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Bioinspiration & Biomimetics: Outstanding Reviewer Awards 2023

Outstanding Reviewers

Reviewer of the year: Mr Nathan Shumway, US Air Force Academy, United States of America

Dr Roi Gurka, Coastal Carolina University, United States of America
Dr Gen Li, Chiba Daigaku, Japan
Dr Muhammad Saif Ullah Khalid, Lakehead University, Canada
Dr Xingwen Zheng, Zhejiang University, China
Dr Jialei Song, The Royal Veterinary College, United Kingdom
Dr Dmitry Kolomenskiy, Chiba Daigaku, Japan

Biofabrication: Outstanding Reviewer Awards 2023

Outstanding Reviewers

Dr Constantin Berger, Julius-Maximilians-Universitat Wurzburg, Germany
Dr Hanna Dams-Kozlowska, Wielkopolskie Centrum Onkologii, Poland
Dr Ludovic Dumont, Universite de Rouen Normandie, France
Mr Giuseppe Guagliano, Politecnico di Milano, Italy
Dr Naomi Paxton, Queensland University of Technology, Australia
Dr Christopher Roche, The University of Sydney, Australia
Mr Jelle Sleeboom, Technische Universiteit Eindhoven, Netherlands
Dr Jacek Wychowaniec, AO Research Institute Davos, Switzerland
Dr Yoni Baert, Vrije Universiteit Brussel, Belgium

Applied Physics Express: Outstanding Reviewer Awards 2023

Outstanding Reviewer

Reviewer of the year: Dr Takuji Hosoi, Kwansei Gakuin University, Japan

Dr Motonobu Tomoda, Hokkaido University, Japan
Dr Masaaki Kuzuhara, Kwansei Gakuin University, Japan
Dr Hiroki Morishita, Tohoku University, Japan
Dr Kazunori Sato, Osaka University, Japan
Dr Toru Akiyama, Mie University, Japan
Dr Mitsuru Funato, Kyoto University, Japan
Dr Hiroyasu Nakayama, National Institute of Advanced Industrial Science and Technology, Japan
Dr Takafumi Kamimura, National Institute of Information and Communications Technology, Japan
Dr Srabanti Chowdhury, Stanford University, United States of America
Professor Man Hoi Wong, The Hong Kong University of Science and Technology, Hong Kong
Dr Alexander S. Urban, University of Munich, Germany
Dr Qi Wei, Nanjing Normal University, China

2D Materials: Outstanding Reviewer Awards 2023

Outstanding Reviewers

Reviewer of the year: Dr Ram Chandra Subedi, King Abdullah University of Science and Technology, Saudi Arabia

Mr Hans He, Chalmers tekniska hogskola AB, Sweden
Dr Mariana Prado, Universidade Federal de Ouro Preto, Brazil
Mr Yinong Zhang, University of Washington, United States of America
Dr Oliver Clark, Helmholtz-Zentrum Berlin fur Materialien und Energie GmbH, Germany
Professor Sachin Kumar, Indian Institute of Technology Delhi, India
Dr Jouko Nieminen, Tampereen yliopisto, Finland
Dr Alessandro Surrente, Politechnika Wroclawska, Poland
Dr Wayne Huang, Georg-August-Universitat Gottingen, Germany
Dr Jiandong Yao, Sun Yat-Sen University, China
Dr Chen Wang, University of California Los Angeles, United States of America
Professor Wei-Ting Hsu, National Tsing Hua University, Taiwan
Dr Nai Chao Hu, The University of Texas at Austin, United States of America
Dr Chengwang Niu, Forschungszentrum Julich GmbH, Germany

Dr Darren Tianye Zheng, The Hong Kong Polytechnic University, Hong Kong, SAR


Dr Darren Tianye ZhengDr Darren Tianye Zheng is a postdoctoral researcher at the Hong Kong Polytechnic University, focusing on electrode materials of rechargeable batteries, battery health
monitoring, and real-time battery sensing. His articles Lithium aluminum alloy anodes in Li-ion rechargeable batteries: past developments, recent progress, and future prospects in Progress in Energy, and Insights into the Sodiation Kinetics of Si and Ge Anodes for Sodium-Ion Batteries in Journal of the Electrochemical Society, were published under the transformative agreement between IOP Publishing and the Hong Kong Polytechnic University.

How would you describe the process of publishing through a transformative agreement with IOP Publishing?
“Smooth” would be the first word that popped up in my head after reading this question. It makes no difference from a regular submission.

