👋Are you an #EarlyCareerResearcher looking to build your confidence in peer review? Join 7000+ researchers ✨ who have graduated on our free course '#PeerReview Excellence: training and certification'...specifically designed for the #PhysicalScience researcher. 👉Take a look https://ow.ly/ilaa50Z39ro

👋Are you an #EarlyCareerResearcher looking to build your confidence in peer review? Join 7000+ researchers ✨ who have graduated on our free course '#PeerReview Excellence: training and certification'...specifically designed for the #PhysicalScience researcher. 👉Take a look https://ow.ly/ilaa50Z39ro

🌟 Play your part & support your research community ✔️ Advance your career through recognised scholarly service. ✔️ Stay at the forefront of the latest discoveries. ✔️ Gain rewards & recognition for your contribution. Discover how ➡️ https://ow.ly/2tnt50YWvHo #PeerReview #EarlyCareerResearcher

Help shape the research driving #MachineLearning forward. We have #EditorialBoard Member opportunities across some of our Machine Learning journals. ➡️ Visit our Editorial Board #vacancies page to learn what’s involved and how to apply: https://ow.ly/5yZW50YKuGI

Presenting MOSES, a new AI system designed to reason about chemical knowledge clearly and transparently. Instead of acting like a black box, it shows how it reaches its answers. Curious? Find out more 👉 https://ow.ly/PozO50YWqS5

Want to save time by steering clear of common publishing mistakes? Sign up for your free guide with practical steps and advice which will help you submit more efficiently. Get it here: https://ow.ly/VQz450YIcO8

🚀 Call for papers: AI‑driven catalytic materials design Publishing AI for faster catalyst discovery, optimisation & sustainability. ✅ Open access | ✅ No fees 📅 Deadline: 31 Aug 2026 Start your publishing journey 👉 https://ow.ly/H9Qt50YT77l

Introducing QCell: 525k high‑quality QM biomolecular calculations, built to power next‑gen ML force fields. Explore 👉 https://ow.ly/Yhnv50YOTCm

⚛️ Don’t miss this live panel discussion, spotlighting experts in Quantum Metrology, presented by Physics World LIVE in partnership with Reports on Physics in Progress. 📅 Thursday 30 April | ⏰ 4 PM BST 👉 Register now: https://ow.ly/4KRz50YOn27

Fast ionic conduction has a Raman fingerprint 🔬⚡ This study from AI for Science uses ML‑accelerated Raman calculations to reveal liquid‑like ion motion in solid electrolytes, enabling accurate, data‑efficient discovery of fast‑ion conductors for solid‑state batteries. 🔋 https://ow.ly/iXbv50YGURa

Want more clarity as you move through the publishing process? Our guide can support you. Offering straightforward steps, and practical advice that helps you to avoid common errors and feel more confident in your submission. Sign up for your copy: https://ow.ly/ZVXu50Y7uFE #ResearchTips

📣 Call for Posters Share your research at Progress in Quantum Machine Learning (PQML) 2026. Posters welcomed across quantum ML, quantum computing, materials, physics, chemistry & algorithms. 🗓 Deadline: 30 April 2026 📍 Event 10 May 2026 | Beijing + Online 👉 Submit here: https://ow.ly/PYPw50YBMXj

Join us in celebrating exceptional reviewers! 🎉 Each year, our journal editorial teams select recipients for our Outstanding Reviewer Awards - recognising quality, quantity and timeliness of the report they completed. Explore the full list 🙌 https://ow.ly/pf1w50YwRTe #ResearchIntegrity

The new issue of AI for Science is out now, featuring advances in ML‑accelerated Raman analysis, explainable chemical reasoning, and data‑driven design of metallic glasses. 🔓 All articles are gold open access and free to read 👉 https://ow.ly/mH6I50YyE6I

