New open-access journal AI for Science aims to revolutionize scientific discovery

Are you in the field of AI for science? Now, you have a new place to share your latest work to the world. IOP Publishing has partnered with the Songshan Lake Materials Laboratory in China to launch a new “diamond” open-access journal to showcase how artificial intelligence (AI) is driving scientific innovation. AI for Science (AI4S) will publish high-impact original research, reviews, and perspectives to highlight the transformative applications and impact of AI.
The launch of the interdisciplinary journal AI4S comes as AI technologies become increasingly integral to scientific research — from drug discovery to quantum computing and materials science.
AI is one of the most dynamic and rapidly expanding areas of research so much so that in the last five years the topic has expanded by nearly ten times the rate of general scientific output.
Gian-Marco Rignanese from École Polytechnique de Louvain (EPL) in Belgium, who is the editor-in-chief of Al4S, says he is “very excited” by AI’s transformative potential for science. “It is really disrupting the way research is being performed. AI excels at processing and analyzing large volumes of data quickly and accurately,” he says. “This capability enables researchers to gain insights – or identify patterns – that were previously difficult or impossible to obtain.”
Rignanese adds that AI is also accelerating simulations making them “closer to the real world” and large language models and neuro-linguistic programming are changing our way to apprehend the existing literature. “Generative AI holds a lot of promises,” he says.
Rignanese, whose research focuses on investigating and designing advanced materials for electronics, energy storage and energy production in which he uses first-principles simulations and machine learning, says that AI4S “not only targets high standards in terms of quality of the published research” but that it also recognizes the importance of sharing data and software.
The journal recognizes the rapid and multifaceted growth of AI. Notably, in 2025 both the chemistry and physics Nobel prizes went to the science of AI. Research funding is also increasing, with both the US Department of Energy (DOE) and National Science Foundation (NSF) allocating more resources to this field in 2025 than ever before.
In China, AI is emerging as a major priority in which the science community is poised to become a driving force in global development. Reflecting this, AI4S is co-led by editor-in-chief Weihua Wang from the Songshan Lake Materials Laboratory. Songshan Lake Materials Laboratory is a new and leading institute for advanced materials research and innovation that is preparing to focus intensively on AI in the near future.
“Our primary goal with AI for Science is to provide a global forum where scientists can share their cutting-edge research, innovative methodologies, and transformative perspectives,” says Wang “The field of AI in scientific research is not only expanding but also evolving at an unprecedented pace, making it vital for professionals to connect and collaborate.”
Wang expressed his optimistic vision for the future of AI in scientific research. “We want AI for Science to be instrumental in creating a more connected and collaborative global community of researchers,” he adds. “Together, we can harness the transformative power of AI to address some of the world’s most pressing scientific challenges and make the field even more impactful.”
Wang notes that the inspiration behind the journal is the potential impact of AI on scientific discovery. “We believe that AI has the power to revolutionize the way research is conducted,” he says. “By providing a space for open dialogue and collaboration, we hope to enable scientists to leverage AI technologies more effectively, ultimately accelerating innovation and improving outcomes across various fields.”
The scope of AI4S is broad yet focused, catering to a wide array of interests within the scientific community. Wang explains that the journal covers various topics. These include: AI algorithms adapted for scientific applications; AI software and toolkits designed specifically for researchers; the importance of AI-ready datasets; and the development of embodied AI systems. These topics aim to bridge the gap between AI technology and its applications across disciplines like materials science, biology, and chemistry.
AI4S is also setting new standards for author experience. Submissions are reviewed by an international editorial board together with the support of a 22-member advisory board composed of leading scientists and engineers. The journal also promises a rapid turnaround in which once accepted, articles are published within 24 hours and assigned a citable digital object identifier (DOI). In addition, from 2025 to 2027, all article publication charges are fully waived, paid for by the Songshan Lake Materials Laboratory.
AI4S joins a growing number of journals focused on machine learning and AI. This includes the IOP’s Machine Learning Series: Machine Learning: Science and Technology; Machine Learning: Engineering; Machine Learning: Earth; and Machine Learning: Health.
“AI is a new approach to science which is really exciting and holds a lot of promises,” adds Rignanese, “so I am convinced that there is room for a journal accompanying this new paradigm.”
For more information or to submit your manuscript, click here.
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