What do you think are the advantages of publishing through a transformative agreement?
There are many! The OA publishing has made the works highly visible. My review paper has been downloaded more than 2400 times after nine months, which is surprising. We also received several e-mails from experts working in the same field. From a societal perspective, as a scientist working in a public university, it is my obligation to ensure that all taxpayers in Hong Kong have the opportunity to access and benefit from my research.

Did the transformative agreement make it easier to publish open access?
Certainly! The APC is often quite expensive in my opinion as an early career researcher. I often need to seek approval from my advisor or department office to cover the OA cost prior to submission, which is often a painful process. With the TA, it is no longer a problem.

Do you have any words of advice for other authors interested in publishing open access through a transformative agreement?
I’d say go for it and be strategic in publishing your works. Maximizing the exposure of your work could be a wise step if you are at the early stage of your scientific career. In general, OA papers attract more reads, downloads, and citations.

Generative AI Tools

IOP Publishing is committed to supporting innovation in research and scholarly communication. As generative AI is increasingly used across the research ecosystem, we support its responsible use in ways that enhance discovery, accessibility and research quality while upholding the highest standards of integrity and transparency. This policy outlines acceptable and unacceptable uses of generative AI (GenAI), including large language models (LLMs) and AI chatbots, by authors in IOP Publishing journals.

Why this policy matters 

There are many responsible and appropriate uses for GenAI within scholarly research and we support authors using it in this manner. For example, they may help authors as part of the research process, overcome language barriers or more efficiently process data. However, these tools can produce misleading or fabricated content, cannot be legally accountable for published work and lack the ability to think critically about the material they are producing.

Additionally, uploading manuscript material to GenAI platforms may expose sensitive data to third parties, potentially breaching the rights of others involved in the work, including authors, participants, data owners and reviewers.

This policy aims to balance these considerations, safeguarding confidentiality, accuracy, and fairness while allowing transparent use of AI by authors. As community expectations and industry standards for AI disclosure evolve, IOP Publishing will continue to review and update its requirements to support responsible innovation, research integrity, transparency, and trust in the scholarly record.

Use of Generative AI tools for research purposes

GenAI tools may be used as part of the research process, including to support research ideation, methodology, analysis where their use is methodologically appropriate, transparent and reproducible. All authors remain fully responsible for the accuracy, originality and integrity of all content in their submission, including any content, analysis or conclusions produced with the support of AI tools.

Acceptable Uses 

Authors may use generative AI tools to:

  1. Assist with the research process – including hypothesis generation, research ideation, experimental design and optimisation, simulation and model selection, code generation, data analysis and anomaly detection, and the conduct of computational or AI-enabled research workflows, provided their use is disclosed where required and any outputs are appropriately validated by the authors.
  2. Edit human-written text – this includes minor corrections (checking spelling, grammar and punctuation) and more significant changes (enhancing the clarity and structure of the work).
  3. Generate text – authors must ensure that they have critically revised any AI-generated text to ensure it is accurate and free from plagiarism. Authors are responsible for the interpretation, reasoning and conclusions presented in the manuscript.
  4. Generate figures based on existing data – for example, creating a graph based on data collected during an experiment. This includes the use of AI-assisted coding, visualisation and formatting tools however authors must ensure that AI-assisted figure generation does not alter, distort or misrepresent the underlying data.
  5. Create explanatory images – such as graphical summaries, conceptual illustrations, workflow diagrams, flowcharts and decision trees, where these are used to communicate research concepts, methods, or processes rather than present research data or results. Any AI-generated explanatory image must be clearly distinguishable from research data and must not misrepresent, fabricate, or obscure scientific evidence.
  6. Support literature review – GenAI tools may be used to help locate, retrieve, organise and summarise relevant publications for authors to read and draw upon in their own manuscript. However, authors are responsible for the interpretation, synthesis and critical evaluation of the literature, and literature review sections should reflect the authors’ own scholarly assessment of the field.
  7. Edit their responses to peer-review reports – authors may use GenAI tools only to improve the language of their responses to peer review reports.

Disclosure

Clear and transparent disclosure of the use of AI tools supports trust, reproducibility, and the integrity of the scientific record. Where AI tools have been used in ways that materially contribute to the research process, the preparation of the manuscript or the analysis, interpretation and presentation of results, authors must disclose this in a separate AI disclosure statement as part of the Acknowledgement section of their article. This ensures that its role is visible to readers, reviewers and downstream users.

