A multidisciplinary, #openaccess journal devoted to the application and development of #machinelearning for the sciences. Published by @IOPPublishing.

Bristol, UK
We are now on Bluesky! Follow our account @iopp-mlresearch.bsky.social on Bluesky for more #MachineLearning and #AI research
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BIG NEWS! We're delighted to announce @KyleCranmer @datascience_uw @UWMadison as our new Editor-in-Chief!😀A huge thanks to @ProfvLilienfeld for your amazing job as EiC over the last 4yrs👏- we're super happy that you'll remain on our Ed Board! #machinelearning #compchem #HEP #AI
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@MLSTjournal is now ranked in Q1 of the JCR with a first IF of 6.013. Thanks to all of our Board members, authors and supporters for making this happen - we look forward to serving the #machinelearning community for years to come! #AI #compchem #quantum #materials #compphys #HEP
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Yet another new milestone: 'Prediction of chemical reaction yields using #deeplearning' by @pschwllr @acvaucher @teodorolaino @jrjrjlr @reymondgroup @DCBunibern @IBMResearch now hits 7000 downloads! bit.ly/31CAbMI #machinelearning #compchem #Bioinformatics #bigdata #AI
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'Automatic differentiation to simultaneously identify #nonlinear #dynamics and....' by @eigensteve Kadierdan Kaheman and J Nathan Kutz @UW @ME_at_UW @uwengineering @uwescience hits 1000 downloads! bit.ly/3CniLFk #machinelearning #AI #noise #openscience #networks #HPC
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We've just passed 4000 followers🥳!Thanks to all of our supporters including Board members @ProfvLilienfeld @A_Aspuru_Guzik @zdeborova @KyleCranmer @gppcarleo @corminboeuf_lab @ElenaCuoco @FrankNoeBerlin @LucasLamata @cosmo_shirley @xmpierinix @tristanbereau #machinelearning #AI
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Hello Twitter! Introducing Machine Learning: Science and Technology @IOPPublishing ow.ly/BwYq50wFA08 #MachineLearning #openaccess
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Another milestone for @MLSTjournal - we've just passed 7K followers!🥳Thanks again to all of our Board members and supporters! @KyleCranmer @A_Aspuru_Guzik @ProfvLilienfeld @gppcarleo @corminboeuf_lab @zdeborova @ElenaCuoco @FrankNoeBerlin @keeeto2000 #compchem #machinelearning
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We've just passed 5000 followers!🥳Huge thanks to all of our supporters including Board members @ProfvLilienfeld @A_Aspuru_Guzik @gppcarleo @FrankNoeBerlin @zdeborova @ElenaCuoco @LucasLamata @KyleCranmer @cosmo_shirley @ramav_matsci @corminboeuf_lab #machinelearning #compchem
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We're thrilled to announce that MLST has been accepted for indexing in Scopus and Web of Science Core Collection. This achievement recognises its high editorial standards and impactful research publications. Visit the journal homepage for more information: ow.ly/Y15G50EZHPD
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Great new work by @PeteWirnsberger @gpapamak @BlundellCharles B Ibarz, S Racanière, A J Ballard and A Pritzel @DeepMind - 'Normalizing flows for atomic solids' - bit.ly/3PqmHeJ #machinelearning #statphys #flows #materials #moleculardynamics #openscience #dynamics #AI
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As we celebrate our first anniversary on Twitter we've just passed 2000 followers! Thanks to our supporters and Board members including @ProfvLilienfeld @A_Aspuru_Guzik @gppcarleo @KyleCranmer @ElenaCuoco @FrankNoeBerlin @cosmo_shirley @LucasLamata #MachineLearning #openaccess
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NOW >4000 DOWNLOADS!🥳'Data-driven discovery of #Koopman eigenfunctions for #control' by @eigensteve Eurika Kaiser and J Nathan Kutz @UW @ME_at_UW @uwengineering @uwescience @AFResearchLab bit.ly/35t8ecg #machinelearning #dynamics #fluids #nonlinear #AI #HPC #openscience
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Another milestone: 'Data-driven discovery of #Koopman eigenfunctions for #control' by @eigensteve Eurika Kaiser and J Nathan Kutz @UW @ME_at_UW @uwengineering @uwescience @AFResearchLab hits 2000 downloads! bit.ly/35t8ecg #machinelearning #dynamics #datascience #opendata
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Read this great new work by @ProfvLilienfeld and @AndersSChristen @nccr_marvel - 'On the role of gradients for machine learning of molecular energies and forces' - bit.ly/3dX9bNs #MachineLearning #compchem #quantum #BigData #OpenAccess
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Yet another new milestone: 'Prediction of chemical reaction yields using #deeplearning' by @pschwllr @acvaucher @teodorolaino @jrjrjlr @reymondgroup @DCBunibern @IBMResearch now hits 8000 downloads! bit.ly/31CAbMI #machinelearning #compchem #Bioinformatics #NLP #opendata
