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iopp-mlresearch.bsky.social
IOPP Machine Learning and AI
@iopp-mlresearch.bsky.social
Discover our #openaccess journals devoted to the application and development of #MachineLearning and #ArtificialIntelligence for the sciences, health, earth and engineering.

ML Series: https://bit.ly/3FUYyNe
AI for Science: https://bit.ly/3QZlflu
⚡💡 Want faster, smarter surface stability predictions?

This study benchmarks 19 ML models (uMLIPs) on 36,000+ materials to predict cleavage energy.

Discover how this leads to more accurate, efficient predictions 👉 iopscience.iop.org/article/10.1...
November 11, 2025 at 1:44 PM
🧠Introducing AInstein, a novel new machine learning (ML) framework that solves Einstein’s equations without symmetry assumptions.

Explore this bridge between physics and ML 👉 iopscience.iop.org/article/10.1...
November 4, 2025 at 11:37 AM
Recently published article in #MachineLearningEngineering
"Exploring model #generalizability from a novel perspective"
👉Read, download and cite here: ow.ly/wq2z50X9ziZ
From Sunyang Wang, Baodi Yu and Fanyong Meng, Institute of Process Engineering, Chinese Academy of Sciences
October 10, 2025 at 7:40 AM
Want to join us online, for a free, two day event dedicated to machine learning?
With international speakers from across the globe discussing theory and real-world impact of machine learning across scientific disciplines.
View the line-up here: ow.ly/T6xX50X5Lo0

#ML4S2025 #MachineLearning
October 9, 2025 at 12:57 PM
Recently published in #MachineLearningEarth, enhancing seismic hazard assessment, using deep generative models

📑Read the research here: ow.ly/wrlk50X5ssw
From Ravi Kanth Sriwastav et al (Indian Institute of Technology Madras)
October 2, 2025 at 9:31 AM
🎉The first issue of AI for Science (AI4S) is here!

🔓 AI4S is a new interdisciplinary, peer-reviewed, gold open access where publication fees are currently paid by the Songshan Lake Materials Laboratory.

Explore how AI is transforming scientific discovery 👉 iopscience.iop.org/issue/3050-2...
September 30, 2025 at 1:25 PM
Secure your spot for this free, hybrid, two-day event.
Join global leaders and researchers to explore cutting-edge #MachineLearning applications across disciplines to shape the future of #science & #technology.
Discover the #SpeakerList, registration details and more here: ow.ly/yw9M50X3sAS
September 29, 2025 at 9:17 AM
Recently published #PerspectiveArticle in #MachineLearningEngineering
Discover work on building a systematic, scalable framework for Engineering AI
Read here: ow.ly/8PN250WHGNn
By Jay Lee, Hanqi Su, Dai-Yan Ji and Takanobu Minami
#AIFramework #AIinEngineering #AppliedMachineLearning
September 26, 2025 at 8:55 AM
Make sure your manuscript stands out for success with a Rapid Techinical Review. Provided by Editage, get a detailed report in 5 days, including:
🔍 Structure improvement
🔍 Expert inputs
🔍 Clear results
🔍 Figure consistency
Learn more here: ow.ly/uFQv50X08oB
September 22, 2025 at 12:40 PM
Can Transformers help us perform parameter estimation of overlapping signals in #GravitationalWaveDetectors?
Find out here: ow.ly/IrYY50WZjqr
Lucia Papalini, Federico De Santi, Massimiliano Razzano, Ik Siong Heng & Elena Cuoco

@btbsunimib.bsky.social @uofglasgow.bsky.social @elenacuoco.bsky.social
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September 19, 2025 at 11:53 AM
Read the latest work on a novel, computationally efficient training framework with bio-signal processing on edge medical devices: ow.ly/L1bX50WYFEp
By Zhaojing Huang et al. (@sydney.edu.au)
#EdgeAI #TinyML #BioSignalProcessing #MedicalAI #OpenAccess #ModelOptimization
September 18, 2025 at 10:44 AM
✨Develop your #PeerReview competency with our free online course.
📚 Discover comprehensive modules, including peer review fundamentals, paper mills, authorship misconduct, ChatGPT and more...
💡https://ow.ly/HNen50WzWPY
September 17, 2025 at 10:40 AM
🎉 A huge thank you to everyone who took part in our survey “Peer review in the era of AI”.
As part of #PeerReviewWeek2025, we’re delighted to share insights gathered from your contributions.
👉 Read the full report: ioppublishing.org/news/reviewe...