The disclosure statement should identify the tool or model used, describe how it was used and explain the extent to which the authors verified, validated and critically reviewed the AI-assisted outputs. Where AI tools have been used as part of the research process rather than manuscript preparation, this use should be additionally described in detail in the Methods (and other relevant sections) of the main body of the article.

Template disclosure statement:
“During the preparation of this manuscript, the authors used [Tool Name, Version] to support [describe use]. The authors reviewed, validated and critically assessed all AI-assisted outputs and take full responsibility for the content of the manuscript.”

PLEASE NOTE: Where AI tools have been used for routine spelling, grammar and language editing that does not materially contribute to the manuscript a separate disclosure statement is not required.

Authors are encouraged, and may be required in fields where AI is central to the research method, to provide relevant prompts, prompt logs, model settings, outputs and validation materials as supplementary data where this is necessary to support transparency, reproducibility and assessment of the work. This requirement will be reviewed by IOP Publishing as community standards for AI-use disclosure and metadata develop.

All named authors are fully responsible for all material presented in their manuscript, and for ensuring its accuracy, integrity and originality.

Unacceptable Uses 

Authors may not:

  1. Fabricate original research data or results – any data or results must have been gathered from the experiment presented in the paper or generated through a legitimate, disclosed and scientifically valid research method.
  2. Alter or manipulate original research data or results – this includes the manipulation of images such as blots.
  3. Generate or modify reference lists – authors may use generative AI tools to support literature discovery, citation management, reference formatting and reference checking, but every cited source must be verified by the authors against the original source to confirm that it exists, is accurately represented, and is drawn upon and referenced in the main body of the manuscript.
  4. Upload reports from reviewers to generative AI tools – this may expose sensitive data to third parties, breaching reviewer rights and privacy laws.
  5. Generate responses to reviewers – it is important that authors critically engage with reviews and revise their work based on the advice of their peers. Authors must personally evaluate reviewer comments, verify any AI-assisted outputs and take full responsibility for the final response.
  6. Hidden prompts – concealing prompts for GenAI tools within a manuscript in an attempt to manipulate the peer review process will result in immediate rejection.

Literature review 

While GenAI tools can be used to support literature review, authors should keep in mind that these tools are prone to generating false content, including references to non-existent work.

GenAI tools may assist in identifying, retrieving, organising and summarising relevant literature. However, authors must independently assess, interpret and synthesise the literature and ensure that any conclusions or characterisations of prior work accurately reflect the cited sources.

We consider the presence of references to non-existent sources to be strong evidence of irresponsible AI usage and to raise serious concerns about the validity of the work. If they are found during the submission process, this will usually result in a rejection of the submitted manuscript and potentially further sanctions. If they are discovered after publication (either in the Accepted Manuscript or Version of Record), IOP Publishing reserves the right to retract the paper due to a loss of confidence in the work.

Administrative mistakes where references to two existing papers have been mixed-up, or where there is a typo in a reference to an existing paper, are not covered by this policy.

Celebrating the impact of research published through the Swedish transformative agreement in 2025


 

The open access articles featured in this celebratory collection have been selected for the great impact they have achieved in such a short period of time.

From achieving high downloads and citations to receiving significant media coverage, these papers show how our TA in Sweden is increasing the visibility and impact of scientific research.

Join your fellow researchers who are shaping the future of science, and your articles could also be featured in news outlets such as National Geographic, BBC News and ScienceDaily.

Explore our other celebratory collections to discover more research making an impact, or revisit our 2024 featured articles.

Find out if your institution is participating in this agreement with our Journal Finder, and make sure your next paper gets the greatest exposure.

Is your institution not currently part of our BIBSAM agreement? You can recommend a transformative agreement to your librarian here.