Join global experts at #PQML2026 — a one-day workshop on the future of quantum machine learning at Tsinghua University and online. Supported by ROPP, QST and MLST. Be part of the next wave of quantum discovery. Register now: https://ow.ly/9vuX50YwqgR #QuantumMachineLearning #QuantumComputing

🆕🌟Introducing Machine Leaning: Science and Technology's first roadmap 👉 Roadmap on fast machine learning for science. Unlock the roadmap: https://ow.ly/sVO950Ywji3 #machinelearning #ai #fastmachinelearning

🚀 Introducing TorchSim: a PyTorch‑native engine for fast, batched atomistic simulation with major MLIP speedups and differentiable MD. Ideal for high‑throughput materials research. Find out more 👉 https://ow.ly/4xYm50Yvamx

If the publishing process feels unclear, our free guide can help you move forward with more confidence. You’ll get practical steps, journal selection advice and simple tips to avoid common pitfalls. Sign up to get your copy: https://ow.ly/prgH50Y7uxQ #AcademicPublishing #ResearchTips

✨ Spring into March with a boost to your peer review confidence. Whether you're new to the process or ready to sharpen your #PeerReview expertise, our free online course has you covered. 📚 Come and take a look 👇https://ow.ly/OZMk50YlLiS #EarlyCareerResearcher

📢 Open for submissions: Focus Collection on ​Augmented Intelligence for #SmartManufacturing​ This Focus Collection aims to shine a spotlight on innovations in augmented intelligence for the future of smart manufacturing. Learn more 👉 https://ow.ly/CvG450Y9bQ3 #MachineLearning

💡Recent highlight in JPhys Complexity: This review compares different machine learning models for discovering equations from data Francisco Rodrigues 👉 Read the full review: https://ow.ly/TK5t50YhCs6

🔖This focus issue aims to showcase the role of #MachineLearning in deepening and expanding our physical understanding of chemical processes in systems of current scientific and technological interest. Available to read and download now 👉https://ow.ly/Heb850YhyBW

📢 OPEN FOR SUBMISSIONS 👉 This focus collection invites submissions that explore the integration of AI and machine learning in #geophysical sciences. Find out more: https://ow.ly/VoMz50Y9bpf #MachineLearning

🌟 Help uphold the high standards of research we’re proud to publish! Become a peer reviewer and...✔️ advance your career ✔️ stay up to date with the latest developments in your field ✔️ enjoy rewards & recognition. Discover more ➡️ https://ow.ly/cPFZ50Y1I6G #PeerReview #EarlyCareerResearcher

🆕Open for submissions: Focus Collection on Foundation Models and LLMs for Life Sciences This collection is looking for high-quality research at the intersection of multi-modal learning, foundation models, LLMs, & life sciences. Could this be your research? Find out more: https://ow.ly/hrMu50Y9b3g

ML for #MaterialsEngineering 👇 The integration of ML into materials engineering is transforming how we design, model, and characterize materials. This collection aims to highlight advances in techniques developed for solving materials engineering problems. Learn more: https://ow.ly/HE1q50Y9bzj

📈Dataset articles—helping you understand how to use and interpret data more efficiently. These articles are set apart by their description on why a dataset was created and why it is important for advancing science. Learn more: https://ow.ly/3LHz50Yelhb #LoveDataWeek #MachineLearning

⛅Looking to publish your #AI for #ClimatePrediction research? Why not consider a Machine Learning: Earth focus collection. 'Focus collection on AI for Weather and Climate Prediction' is now open for submissions. Find out more 👉 https://ow.ly/uBPv50Y9bkf

🔓Find a home for your #AI for healthcare research in an ML Health focus collection 👇 This collection seeks to explore how generative, foundation, and agentic AI systems can be safely and effectively developed, evaluated, and deployed in healthcare. Find out more 👉 https://ow.ly/m3hu50Y9aUK

Want clearer steps for publishing your research? Get your free guide that could help you to avoid errors, choose the right journal and move through each publishing stage with confidence! Sign up for your copy here: https://ow.ly/bvmk50Y7tX8