
A multidisciplinary, #openaccess journal devoted to the application and development of #machinelearning for the sciences. Published by @IOPPublishing.
Bristol, UK
Joined October 2019
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We are now on Bluesky!
Follow our account @iopp-mlresearch.bsky.social on Bluesky for more #MachineLearning and #AI research
Congratulations to all recipients of our Outstanding Reviewer Awards! 🎉Your commitment, timeliness, quality, & quantity of reports is celebrated across our journals. Let's celebrate all #PeerReview contributions that uphold #ResearchIntegrity
Discover 👉 ow.ly/tb9850VkHNn
📣Join us on April 27, for the "AI-driven discoveries: Machine Learning for the Physical Sciences" workshop. This international event will bring together top researchers to discuss the role of #AI and machine learning in advancing physical sciences. ow.ly/iLsf50V2Kvk #AI
✨Become an IOP Peer Review Excellence graduate this month! With more than 4,300 researchers already signed up to our free and rigorously assessed online course, come and take a look today - ow.ly/Hi0450V0ePT
#EarlyCareerResearcher #PhysicalScience #PeerReview
👋 Are you an #EarlyCareerResearcher looking to gain #PeerReview experience, or an experienced supervisor eager to support the next generation? We've got you covered! Find out more 👇
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🦾Discover what our new journal 'Machine Learning: Engineering' contributes to the #MachineLearning and #AI landscape! Our Editor-in-Chief shares key insights about our exciting new journal which is now open for submissions! ow.ly/7hf050Ulu80
What does 'Machine Learning: Earth' bring to the world of #MachineLearning and #AI? Our Editor-in-Chief highlights what this new journal is about.
Now open for submissions! ow.ly/MqOy50UltPZ #MLjournal
Great new work by @aristana_s @OwenPriceSkelly @BenBlaiszik et al @UWMadisonMSE @UWMadEngr @globus @argonne @UChicagoCS - '#Machinelearning materials properties with accurate predictions.....' - iopscience.iop.org/article/1… #materials #materialsdiscovery #compchem #datascience #AI
A great new review by @UllahArif_Hkt @PavloDral @xmuchina @UMK_Torun - 'Molecular #quantum chemical #datasets and databases for #machinelearning potentials' - iopscience.iop.org/article/1… #compchem #quantumchemistry #molecules #DFT #AI #bigdata #materials #drugdiscovery #informatics
Great new work by @drasinghbhatia and David E Bernal Neira @PurdueChemE @PurdueEngineers @USRAedu @NASAAmes - 'Federated learning with #tensornetworks: a #quantum #AI framework for #healthcare' - iopscience.iop.org/article/1… #machinelearning #quantumcomputing #medicine #imaging #QML
Great new work by @hashimotostring et al @univkyoto - @osaka_univ_e '#Neuralnetwork representation of #quantum systems' - iopscience.iop.org/article/1… #machinelearning #QFT #fieldtheory #stringtheory #statphys #quantummechanics #cosmology
Submit your innovative research today and be part of a community striving for a sustainable future!
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#MachineLearning
Attention researchers! Our new #MachineLearning journals; Engineering, Earth and Health, are now open for submissions! These open access journals invite you to publish your research in machine learning & artificial intelligence across all their relevant disciplines.
Today we want to thank all of our #MachineLearning series Editors-in-Chief. @KyleCranmer, Jay Lee, @PierreGentine and @jimeng. Your support and enthusiasm with our new ML series is contagious! ow.ly/R7zb50U1jaY #MLSeries
We are thrilled to welcome Jimeng Sun to our #MachineLearning series. Jimeng is the Editor-in-Chief of our new journal; Machine Learning: Health. Huge welcome @jimeng ! #MLHealth ow.ly/vlEN50TZgTF
Great new work by @HalBellisario and Tomas Ekeberg @uppsalauni @UU_University - '#Deeplearning phase retrieval in #xray single-particle #imaging for biological #macromolecules' - iopscience.iop.org/article/1… #machinelearning #XFEL #biophysics #spectroscopy #synchrotron #cells #biology
Great new work by Mads-Peter Verner Christiansen @nikolajroenne @Bjork_Hammer @AarhusUni @AarhusUni_int - 'Efficient ensemble uncertainty estimation in #Gaussian processes regression' - iopscience.iop.org/article/1… #machinelearning #materials #compchem #atomistic #DFT #simulation
Great new work by @marceldotsci @spozdn @MicheleCeriotti @lab_COSMO @nccr_marvel @EPFL_en - 'Probing the effects of broken symmetries in #machinelearning' - iopscience.iop.org/article/1… #compchem #materials #statphys #molecules #compphys #simulation #atomistic
Great new work by @susmita2cool @SurajitDas44313 @raghurama123 @TIFRH_buzz - '#Chemicalspace-informed #machinelearning models for rapid predictions of x-ray #photoelectron spectra of organic #molecules' - iopscience.iop.org/article/1… #compchem #spectroscopy #xray #XPS #materials #DFT

