 

Read the Swedish articles making an impact across our journal portfolio


Paper  |  Open Access
Learning group invariant Calabi–Yau metrics by fundamental domain projections
Yacoub Hendi et al, Uppsala Universitet
2025 Mach. Learn.: Sci. Technol. 6 015050 https://doi.org/10.1088/2632-2153/adb4bb


Paper  |  Open Access
Simulating open quantum systems with giant atoms
Guangze Chen and Anton Frisk Kockum, Chalmers tekniska högskola
2025 Quantum Sci. Technol. 10 025028 https://doi.org/10.1088/2058-9565/adb2bd


Letter |  Open Access
Unraveling the link between agricultural patterns and dust storm occurrence in Mesopotamia
Hossein Hashemi et al, Lunds universitet
2025 Environ. Res. Lett. 20 024011 https://doi.org/10.1088/1748-9326/ada62a


Topical Review  |  Open Access
A quantitative relationship between electron localization function and the strength of physical binding
Kim-Jonas Ylivainio et al, Luleå tekniska universitet
2025 J. Phys.: Condens. Matter 37 205502 https://doi.org/10.1088/1751-8121/ad5fd0


Paper  |  Open Access
Influence of different hydrocarbons on impurities and minority carrier lifetime in 4H-SiC epitaxial layers
Misagh Ghezellou et al, Linköpings universitet
2025 J. Phys. Mater. 8 025008 https://doi.org/10.1088/2515-7639/adb7c0


Paper  |  Open Access
Manipulation and trapping of magnetic skyrmions with domain walls in chiral magnetic thin films
P Leask, Kungliga Tekniska högskolan
2025 J. Phys.: Condens. Matter. 37 135804 https://doi.org/10.1088/1361-648X/adb230


Paper |  Open Access
How much resources are reasonable to spend on radiological protection?
A Engström et al, Göteborgs universitet
2025 J. Radiol. Prot. 44 041516 https://doi.org/10.1088/1361-6498/ad9f73


Perspective  |  Open Access
Perspectives on noble metallenes: from synthesis to application
Shun Kashiwaya et al, Linköpings universitet
2025 2D Mater. 12 033001 https://doi.org/10.1088/2053-1583/adc470


Letter  |  Open Access
Modelling the brittle failure of graphite induced by the controlled impact of runaway electrons in DIII-D
S. Ratynskaia et al, Kungliga Tekniska högskolan
2025 Nucl. Fusion 65 024002 https://doi.org/10.1088/1741-4326/adab05


Topical review  |  Open Access
Superconducting phenomena in systems with unconventional magnets
Jorge Cayao et al, Uppsala Universitet
2025 J. Phys.: Condens. Matter. 37 313003 https://doi.org/10.1088/1361-648X/adf1cf


Major Report  |  Open Access
The HIBEAM instrument at the European spallation source
V Santoro et al, European Spallation Source ERIC
2025 J. Phys. G: Nucl. Part. Phys. 52 040501 https://doi.org/10.1088/1361-6471/adc8c2


Paper  |  Open Access
An upper pressure limit for low-Z benign termination of runaway electron beams in TCV
M Hoppe et al, Kungliga Tekniska högskolan
2025 Plasma Phys. Control. Fusion 67 045015 https://doi.org/10.1088/1361-6587/adbcd5


Paper  |  Open Access
Beware of diffusion models for synthesizing medical images—a comparison with GANs in terms of memorizing brain MRI and chest x-ray images
Muhammad Usman Akbar et al, Linköpings universitet
2025 Mach. Learn.: Sci. Technol. 6 015022 https://doi.org/10.1088/2632-2153/ad9a3a


Paper  |  Open Access
Axial confinement in the Novatron mirror machine
J. Scheffel et al, Kungliga Tekniska högskolan
2025 Nucl. Fusion. 65 066011 https://doi.org/10.1088/1741-4326/add173


Letter  |  Open Access
How good is my drought index? Evaluating predictability and ability to estimate impacts across Europe
A Shyrokaya et al, Uppsala Universitet
2025 Environ. Res. Lett. 20 034051 https://doi.org/10.1088/1748-9326/adb869


Paper  |  Open Access
Losses in magnetic field resilient coplanar stripline resonators
Ivo P C Cools et al, Chalmers tekniska högskola
2025 J. Phys. D: Appl. Phys. 58 255102 https://doi.org/10.1088/1361-6463/added5


Letter  |  Open Access
Fluorescence lifetime imaging of nitric oxide in nanosecond pulsed discharge-assisted NH3/air flames
Jinguo Sun et al, Lunds Universitet
2025 Plasma Sources Sci. Technol. 34 035011 https://doi.org/10.1088/1361-6595/adbd70


Paper  |  Open Access
Investigating pedestal dependencies at JET using an interpretable neural network architecture
A. Gillgren et al, Chalmers tekniska högskola
2025 Nucl. Fusion. 65 056033 https://doi.org/10.1088/1741-4326/adcbc2


