IOPP Machine Learning and AI

AI for Science takes a deep learning approach to search for superconductors from electronic bands🔍

Explore this #OpenAccess work that bridges machine learning with superconductivity theory 🔓👉 iopscience.iop.org/article/10.1...

#AIforScience

Read Machine Learning: Earth's first issue: ow.ly/Fl8i50Wzg5Z
Are you applying #MachineLearning and #ComputationalMethods to tackle challenges in #EnvironmentalScience, #ClimateScience, #Ecology, #RenewableEnergy or #EarthSystems?
Then this is for you!
Discover the latest scientific developments!

#MachineLearning (ML) for orbital-free density functional theory (OF-DFT) and OF-DFT for ML. Manzhos and coworkers tackle the kinetic energy functional in this new #MachineLearningScienceandTechnology article. #compchem #CompChemSky Read it here: bit.ly/45eGM0f

A new study in #MachineLearningHealth discovers that #ChatGPT can accelerate patient screening for #ClinicalTrials, showing promise in reducing delays and improving trial success rates.
Published in Machine Learning: Health's First issue.
Read the full, open access issue here: ow.ly/I8VF50WxRah

Read the first issue: ow.ly/rHfT50WxQu0

For #Engineers across all disciplines—#Mechanical, #Electrical, #Robotics, #Bioengineering, #Aerospace, #Civil, #Chemical, #Materials, and more!

Discover the latest developments and applications of #MachineLearning and #ComputationalMethods in your field.

Great news for AI for Science authors!🎉

🔓 All article publication charges are still fully waived, meaning you can share your research with a global audience completely free of charge.

Start publishing today 👉 iopscience.iop.org/journal/3050...

#AIForScience #AIScienceResearch #OpenAccess

🚨 Fake news spreads fast—but #AI is catching up!

A new study uses graph neural networks to map how misinformation travels, boosting detection accuracy to 97%.

The future of truth-finding is structural. Read article here: bit.ly/4lJ1Z9L

#MachineLearning #FakeNews

Calling Machine Learning #Researchers!

This free-to-attend, hybrid event will provide you with a global platform to discuss #MachineLearning across #science and #industry, from #engineering to #healthcare & #EnvironmentalSciences.

Find out more and register here: ow.ly/N97q50WtMUE

#ML4S2025

Publish in AI for Science for:

🔬 Broad scope for AI-driven scientific breakthroughs
🌍 Open access publishing at no cost to you
✅ Review by top international experts
⚡ Fast publication
📝 Formatting your way and we’ll handle the rest

🔗 Submit now: iopscience.iop.org/journal/3050...

#AIResearch

⚛️Great new #MLST article on ‘Evidential #DeepLearning for #UncertaintyQuantification and #AnomalyDetection in Jet Identification’
From University of Illinois Urbana-Champaign researchers @markneubauer.bsky.social

Paper ➡️http://bit.ly/3TMiu8A

#MachineLearningScienceandTechnology #machinelearning

⚛️New Review Article out now in #MachineLearningScienceandTechnology on Opportunities in #continual_learning for applications of #machine_learning in #ParticleAccelerators 🤖

Authors from Jefferson Lab; Uni of Houston; SLAC Nat Lab; Oak Ridge Nat Lab

Read the Review ➡️ bit.ly/4lzy8Ag

🔍 New insights into reservoir computing!

Tuning the activation function can extend the forecast horizon by an order of magnitude. Curvature matters more than you think.
Read here👉 bit.ly/44MgPF4

Researchers from @colorado.edu

#MachineLearning #ReservoirComputing #TimeSeries #ComplexNetworks

❓Starting your publishing journey?

We provide a step-by-step guide that helps you through the entire #publishing process. From writing your manuscript through to what to do after #publication.

Sign up for your copy: ow.ly/s7ww50VLcF0

#HowToGetPublished #PublishingSupport

🔎Great new work in #MachineLearningScienceandTechnology !

A multiscale #Bayesian approach that turns few X-rays into comprehensive chemical maps
Researchers from @heriotwattuni.bsky.social, EPFL & DQMP, Uni of Geneva

Read the full paper ➡️ bit.ly/4lKMwoX
#Multiscale #Electron #Microscopy #Denoising

🔎Great new work in #MachineLearningScienceandTechnology !