#PeerReview #AIinResearch #ResearchIntegrity
September 15, 2025 at 8:47 AM
Register for online or in-person!
IOP's hybrid event: Physics-Enhanced #MachineLearning.

Registration is free for IOP Members and Student Members!

📝Find out how to register here: iop.eventsair.com/peml2025/reg...

📑Read more information here: iop.eventsair.com/peml2025/pro...
September 12, 2025 at 3:34 PM
Register for IOP’s hybrid multi-workshop event.
⏱️Deadline to register in person attendance is 15th September

Covering Physics-Enhanced Machine Learning in:
🧰Mechanics and Materials
💻Computational Physics and Applications
🌨️Climate and Space
Register here: iop.eventsair.com/peml2025/reg...
September 12, 2025 at 10:43 AM
Measuring river surface velocity is essential for estimating river discharge. This study uses a neural operator (NO)-based model, RivNO, to accurately reconstruct missing surface velocities.
Read here: ow.ly/wNwG50WVBkg
From Xueqin Chen, Hessel Winsemius & Riccardo Taormina
#EnvironmentalMonitoring
September 12, 2025 at 8:11 AM
Reposted by IOPP Machine Learning and AI
In preparation for tomorrow, catch up on last year's results published in #MachineLearningScienceandTechnology (@iopp-mlresearch.bsky.social), bit.ly/4nuQu6h. Good luck to all the participants and congratulations to @benblaiszik.bsky.social for organizing this incredible event #machinelearning
Over 1100 people around the world, virtual and in-person, decided to take a chance together, to imagine, and build - seeking ways to speed discovery and understanding in materials and chemistry with AI.

We'll share our findings soon, but from what I've heard already prepare to be amazed.
September 10, 2025 at 6:32 PM
Reposted by IOPP Machine Learning and AI
Over 1100 people around the world, virtual and in-person, decided to take a chance together, to imagine, and build - seeking ways to speed discovery and understanding in materials and chemistry with AI.

We'll share our findings soon, but from what I've heard already prepare to be amazed.
September 10, 2025 at 3:43 PM
Recently published in #MachineLearningEngineering 🥳

Read the #openaccess article: 'Understanding interpretable patterns of Shapley behaviours in materials data'
👉 ow.ly/bmmN50WHE2X
From Tommy Liu and Amanda S Barnard, (Australian National University)
#DataAnalysis #ExplainableArtificialIntelligence
September 5, 2025 at 8:29 AM
Interested in reviewing cutting edge science and contributing to the scholarly community?
🌟 Register now to begin your journey as a peer reviewer with us!
Learn more -> ow.ly/7eFu50WzWNO
#EarlyCareerResearcher #PeerReview
September 4, 2025 at 9:12 AM
In our Author Insights short blog series, Emma Bartovsky discusses key benefits to publishing open access, including how you can enable wider collaboration.
Find out more👉 ow.ly/XtEu50WQ7gb

#AuthorInsights #PublishingSupport #PublishingAdvice #ResearcherSupport
September 3, 2025 at 8:23 AM
AI is revolutionising the design and optimisation of fibrous networks - key structures in biological and engineered materials.

Find out more 👉 iopscience.iop.org/article/10.1...
September 2, 2025 at 10:41 AM
Celebrating the 5th anniversary in of Journal of Physics: Complexity: ow.ly/PqWk50WP5nu
Read the newly published Editorial by our Editor-in-Chief, Professor Ginestra Bianconi (‪@gin-bianconi.bsky.social‬)
Highlighting the key role of #ComplexSystems research in #Physics and #Science in general.
September 1, 2025 at 1:46 PM
Read Machine Learning Health’s recently published #article on how #algorithms can be used to improve preventative measures for underage #TobaccoConsumption.

From Dana Louise Adcock and Shreyas Sridhar Kashyap
(@syracuseuniversity.bsky.social)
Read the full article: ow.ly/ehpS50WOWBK
September 1, 2025 at 8:12 AM
Sign up to get your researcher publishing guide: ow.ly/s7ww50VLcF0

Get advice, tools, and tips as well as a step-by-step walk through, to help you publish your research and make an impact in the scientific community.

#ScientificResearch #ResearchPublishingTips
August 29, 2025 at 8:22 AM