Topical Review  |  Open Access
Oxygen Reduction Reaction Kinetics on Silver- and Platinum Thin-Layer Electrodes in AEMFC
Eva Marra et al, Kungliga Tekniska högskolan
2025 J. Electrochem. Soc. 172 044514 https://doi.org/10.1149/1945-7111/adce3c


Paper  |  Open Access
ChatGPT in engineering education: a breakthrough or a challenge?
Davood Khodadad, Umeå Universitet
2025 Phys. Educ. 60 045006 https://doi.org/10.1088/1361-6552/add073

 

2024 featured articles


Paper  |  Open Access
How understanding large language models can inform the use of ChatGPT in physics education
Giulia Polverini and Bor Gregorcic, Uppsala Universitet
2024 Eur. J. Phys. 45 025701 https://doi.org/10.1088/1361-6404/ad1420


Paper  |  Open Access
Physics-informed deep-learning applications to experimental fluid mechanics
Yuning Wang et al, Kungliga Tekniska högskolan
2024 Meas. Sci. Technol. 35 075303 https://doi.org/10.1088/1361-6501/ad3fd3


Paper  |  Open Access
Light fields during inflation from BOSS and future galaxy surveys
Benjamin Wallisch et al, Stockholms Universitet
2024 JCAP. 05 (2024)090 https://doi.org/10.1088/1475-7516/2024/05/090


Topical Review  |  Open Access
The duality between color and kinematics and its applications
Henrik Johansson et al, Uppsala Universitet
2024 J. Phys. A: Math. Theor. 57 333002 https://doi.org/10.1088/1751-8121/ad5fd0


Paper  |  Open Access
Metallic melt transport across castellated tiles
S. Ratynskaia et al, Kungliga Tekniska högskolan
2024 Nucl. Fusion. 64 036012 https://doi.org/10.1088/1741-4326/ad219b


Roadmap  |  Open Access
Roadmap on optical communications
Erik Agrell et al, Chalmers Tekniska Högskola
2024 J. Opt. 26 093001 https://doi.org/10.1088/2040-8986/ad261f


Paper  |  Open Access
Backreaction of axion-SU(2) dynamics during inflation
Oksana Iarygina et al, Kungliga Tekniska högskolan
2024 JCAP. 04 (2024)018 https://doi.org/10.1088/1475-7516/2024/04/018


Roadmap  |  Open Access
2024 roadmap for sustainable batteries
Patrik Johansson et al, Chalmers Tekniska Högskola
2024 J. Phys. Energy 6 041502 https://doi.org/10.1088/2515-7655/ad6bc0


Paper  |  Open Access
Deep learning-based auditory attention decoding in listeners with hearing impairment
M Asjid Tanveer et al, Lunds Universitet
2024 J. Neural Eng. 21 036022 https://doi.org/10.1088/1741-2552/ad49d7


Paper  |  Open Access
Base-Driven Ring-Opening Reactions of Vinylene Carbonate
Neeha Gogoi et al, Uppsala Universitet
2024 J. Electrochem. Soc. 171 050506 https://doi.org/10.1149/1945-7111/ad430e


Paper  |  Open Access
Inverse Gertsenshtein effect as a probe of high-frequency gravitational waves
Yutong He et al, Stockholms Universitet
2024 JCAP. 05 (2024)051 https://doi.org/10.1088/1475-7516/2024/05/051


Paper  |  Open Access
Measurement of ultrashort laser pulses with a time-dependent polarization state using the d-scan technique
Daniel Díaz Rivas et al, Lunds Universitet
2024 J. Phys. Photonics 6 015003 https://doi.org/10.1088/2515-7647/ad1c6c


Paper  |  Open Access
Remote monitoring of sleep disorder using FBG sensors and FSO transmission system enabled smart vest
Imran Aziz et al, Uppsala Universitet
2024 Eng. Res. Express. 6 025337 https://doi.org/10.1088/2631-8695/ad48da


Paper  |  Open Access
BerryEasy: a GPU enabled python package for diagnosis of nth-order and spin-resolved topology in the presence of fields and effects
Alexander C Tyner, Stockholms Universitet
2024 J. Phys.: Condens. Matter. 36 325902 https://doi.org/10.1088/1361-648X/ad475f


Paper  |  Open Access
Limitations of Polyacrylic Acid Binders When Employed in Thick LNMO Li-ion Battery Electrodes
Alma Mathew et al, Uppsala Universitet
2024 J. Electrochem. Soc. 171 020531 https://doi.org/10.1149/1945-7111/ad242b


