
Academic Journal
Q1Digital Discovery
About Digital Discovery
Digital Discovery is a scholarly journal published by Royal Society of Chemistry. SCImago 2025 lists it in Q1, with an SJR of 1.492 and H-index of 32.
Coverage: 2022-2026. Research categories: Chemistry (miscellaneous) (Q1).
Verified field sources
- Journal Impact Factor: 7.1 — Official source; checked 2026-10-03. Current journal information published by the Royal Society of Chemistry; editorial role retained as labelled by the publisher.
- Impact Factor year: 2025 — Official source; checked 2026-10-03. Current journal information published by the Royal Society of Chemistry; editorial role retained as labelled by the publisher.
- Editor(s): Alán Aspuru-Guzik (Editor-in-Chief) — Official source; checked 2026-10-03. Current journal information published by the Royal Society of Chemistry; editorial role retained as labelled by the publisher.
Open-access policies and author information
Reported in the official DOAJ public CSV snapshot (2026-09-01), downloaded 2026-10-03. Record updated 2025-06-29. This snapshot does not establish today’s listing status or fee quotation.
Publisher policy links recorded by DOAJ
- Aims and scope ↗
- Editorial board ↗
- Instructions for authors ↗
- Peer-review policy ↗
- Publication fees ↗
- Fee waivers ↗
- Licence terms ↗
- Copyright policy ↗
- Preservation policy ↗
Source: DOAJ journal record. Journal metadata is distributed by DOAJ under CC0. Confirm current fees, tax, eligibility and waiver terms with the publisher.
Source-backed journal facts
Topics in published research
Machine Learning in Materials Science; Computational Drug Discovery Methods; Diverse Scientific and Economic Studies; Protein Structure and Dynamics; Scientific Computing and Data Management; Cell Image Analysis Techniques.
OpenAlex classifies topics from published works. These topics are not the publisher’s official aims and scope.
Source: OpenAlex source record. Retrieved 2026-10-03. Source record updated 2026-10-02. OpenAlex metrics are different from SCImago metrics and the Clarivate Journal Impact Factor.
Journal Metrics
Quartile, SJR and the listed SCImago H-index use the 2025 imported SCImago dataset. A quartile may vary by subject category. Values without a source or reporting year are unverified historical entries. Verify the current Journal Impact Factor with Clarivate or the publisher before using it.
Aims & Scope
The publisher’s official aims and scope have not yet been verified for this profile. Use the journal website to check subject fit and accepted article types before submitting.
Recent Research Articles
Latest publications matched automatically by ISSN.
Pessimistic asynchronous sampling in high-cost Bayesian optimization
Amanda A. Volk, Kristofer G. Reyes, Jeffrey G. Ethier, Luke A. Baldwin et al.
2026 · DOI: 10.1039/d5dd00477bALBATROSS: a robotised system for high-throughput electrolyte screening via automated electrolyte formulation, coin-cell fabrication, and electrochemical evaluation
Hyun-Gi Lee, Jaekyeong Han, Minjun Kwon, Hyeonuk Kwon et al.
2026 · DOI: 10.1039/d5dd00580aNaviDiv: a web app for monitoring chemical diversity in generative molecular design
Mohammed Azzouzi, Thanapat Worakul, Clémence Corminboeuf
2026 · DOI: 10.1039/d5dd00487jCommit: SurfPro2: a relational database, curation workflow and repository of surfactant physicochemical data
Stefan L. Hödl, Pim F. J. Dankloff, Alexander A. Korotkevich, Wilhelm T. S. Huck et al.
2026 · DOI: 10.1039/d6dd00522eDNA-encoded libraries through a machine learning lens: challenges and opportunities
Malkeet Singh Bahia, Yifan Jiang, Arthur Gonse, Robert A. Batey et al.
2026 · DOI: 10.1039/d6dd00117cRobust transfer learning for Bayesian optimization of chemical reactions
Guanming Chen, Priyanka Parihar, Maximilian Fleck, Thijs Stuyver et al.
2026 · DOI: 10.1039/d6dd00527fA data-driven approach to control stimulus responsivity of functional polymer materials: predicting thermoresponsive color-changing properties of polydiacetylene
Risako Shibata, Nano Shioda, Hiroaki Imai, Yasuhiko Igarashi et al.
2026 · DOI: 10.1039/d5dd00442jBack cover
2026 · DOI: 10.1039/d6dd90022dComputational design of polypeptide-based compartments for synthetic cells
Jianming Mao, Yongkang Xi, Armin Shayesteh Zadeh, Allen P. Liu et al.
2026 · DOI: 10.1039/d5dd00291ePredicting molecular structure from sparse NMR data, proof-of-concept using a graph neural network
Ben Honoré, Calvin Yiu, Jose Napolitano, Dave Russell et al.
2026 · DOI: 10.1039/d6dd00189kCatGo: Bridging CLI coding agents with interactive structure and workflow management for computational chemistry
Guangsheng Liu, Xiao Ma, Leshen Zhang, Jenedith Pascasio et al.
2026 · DOI: 10.1039/d6dd00273kSAM-EM: segment anything for liquid-phase electron microscopy video segmentation
Zain Shabeeb, Siddarth Sreeram, Isabel Panicker, Alexander Wang et al.
2026 · DOI: 10.1039/d6dd00211kA modular approach to studying polymer processing using a self-driving lab
Adedire D. Adesiji, Dylan J. Balter, Zhaoji Yang, Kelsey L. Snapp et al.
2026 · DOI: 10.1039/d6dd00146gAccelerating quantum materials characterization: hybrid active learning for autonomous spin wave spectroscopy
William Ratcliff II
2026 · DOI: 10.1039/d6dd00232cDeep learning approaches for determining solid-state anharmonic phonon dynamics and thermodynamics: accuracy at an affordable cost
Maria Petrov, Raymond G. Schireman, Davide Mitoli, Michael T. Ruggiero et al.
2026 · DOI: 10.1039/d6dd00182cFront cover
2026 · DOI: 10.1039/d6dd90001aAI-driven robotic crystal explorer for rapid polymorph identification
Edward C. Lee, Daniel Salley, Abhishek Sharma, Leroy Cronin et al.
2026 · DOI: 10.1039/d5dd00203fData-driven design of Cantor-type FeNiCoCrMn alloys: integrating physics-based models, explainable AI, and experiment
Fangxi Wang, Allana G. Iwanicki, Abhishek T. Sose, Lucas A. Pressley et al.
2026 · DOI: 10.1039/d6dd00423gEfficient symmetry-aware materials generation via hierarchical generative flow networks
Tri Minh Nguyen, Sherif Abdulkader Tawfik, Truyen Tran, Sunil Gupta et al.
2026 · DOI: 10.1039/d4dd00392fLooking back and to the future after four-plus years of language in chemistry
Glen M. Hocky, Andrew D. White
2026 · DOI: 10.1039/d5dd00550gReviews
Community Reviews
Version History
October 4, 2026 at 8:51 pm
September 25, 2026