences AI in Chemistry and Materials Science AI in Physics AI in Environmental Science AI in Healthcare and Medicine AI for Scientific Data Analysis and Simulation Ethical, Societal, and Policy Implications of AI in Science.