Digital Discovery Blog

Welcome to the first Digital Discovery newsletter of 2026! We’re pleased to share a recap of the most important developments in 2025, and highlight some upcoming events the journal is supporting. We wish all of our readers, authors, reviewers and editors a successful new year in 2026. Get future updates directly to your inbox with our email alerts. Sign up here.

Latest News

We’re delighted to welcome Dr Indra Priyadarsini to the Editorial Board of the journal as an Associate Editor. Dr Priyadarsini is a Research Scientist at IBM Research – Tokyo, where she focuses on developing models and algorithms for foundation models in materials discovery. She earned her B.E. in Electronics and Communication Engineering from PES Institute of Technology, Bangalore, India, in 2016, followed by an M.E. and Ph.D. from Shizuoka University, Japan, in 2019 and 2022, respectively. Her doctoral research centered on optimization algorithms and deep learning. She is currently actively involved in advanced research related to AI for Math and Science, multimodal foundation models, and their application to accelerated scientific discovery. She has contributed to open-source frameworks in AI for science and has been recognized with the IPSJ Industrial Achievement Award (2024) for her impactful work in AI-based materials research.

We are very excited to announce that the 2026 #RSCPoster Conference will be taking place for 24 hours starting 3rd March 2026, 12:00 UTC.

The #RSCPoster conference is an annual event that has become a staple on many scientific community calendars. Held entirely online on LinkedIn over 24 hours, the unique format removes the environmental and financial costs of attending a traditional conference, and helps scientific researchers share their work and network across disciplines, wherever they are in the world. Find out more and join in: https://rsc.li/poster

2025 in Review

Digital Discovery introduced a new article type, Commit, for incremental improvements to articles previously published in the journal. This could include improved hardware designs, new features in software, or expanded datasets. Find out more in our Editorial at DOI: 10.1039/D4DD90053G, read the first Commit in DOI: 10.1039/D5DD00089K, and contact the Editorial Office at digitaldiscovery-rsc@rsc.org with your questions or comments.

Jan Weinreich and Daniel Probst received the Digital Discovery Outstanding Early Career Researcher Award 2025 for their paper “Learning on compressed molecular representations”. Their work uses string compression to predict molecular properties, with performance competitive to state-of-the-art graph neural networks. Find out more about the winners and their work in our blog post.

We were pleased to welcome three new Associate Editors to the journal’s Editorial Board, Prof. Milad Abolhasani of North Carolina State University, United States; Prof. Xin Hong of Zhejiang University, China; and Dr Melodie Christiansen from Merck & Co., Inc., United States. We also bid farewell to Editorial Board member Dr Linda Hung of the Toyota Research Institute, United States. Her insights and support of the journal from the outset were essential to its present success, and we wish her well in her future endeavours.

Our editors were pleased to meet the community at events such as AI4AM, Pacifichem, and WATOC. We were pleased to support the Accelerate Conference, and invite the participants to contribute to a themed collection of articles in the journal. We look forward to sharing news on the launch of a further themed collection on large language models, and the line-up of accepted papers from our collection on quantum computing, in the coming months.

Upcoming events

Digital Discovery Associate Editor Prof. Joshua Schrier will be attending Chemical Compound Space Conference 2026 and presenting awards from Digital Discovery and PCCP for the best posters.

Digital Discovery will feature contributions from the second international symposium on High-Throughput Catalysis Design, in a joint collection with Reaction Chemistry & Engineering and Catalysis Science & Technology. We look forward to working with the participants in due course.

Follow our channels below to keep up to date on the events we’re supporting in 2026.

Submit your work to Digital Discovery

Find out more about Digital Discovery on our webpage, where you can also find our author guidelines. Digital Discovery has received a 2024 Impact Factor of 5.6, has an article acceptance rate of 67%, and provides a first decision on articles sent to peer review in an average of 45 days.