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NOW >3K DOWNLOADS!🥳'Automatic differentiation to simultaneously identify #nonlinear #dynamics and....' by @eigensteve Kadierdan Kaheman and J Nathan Kutz @UW @ME_at_UW @uwengineering @uwescience - bit.ly/3CniLFk #machinelearning #AI #noise #control #neuralnetworks #HPC
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'Machine learning the computational cost of quantum chemistry' by @ProfvLilienfeld @MaxSchwilk and co-workers @nccr_marvel @UniBasel hits 2000 downloads! bit.ly/3gWnD8L #compchem #machinelearning #quantum #openaccess
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More great work by Alexander Goscinski, Giulio Imbalzano @MicheleCeriotti and @__luthaf__ @nccr_marvel @lab_COSMO @snsf_ch - 'The role of feature space in atomistic learning' - bit.ly/32lI8Gg #compchem #machinelearning #materials #bigdata #datascience #AI
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Great new work by Ivana Nikoloska, Osvaldo Simeone, Leonardo Banchi and @PetarV_93 @TUeindhoven @GoogleDeepMind @fisica_UNIFI - 'Time-warping invariant #quantum recurrent #neuralnetworks via quantum-classical....' - iopscience.iop.org/article/1… #machinelearning #AI #quantumcomputing
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'PyXtal_FF: a #python library for automated force field generation' by H Yanxon, D Zagaceta, B Tang, D S Matteson and Q Zhu @UNLVresearch @CornellDSDS hits 2000 downloads! bit.ly/3p4ygKV #pythonprogramming #machinelearning #datascience #opendata #compchem #PyTorch #code
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'PyXtal_FF:a #python library for automated #forcefield generation' by H Yanxon, D Zagaceta, B Tang, D S Matteson and Q Zhu @UNLVresearch @CornellDSDS hits 3000 downloads! bit.ly/3p4ygKV #pythonprogramming #machinelearning #neuralnetworks #opendata #compchem #condmat #DFT
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'A #machinelearning workflow for molecular analysis: application to melting points' by @A_Aspuru_Guzik @ganesh_S20 @beangoben @venkvis @alvarovmoficial @VectorInst @UofTCompSci @CIFAR_News hits 4400 downloads! bit.ly/2Xh2wGt #compchem #materials #quantum #compbio #AI
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@MLSTjournal publishes first content! Read for free via the journal website: ow.ly/gDb050ydipq Congrats and thanks to all authors, reviewers, and Editorial Board inc. @ProfvLilienfeld @A_Aspuru_Guzik @gppcarleo @KyleCranmer @ElenaCuoco @corminboeuf_lab @FrankNoeBerlin et al
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'PyXtal_FF: a #python library for automated force field generation' by Howard Yanxon, David Zagaceta, Binh Tang, David S Matteson and Qiang Zhu @UNLVresearch @CornellDSDS hits 1500 downloads! bit.ly/3p4ygKV #pythonprogramming #machinelearning #datascience #compchem #AI
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With special thanks to our fantastic Editorial Board including @KyleCranmer @A_Aspuru_Guzik @zdeborova @gppcarleo @ElenaCuoco @FrankNoeBerlin @corminboeuf_lab @ProfvLilienfeld @cosmo_shirley @xmpierinix @keeeto2000 @olexandr @ramav_matsci @wangleiphy @tristanbereau @jhhalverson
SEASON'S GREETINGS from @MLSTjournal! Thanks to our Board members, authors and reviewers for supporting us in 2022.🙏 We look forward to serving the #MachineLearning community next year! #quantum #compchem #AI #materials #neuralnetworks #openscience #bigdata #HPC #HEP #physics
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@MLSTjournal is now ranked in Q1 of the JCR with a first IF of 6.013. Thanks to all of our Board members, authors and supporters for making this happen - we look forward to serving the #machinelearning community for years to come! #AI #compchem #quantum #materials #compphys #HEP
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Introducing our Editorial Board… Alán Aspuru-Guzik, University of Toronto, Canada @A_Aspuru_Guzik Research interests: ML for inverse molecular design, generative models for molecules, Bayesian methods, quantum ML #machinelearning #artificialintelligence
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'Thousands of reactants and transition states for competing E2 and SN2 reactions' by @ProfvLilienfeld @ferchault @Heini_dppf and M Bragato @nccr_marvel @UniBasel now hits 2000 downloads! bit.ly/3myzf4k #compchem #machinelearning #quantum #Deeplearning #catalysis #bigdata
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'A #machinelearning workflow for molecular analysis: application to melting points' by @A_Aspuru_Guzik @ganesh_S20 @beangoben @venkvis @alvarovmoficial @VectorInst @UofTCompSci hits 1300 downloads! #openaccess in @MLSTjournal at bit.ly/2Xh2wGt #compchem #DataScience #AI
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'Symmetric and antisymmetric kernels for #machinelearning problems in #quantum #physics and chemistry' by @FrankNoeBerlin S Klus, P Gelß and F Nüske @FU_Berlin @unipb @RiceUniversity @bifoldberlin @MATHplusBerlin hits 2000 downloads! bit.ly/3fD9uPz #compchem #AI #bigdata
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