❓💡What inspires you to engage in peer review?
In our quest to grasp the underlying motivations for peer reviewing, we’ve asked the community! Delve into our report to discover the compelling views shared by more than 3000 reviewers - ow.ly/Im2b50RAhFW
#PeerReview

IOP Publishing launches the 'State of peer review 2024' report, providing a valuable insight into the motivations and experiences of peer reviewers around the globe.

Find out more: ioppublishing.org/state-of-peer-…
#PeerReview

Looking to publish in a high-impact journal?

When you publish with Reports on Progress in Physics, as part of a society-owned publisher, 100% of our profit goes towards scientific good. ROPP also offers hybrid publishing options & APC waivers.

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Great new work by Mohammad Yazdani-Asrami Antonio Morandi et al UofG Engineering Università di Bologna - 'A comprehensive #machinelearning -based investigation for the index-value prediction of 2G HTS coated conductor #tapes ' - iopscience.iop.org/article/10.108… #materials #superconductivity #devices #AI #magnets

Towards XAI agnostic explainability to assess differential diagnosis for Meningitis diseases doi.org/10.1088/2632-2… via Machine Learning: Science and Technology

Great new work by Javier E. Santos Hari Viswanathan, Nicholas Lubbers et al Los Alamos National Laboratory - 'Learning a general model of single phase #flow in complex 3D #porousmedia ' - iopscience.iop.org/article/10.108… #machinelearning #complexity #fluids #materials #geoscience #statphys #nonlinearity

Great new work by Leonardo Banchi Dipartimento di Fisica e Astronomia - UNIFI Università di Firenze INFN - 'Accuracy vs memory advantage in the #quantum #simulation of #stochastic processes' - iopscience.iop.org/article/10.108… #machinelearning #QML #algorithms #complexity #AI #tensornetworks #statphys

🌟 Exciting news for researchers in electrochemistry! Our journal is hosting a focus issue on cutting-edge research in electrocatalysts for renewable energy conversion and storage. Submit your work now! ➡️
ow.ly/yi0R50RAr82?

Part of iopscience.iop.org/collections/nc…, this article from Zhaoqi Chen, Alia Nasrallah and Ralph Etienne-Cummings (JHU ECE) shows implementation for spatial encoding neurons in Si forming a biologically plausible network that could power dynamic neuromorphic SLAM:
iopscience.iop.org/article/10.108…

Great new work by Tufan Çakır Ana Guilherme Buzanich Franziska Emmerling et al BAM_DE Ruhr-Universität Bochum TU Wien-' #Machinelearning for efficient grazing-exit #xray absorption.... #spectroscopy analysis.....'-iopscience.iop.org/article/10.108… #materials #structures #AI #chemistry #Bayesian #optimization .

Great new work by Steven Dahdah and James Richard Forbes DECAR McGill Faculty of Engineering McGill University - 'Closed-loop #Koopman operator approximation' - iopscience.iop.org/article/10.108… #machinelearning #complexsystems #control #nonlineardynamics #robotics #automation #engineering #AI

Great new work by Narendra Hegade Alejandro G Enrique Solano José D. Martín et al Kipu Quantum ETSE-UV IDAL Quantum Spain valgrai-' #Physics -informed #neuralnetworks for an optimal counterdiabatic #quantumcomputation '-iopscience.iop.org/article/10.108… #machinelearning #PINNs #AI #QML

Great new work by Daniele Soccodato et al Synopsys QuantumATK ISMN CNR Università di Roma Tor Vergata -'Machine learned environment dependent corrections for a spds empirical tight-binding basis' - iopscience.iop.org/article/10.108… #machinelearning #electronicstructure #condmat #compchem #materials #AI #atomistic

Great new work by C Belinchon and M Gallucci IMT Atlantique Inria FIUBA UBAonline -'A multiscale and multicriteria generative adversarial #network to....turbulent fields'- iopscience.iop.org/article/10.108… #machinelearning #turbulence #complexity #statphys #nonlineardynamics #AI

Florent De Geeter, Damien ERNST & Guillaume Drion (@UniversiteLiege) modify the dynamics of an easily trainable recurrent neural network, making it event-based. This Spiking Recurrent Cell communicates using spikes while being completely differentiable:
iopscience.iop.org/article/10.108…

Exciting 🤩 The Electronic Structure (EST) 2024 Emerging Leaders focus issue is now open for submissions. Submission deadline is 12/31/2024, scope is broad, PhD 2014 or later (10 yrs excluding career breaks). More info: iopscience.iop.org/collections/es…

This open-access review explores active polymers in complex settings.

It delves into the fundamental physics underlying the adaptive/collective behaviours far from equilibrium, as well as some of the current challenges in the field.

🔗ow.ly/4FLf50RqRge

Our #paper on predicting maize yield in the US Midwest received an IOP Publishing #TopCitedPaper Award. Our study offered a comprehensive assessment of crop yield forecasting with #MachineLearning and #DeepLearning approaches.
Full interview and article: ioppublishing.org/north-americas…

Part of iopscience.iop.org/collections/nc…, This paper from Nishith Chakaborty, Catherine (Katie) Schuman, and colleagues from UT Knoxville provides an assessment of Spike-Timing-Dependent Plasticity, looking at applications such as classification, control, and reservoir computing
iopscience.iop.org/article/10.108…

Great new work by Ihda Chaerony Siffa Markus M. Becker Klaus-Dieter Weltmann and Jan Trieschmann INP Greifswald Universität Kiel CAU 🎓 - 'Towards a machine-learned #Poisson solver for low-temperature #plasma #simulations in complex geometries' - iopscience.iop.org/article/10.108… #machinelearning #AI #PDEs