Publishing open access with RSC journals unlocks the full potential of your research – bringing increased visibility, wider readership and higher citation potential to your work. As a not-for-profit organisation serving the chemical sciences community, we ensure that our article processing charge (APC) remains the most competitive of major publishers. More details can be found here and the APC for Digital Discovery is £2200. You can also use our journal finder tool to check if your institution currently has an agreement with the RSC that may entitle you to a discount of the APC.

Stay Connected

Postdoc or early career researcher? Interested in building your peer review experience and helping improve open data at Digital Discovery? Consider becoming a data reviewer. Find out more on our blog post.

Follow us on LinkedIn and Bluesky for new articles and the latest news from Digital Discovery and related journals at the Royal Society of Chemistry.

We are pleased to welcome Professor Jun Jiang to the Advisory Board of Digital Discovery

Professor Jiang is a Professor in the School of Chemistry and Materials Science at the University of Science and Technology of China (USTC) in Hefei, China. His research lies at the intersection of intelligent chemistry, data-driven scientific discovery, and automated robotic platforms for precision science.

By integrating artificial intelligence, robotics, and high-throughput experimentation, Professor Jiang has made significant contributions to advancing materials and chemical research. He is the developer of the “Robotic AI-Chemist”, a system that autonomously designs, executes, and iterates experiments in China. The latest iteration, Robotic AI-Chemist 2.0, leverages cloud-connected infrastructure and large-language-model-driven agents to support scalable, reproducible, and collaborative scientific exploration.

On joining the Advisory Board, Professor Jiang said:

“Being part of Digital Discovery aligns with my vision of accelerating science through openness and innovation. I look forward to supporting the journal’s mission to disseminate transformative research that bridges computation, experimentation, and real-world impact.”

We are delighted to welcome Professor Jiang and look forward to his insights and contributions in supporting the mission and future direction of Digital Discovery.

As we enter the last quarter of 2025, we are excited to share our latest updates from Digital Discovery with the community.

Get future updates directly to your inbox with our email alerts. Sign up here.

Latest News

Digital Discovery has introduced a new article type, Commit, for incremental improvements to articles previously published in the journal. This could include improved hardware designs, new features in software, or expanded datasets. Find out more in our Editorial at DOI: 10.1039/D4DD90053G, read the first Commit in DOI: 10.1039/D5DD00089K, and contact the Editorial Office at digitaldiscovery-rsc@rsc.org with your questions or comments.

Jan Weinreich and Daniel Probst have received the Digital Discovery Outstanding Early Career Researcher Award 2025 for their paper “Learning on compressed molecular representations”. Their work uses string compression to predict molecular properties, with performance competitive to state-of-the-art graph neural networks. Our congratulations to the winners! Find out more about the winners and their work in our blog post.

Research Spotlight

We were delighted to feature a manuscript by Omar M. Yaghi et al. on the journal’s cover on the same day that Professor Yaghi received a Nobel Prize for his work on metal-organic frameworks. Read our October front cover article here: “Comparison of LLMs in extracting synthesis conditions and generating Q&A datasets for metal–organic frameworks”.

Data-driven accelerated science depends on well-organised, accessible datasets. In “A FAIR research data infrastructure for high-throughput digital chemistry”, Cousty et al. discuss the research data infrastructure of SwissCat+, which transforms experimental metadata in to RDF graphs using an ontology-driven semantic model.

We’re pleased to share the first article from our collaboration with the AI in Drug Discovery workshop at ICANN 2025: “MARCUS: molecular annotation and recognition for curating unravelled structures”.  This web-based tool from Steinbeck et al. provides a human-in-the-loop approach to extracting and curating data from the natural product literature. Access MARCUS at https://marcus.decimer.ai/.

Digital Discovery in the Community

We were proud to offer our support to a number of events and awards in the busy 2025 conference season. Our congratulations to all of the winners!

We were pleased to again sponsor a prize for the best talk at the Machine Learning and AI in Bio(Chemical) Engineering Conference, won by Calvin Yu (University of Bristol, UK). Our colleagues at Molecular Systems Design & Engineering also sponsored the award for best poster, won by ZhengJie Liew (University of Cambridge, UK).

