A new open-access journal, AI for Science, has been launched by IOP Publishing in collaboration with the Songshan Lake Materials Laboratory in China. This innovative journal aims to showcase the significant role of artificial intelligence (AI) in driving scientific advancements. AI for Science, also known as AI4S, will publish original research, reviews, and perspectives that highlight the transformative applications and impact of AI across various scientific disciplines.
The launch of AI4S comes at a time when AI technologies are increasingly integrated into scientific research, ranging from drug discovery to quantum computing and materials science. The field of AI has experienced exponential growth in recent years, outpacing the general scientific output by nearly tenfold.
Gian-Marco Rignanese, the editor-in-chief of AI4S and a researcher at École Polytechnique de Louvain in Belgium, expresses enthusiasm about the potential of AI to revolutionize scientific research. He emphasizes that AI’s ability to process vast amounts of data rapidly and accurately enables researchers to uncover insights and patterns that were previously inaccessible.
Rignanese highlights that AI is enhancing simulations, making them more realistic, and transforming the way researchers interact with existing literature through large language models and neuro-linguistic programming. He believes that generative AI shows great promise in advancing scientific discovery.
The journal AI for Science aims to maintain high standards of research quality while promoting data and software sharing. It recognizes the growing significance of AI in scientific research, as evidenced by the awarding of the chemistry and physics Nobel prizes in 2025 to AI-related contributions.
In China, AI is becoming a key focus area for scientific development, with AI4S being co-led by Weihua Wang from the Songshan Lake Materials Laboratory. Wang envisions AI for Science as a platform for global collaboration and knowledge exchange among scientists, driving innovation and addressing pressing scientific challenges.
The scope of AI4S is broad, covering topics such as AI algorithms for scientific applications, specialized AI software for researchers, the importance of AI-ready datasets, and the development of embodied AI systems across disciplines like materials science, biology, and chemistry.
AI4S sets new standards for author experience, with submissions reviewed by an international editorial board and a 22-member advisory board comprising leading scientists and engineers. The journal ensures a rapid publication process, with accepted articles published within 24 hours and assigned a citable digital object identifier (DOI).
AI4S joins a growing number of journals dedicated to machine learning and AI, reflecting the increasing importance of AI in scientific research. The journal aims to facilitate dialogue, collaboration, and effective utilization of AI technologies to accelerate innovation and improve outcomes across various scientific fields.
For researchers in the field of AI for science, AI for Science provides a dedicated platform to share their latest work and contribute to the ongoing revolution in scientific discovery. The journal’s commitment to fostering global collaboration and knowledge exchange underscores the transformative potential of AI in shaping the future of scientific research.
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