Paper  |  Open Access
Runaway electron dynamics in ITER disruptions with shattered pellet injections
O. Vallhagen et al, Chalmers tekniska högskola
2024 Nucl. Fusion. 64 086033 https://doi.org/10.1088/1741-4326/ad54d7


Letter  |  Open Access
Power & protein—closing the ‘justice gap’ for food system transformation
Isabel Baudish et al, Stockholms Universitet
2024 Environ. Res. Lett. 19 084058 https://doi.org/10.1088/1748-9326/ad3d6f


Paper  |  Open Access
Cathodoluminescence investigations of dark-line defects in platelet-based InGaN nano-LED structures
Anders Gustafsson et al, Lunds Universitet
2024 Nanotechnology. 35 255703 https://doi.org/10.1088/1361-6528/ad33e9


Topical Review  |  Open Access
Online misinformation during extreme weather emergencies: short-term information hazard or long-term influence on climate change perceptions?
Stefan Daume, Stockholms Universitet
2024 Environ. Res. Commun. 6 022001 https://doi.org/10.1088/2515-7620/ad1b67


Paper  |  Open Access
Sensitivity and resolution response of optical flow-based background-oriented schlieren to speckle patterns
Bora O Cakir et al, Lunds Universitet
2024 Meas. Sci. Technol. 35 075201 https://doi.org/10.1088/1361-6501/ad30bd



Researchers from Lebanon

IOP Publishing (IOP) has a transformative agreement with American University of Beirut to enable a transition to open access publishing.

Who can benefit?
All corresponding authors that are current staff members, researchers (permanent, temporary and visiting), or students at American University of Beirut at the point of submission, can publish open access at no cost to themselves. The corresponding author is the person listed as Corresponding Author at the time of submission, and is the person responsible for communicating with the journal during the peer review and publication process.

What’s included?

  • Articles accepted will be eligible for transformative agreement funding to enable authors to publish open access with no cost to themselves
  • Research paper, Focus Collection, letter and review article types
  • Included journals are those in lists A, B, C and D. Click here for a full title list of eligible journals.

Please note
You may find our author guide for submitting under a transformative agreement helpful located in our Transformative Agreement hub

Researchers from Macau

IOP Publishing (IOP) has a transformative agreement with the University of Macau to enable a transition to open access publishing.

Who can benefit?
All corresponding authors that are current staff members, researchers (permanent, temporary and visiting), or students at the University of Macau at the point of submission, can publish open access at no cost to themselves. The corresponding author is the person listed as Corresponding Author at the time of submission, and is the person responsible for communicating with the journal during the peer review and publication process.

What’s included?

  • Articles accepted will be eligible for transformative agreement funding to enable authors to publish open access with no cost to themselves
  • Research paper, Focus Collection, letter and review article types
  • Included journals are those in lists A, B, C and D in the title list of eligible journals

Please note
You may find our author guide for submitting under a transformative agreement helpful located in our Transformative Agreement hub.
For more information, please contact your relevant library contact at your university.

Is your institution not listed here? Recommend open access funding to your library.

Researchers from Saudi Arabia

IOP Publishing (IOP) has a transformative agreement with two institutions in Saudi Arabia to enable a transition to open access publishing.

“As pioneers in open access publishing, KAUST Library have signed a number of transformative agreements and continues to excel in this field. With the new unlimited IOPP 3-year deal, we’ve reached a new milestone on our open access publishing journey which provides wider recognition and greater impact of KAUST research.”
Nora Alshibani, KAUST Library Director

Who can benefit?
All corresponding authors that are current staff members, researchers (permanent, temporary and visiting), or students at one of the institutions below at the point of submission, can publish open access at no cost to themselves. The corresponding author is the person listed as Corresponding Author at the time of submission, and is the person responsible for communicating with the journal during the peer review and publication process.

What’s included?

  • Articles accepted will be eligible for transformative agreement funding to enable authors to publish open access with no cost to themselves
  • Research paper, Focus Collection, letter and review article types
  • Included journals are those in lists A, B, C and D. Click here for a full title list of eligible journals.

Please note
You may find our author guide for submitting under a transformative agreement helpful located in our Transformative Agreement hub. For more information, please contact your relevant library contact at your university.

Eligible institutions
King Abdullah University of Science and Technology (KAUST)
King Abdulaziz University (KAU)