Our partnership with the Accelerate Conference continues, with prizes for best posters to Florian Boser (Universität Münster, Germany), Xu Chen (University of Toronto, Canada) and Joy-Lynn Kobti (University of Windsor, Canada). We look forward to inviting all of the presenters at the meeting to contribute to a themed collection in the journal in the near future.

Finally, our new Deputy Editor Alexander Whiteside presented the People’s Prize sponsored by Digital Discovery at the 8th Artificial Intelligence in Chemistry Symposium, and was pleased to meet the winner, Sara Tanovic (University of Oxford, UK).

Editorial Board

The journal held its annual Editorial Board meeting online in October, shaping its strategy for 2026 and discussing our successes and challenges throughout the preceding year. We were pleased to welcome three new Associate Editors to the Board:

Prof. Milad Abolhasani of North Carolina State University, United States provides his expertise on self-driving labs. Prof. Abolhasani is the ALCOA Professor, a University Faculty Scholar, and the Director of the Graduate Program in the Department of Chemical and Biomolecular Engineering at North Carolina State University. He also serves as the Director of Accelerated Technologies within NC State’s Integrative Sciences Initiative.

Prof. Xin Hong of Zhejiang University, China contributes knowledge on the intersection of synthetic chemistry and data science. Prof. Hong is a tenured Associate Professor in the Department of Chemistry at Zhejiang University, and research focuses on understanding reaction mechanisms and structure–performance relationships in molecular synthesis, with a particular interest in integrating mechanistic insight with data-driven modelling.

Dr Melodie Christiansen from Merck & Co., Inc., United States, offers insights bridging chemistry, automation, and data science. Prof. Christiansen serves as Director of Data-Rich Experimentation in Process Research & Development Enabling Technologies at Merck & Co., Inc., leading the development and deployment of AI-driven automation technologies that accelerate pharmaceutical process research.

We also bid farewell to Editorial Board member Dr Linda Hung of the Toyota Research Institute, United States, whose term as an Associate Editor ends this year. Her insights and support of the journal from the outset were essential to its present success, and we wish her well in her future endeavours.

Collections

In addition to our upcoming themed collection with the Accelerate Conference 2025, Digital Discovery will feature contributions from the second international symposium on High-Throughput Catalysis Design, in a joint collection with Reaction Chemistry & Engineering and Catalysis Science and Technology. We look forward to working with the participants in due course. Follow the journal on social media or watch out for our next newsletter for information on our planned call for papers on Large Language Models, and the publication of our collection on Quantum Computing.

Upcoming Events

Executive Editor Anna Rulka will be representing Digital Discovery at this year’s Pacifichem symposium in Honolulu, Hawaii, on 15-20 December 2025. This year’s meeting features sessions organised by our Editor-in-Chief Alán Aspuru-Guzik and Associate Editor Yousung Jung. We look forward to meeting you there!

Stay Connected

Postdoc or early career researcher? Interested in building your peer review experience and helping improve open data at Digital Discovery? Consider becoming a data reviewer. Find out more on our blog post.

Follow us on LinkedIn and Bluesky for new articles and the latest news from Digital Discovery and related journals at the Royal Society of Chemistry.

We are thrilled to announce the winners of the Outstanding Early Career Researcher Award 20245: Daniel Probst and Jan Weinreich, recognized for their innovative paper published in Digital Discovery, “Learning on compressed molecular representations“

In their work, Daniel and Jan present MolZip, a simple yet powerful method that leverages string compression to predict molecular properties. By compressing concatenated SMILES and protein sequences, MolZip competes impressively with more complex graph-based methods outperforming 9 out of 10 state-of-the-art graph neural networks in predicting protein-ligand binding affinities.

Their approach is a compelling reminder that elegant, data-efficient solutions can still hold their ground even in the era of sophisticated machine learning models.