A multiscale #Bayesian approach that turns few X-rays into comprehensive chemical maps
Researchers from @heriotwattuni.bsky.social, EPFL & DQMP, Uni of Geneva

Read the full paper ➡️ bit.ly/4lKMwoX
#Multiscale #Electron #Microscopy #Denoising

🚨Great new Dataset article in #MLST🚨
@kasieczka.bsky.social @mikraemer.bsky.social @ozamram.bsky.social & co-authors ‘prep 180M jets from pp collisions for easy AI training & use them to pre-train a foundation model’

#FoundationModels #ParticlePhysics #OpenData #LHC

Paper ➡️ bit.ly/4eE0QO1

🌟 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/zByo50VLnxI

#EarlyCareerResearcher #PeerReview

We’re excited to announce that our sponsored article is now live in #PhysicsWorld, highlighting the vision for our new journal, AI for Science. A home for research which showcases the transformative role of AI in scientific research across disciplines.

Discover 👉 physicsworld.com/a/new-open-a...

First manuscript under the banner of @coreacter.org, first solo-author manuscript, first manuscript on the topic of philosophy/ethics. Lots to be proud of with this one; I'm so glad it was published @iopp-mlresearch.bsky.social ML:ST!

🚀 New frontier in Topological Data Analysis: Quantum algorithms for estimating distances between persistence diagrams!
This work proposes variational quantum methods for Wasserstein distance—paving the way for a fully quantum TDA pipeline.

➡️ bit.ly/4nw3NnT

#QuantumComputing #TDA #MachineLearning

This is the first of our challenges articles, a new article type we introduced across the #MachineLearningSeries to better support the #machinelearning community. They report the outcomes of #hackathons and other community-led initiatives. Find out more here: bit.ly/4eCzurs 2/2

Figure 1 from the article text. The caption reads: Schematic illustration of the three-phase validation and evaluation pipeline for crystal structure submissions in LAM Crystal Philately: pre-submission validation, random sampling quality check, and final evaluation with LAM-based energy calculations. The process includes: (1) an optional pre-submission phase, where original structures can be optimized using LAM to improve submission validity; (2) a sampling phase for quality checking the submissions; and (3) a final evaluation phase, where deduplication, scoring, and database ingestion take place.

🚨Challenges article alert!🚨

In this paper, Zhang, Wang and coworkers describe the #OpenLAMChallenges, competitions designed to benchmark #machinelearning methods and accelerate ML-driven discovery. Read the #MachineLearningScienceandTechnology article here: bit.ly/3TTlZtP 1/2

📢 Materials scientists, we want your answers!

Contribute to our new Open Questions series by answering Aron Walsh’s question: Can AI design truly novel materials?

✍️ Add your voice with a perspective, review, or research article: ow.ly/ouzL50Whkky

#MaterialsScience #AI #OpenScience

🤖 Artificial Intelligence is increasingly shaping research. Our new journal, AI for Science, will showcase peer-reviewed, open-access research in this emerging and rapidly growing research field.

Read our editorial to discover the future of science🚀: iopscience.iop.org/article/10.1...

🦾 #InverseProblems meet #MachineLearning: Stochastic optimization techniques, born in the era of big data, are now revolutionizing variational regularization in imaging.

Read the full article here: bit.ly/4n1tUTc

Feeling overwhelmed by the publishing process?

📒Sign up for our free guide: ow.ly/8Kk150Vyf5A

Get expert advice, essential tools, and tips to boost your research impact.

Click to sign up and streamline your journey to publication success!

#ScientificResearch #ResearchPublishingTips

⚛️Great #MachineLearningScienceandTechnology paper on Multi-target property prediction and #optimization using #LatentSpaces of #generativemodel

From @samikaski.bsky.social & @aalto.fi & @orionpharma.bsky.social researchers

Paper ➡️ bit.ly/4ndky7c
#DrugDiscovery #ML #molecular #graphgeneration

🚀 The Koopman operator is revolutionizing how we understand nonlinear systems—by turning them into linear ones! Infinite-dimensional, data-driven, and incredibly powerful.

Read more here: bit.ly/3SSqdkY

#KoopmanOperator #DynamicalSystems #ComplexSystems

Peer review excellence training and certification - IOP Publishing Peer Review Excellence: training and certification We offer the world’s first peer review certification programme dedicated to the physical sciences. ‘Peer Review Excellence: training and certificatio...

Join more than 6,000 fellow researchers who have graduated on our free and rigorously assessed course.

Become an IOP #PeerReview Excellence graduate this weekend!

👉Get started today - ow.ly/nvW150VLnvw
#EarlyCareerResearcher

@viti-vitines.bsky.social and coauthors develop a new #MachineLearning algorithm called "logic replicant" to tackle the problem of multiclass classification with small datasets. #MachineLearningScienceandTechnology

Read the article here: bit.ly/3ZK5KCF