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Since the COVID-19 pandemic began, there's been oodles of interesting research into the disease and how it spreads. This week we've covered a particularly intriguing new paper in the IOP Publishing journal Machine Learning Science & Technology, which shows how computers could halt a future pandemic by indicating which individuals should be tested for the disease. Though the model has yet to be tested under real-world conditions, it could be useful in the early stages of an epidemic, when tests are scarce and little is known about how a new disease spreads. Matin Durrani, editor-in-chief, Physics World

THIS WEEK'S HEADLINES

Environment and energy, Everyday science | Research update Real-world tests of hybrid cars show higher-than-expected emissions Failure to charge vehicles frequently enough blamed for excess Everyday science, Modelling and simulation | Research update Machine learning could help slow epidemic spread Neural network outperforms standard contact tracing at choosing who to test for disease Biomedical devices | Research update Researchers develop breath test for rare inherited disorder A novel breath test assesses the severity of the rare disorder methylmalonic acidemia and patients' response to transplant surgery Earth sciences, Telescopes and space missions | Research update Melting glaciers have been shifting the Earth's poles since 1995, new study suggests Movement of water from land to the oceans is affecting our planet's rotation Neural engineering | Research update BrainGate: untangling the brain–computer interface First human trial of a wireless brain–computer interface demonstrates functional equivalence to wired devices, enabling patients to use it in their own homes Condensed matter, Instrumentation and measurement | Research update Pulsed lasers probe beyond titanium dioxide's surface Two-photon photoemission studies electrons deep in sample

EXPLORE MORE

Metrology, Particle and nuclear | Podcast Quantum birds inspire new metrology for biosciences, particle physicist searches for the very small In this podcast we talk about measuring tiny masses and magnetic fields Education and outreach | Opinion and reviews Why now is the time to change bad exam habits Paolo Elias says that the COVID-19 pandemic offers the chance to revamp how we assess physics students at school and college Culture, history and society | Opinion and reviews Surprising physics that we depend on for existence David Appell reviews Seven Pillars of Science: the Incredible Lightness of Ice, and Other Scientific Surprises by John Gribbin Materials | Interview China's Beijing Graphene Institute looks to accelerate the 'graphene era' Zhongfan Liu, founding president of Beijing Graphene Institute, describes how the institute is pioneering the industrialization of new graphene materials

OUR LATEST WEBINARS You can explore our full selection of webinars on our website.

Medical physics, Sponsored | Webinar Independent QA and the necessity of data access Join the audience for a live webinar on 12 May 2021 sponsored by Sun Nuclear Corporation Materials, Sponsored | Webinar Synchrotron characterization of buried interfaces in solid-state batteries Join the audience for a live webinar on 5 May 2021 sponsored by Hiden Analytical, in partnership with The Electrochemical Society

VACANCIES FROM PHYSICS WORLD JOBS

Senior Physicist/Physicist, Sweden Application Engineer South Korea (Physics, EE), South Korea Detector Electronics Expert, Sweden Severo Ochoa Excellence Program Postdoctoral Fellowships, Spain Particle Physicist, Germany Postdoctoral Research Associate – Materials Theory, US Data Scientist/Software Developer, UK Assistant Professor in Subatomic Physics, Canada Cryo Engineers, Finland Postdoctoral Research Assistant, US

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