About the winners:
Daniel Probst received his PhD in Chemistry and Molecular Sciences from the University of Bern. After research roles at IBM and EPFL, he is now a tenure-track assistant professor at Wageningen University, focusing on sustainable machine learning applications in biology and chemistry.

Jan Weinreich specializes in machine learning for chemistry and materials science. He develops scalable algorithms for molecular property prediction and is co-founder of Chembricks AI, a company building AI platforms for materials discovery.

“Winning this prize is really cool and was a great surprise, especially for an article in one of my favourite journals. Of course, it is, as it is always the case, the contributions of scientific collectives rather than single groups or individuals that make a paper happen.”

– Daniel Probst

“We are truly honoured to receive the Outstanding Early Career Researcher Award from Digital Discovery. This recognition means a great deal to us. We hope that our work on compressed molecular representations will be of some use to the community to build AI models in chemistry that do not require huge computational resources but give quite competitive accuracy. Even with powerful GPUs at hand – sometimes being able to quickly build ML models can be helpful to “debug” data pipelines and test if allocating more attention/compute to a more “sophisticated” AI architecture”

– Jan Weinreich

🔗 Read the winner’s paper here!

We are pleased to announce that Dr Xin Hong, Associate Professor in the Department of Chemistry at Zhejiang University, has joined Digital Discovery as an Associate Editor.

Dr Hong is internationally recognised for his work at the intersection of synthetic chemistry and data science. He received his Ph.D. from UCLA in 2014 under the guidance of Prof. K. N. Houk, and continued as a postdoctoral researcher at Stanford University with Prof. Jens K. Nørskov.

His research centres on uncovering reaction mechanisms and structure–performance relationships in molecular synthesis. His group is particularly focused on integrating mechanistic understanding with data-driven approaches — including the development of chemically interpretable molecular graph models and transfer learning methods to overcome small-data limitations in organic chemistry.

These innovations have enabled practical progress in areas such as enantioselective cross-coupling and C–H activation, providing new tools for advancing digital chemistry.

“I’m thrilled to join the Editorial Board and look forward to supporting the community in embracing the transformation of chemistry in the era of AI.”

We’re proud to welcome Dr Hong to the Digital Discovery team and look forward to the contributions he’ll bring to the journal and wider community.

Follow us on LinkedIn for more Digital Discovery updates!

Digital Discovery is an international gold open-access journal. Join a community committed to impactful research and collaboration. Submit your article now Sign up now to get updates on all articles as they are published on Twitter, LinkedIn, and in our e-alerts.

We’re pleased to announce that Dr Milad Abolhasani has joined our editorial team as a new Associate Editor.

Dr. Abolhasani is an expert in autonomous chemical experimentation and currently serves as ALCOA Professor, University Faculty Scholar, and Director of the Graduate Program in Chemical and Biomolecular Engineering at North Carolina State University. He also plays a key role in NC State’s Integrative Sciences Initiative as Director of Accelerated Technologies.

His research focuses on self-driving labs—automated microfluidic platforms for accelerated discovery and manufacturing of advanced materials and molecules. Dr. Abolhasani’s work has received international recognition, including the NSF CAREER Award, AIChE Catalysis & Reaction Engineering Early Career Investigator Award, and the Dreyfus Award for Machine Learning in the Chemical Sciences & Engineering.

We’re thrilled to welcome Dr Abolhasani to our editorial team and look forward to his expertise and insight in Digital Discovery.

Join us in welcoming Milad on LinkedIn!

Digital Discovery is an international gold open-access journal. Join a community committed to impactful research and collaboration. Submit your article now Sign up now to get updates on all articles as they are published on Twitter, LinkedIn, and in our e-alerts.

We are pleased to announce the appointment of six new members to the Digital Discovery advisory board!

We are pleased to announce the expansion of our Advisory Board to include researchers with extensive industry experience. This strategic addition brings valuable perspectives and expertise from the forefront of industry innovations, ensuring that our work remains at the cutting edge of both academic and practical applications.

Meet the New Advisory Board Members:

• Dr Jehad Abed (FAIR, Meta): Researcher focused on autonomous laboratories, clean energy materials, and the application of machine learning to solve energy challenges.
• Dr Matteo Aldeghi (Bayer Research and Innovation Center): Director of Machine Learning Research, focusing on the application of digital tools to pharmaceutical R&D.
• Dr Jan Gerit Brandenburg (Merck KGaA Darmstadt): Director for Digital Chemistry, specializing in AI-driven research and computational simulations for molecular and materials science.
• Dr Kenichi Shimmei (Sekisui Chemical): Head of Informatics Technology Center, integrating Materials Informatics (MI) into R&D processes and leading laboratory automation initiatives.
• Dr Seiji Takeda (IBM Research): Research Scientist and manager, developing AI frameworks and fostering collaborations across academia and industry.

By incorporating industry professionals into our Advisory Board, we aim to strengthen the collaboration between academia and industry, and enhance the relevance of the research published in Digital Discovery.

Join Us in LinkedIn to welcome our new experts in the field to the team!

Digital Discovery is an international gold open-access journal. Join a community committed to impactful research and collaboration. Submit your article now Sign up now to get updates on all articles as they are published on Twitter, LinkedIn, and in our e-alerts.

We’re excited to announce that Prof Arnaud Demortière, an expert in energy materials and advanced microscopy techniques, is joining our Advisory Board for Digital Discovery. His background and  research will be a great addition to our board.

Prof Demortière has had a distinguished career, with a PhD from the Sorbonne University in Paris and five years of postdoctoral research at Argonne National Laboratory in Chicago. Since 2015, he has been conducting research at the CNRS in France, focusing on understanding the dynamics of Li-ion battery materials. His work primarily involves multi-scale and multimodal techniques, including in situ/operando methods like TEM (transmission electron microscopy) and X-ray techniques.

In addition to his research, Prof Demortière has been leading efforts to incorporate machine learning and deep learning into analysing experimental data, especially in image processing and computer vision. He also co-founded the startup PreDeeption, which focuses on predicting battery life, and he was awarded the CNRS Innovation RISE prize for this achievement.

Join Us in LinkedIn to welcome Prof Arnaud Demortière to the team!

Digital Discovery is an international gold open-access journal. Sign up now to get updates on all articles as they are published on Twitter, LinkedIn, and in our e-alerts.

We are thrilled to announce that Dr Matthias Degroote, a leading expert in quantum chemistry and quantum computing, has joined the editorial board of Digital Discovery. Dr Degroote’s experience and research in the application of quantum computers in drug design will bring great insights and much needed expertise to our journal.

Dr Matthias Degroote is currently investigating the application of quantum computers in drug design at Boehringer Ingelheim. His expertise spans both classical and quantum computing approaches to the quantum many-body problem.

Matthias earned his PhD in physics from Ghent University, where his research focused on Green’s functions. His academic journey continued with postdoctoral research in method development at Ghent University and Rice University. Since 2018, his research has concentrated on the field of quantum computing. He has held prestigious postdoctoral positions at both Harvard University and the University of Toronto.

Dr Degroote’s work at the intersection of quantum computing and drug design is pioneering. By leveraging quantum computers, he aims to revolutionize the drug design process, making it more efficient and effective. His unique approach and innovative research are expected to bring fresh perspectives to Digital Discovery, enhancing the quality and scope of our publications.

We invite the scientific community to join us in welcoming Dr Matthias Degroote to the editorial board of Digital Discovery. His expertise will significantly contribute to our mission of publishing cutting-edge research in digital and computational sciences.

We look forward to your contributions in quantum computing and beyond and to the exciting developments that lie ahead with Dr Degroote on board!

Digital Discovery is an international gold open-access journal. Sign up now to get updates on all articles as they are published on Twitter, LinkedIn, and in our e-alerts.