Read article: Public should be informed of uncertainties in model predictions of COVID-19 spread, say researchers
Probabilities could be conveyed as in weather forecasts
Read article: Matrix factorization algorithms help track neuronal activity
New technique overcomes the problem of strong scattering of light as it passes though opaque biological tissue
Read article: A new way of analysing ‘horizontal visibility graphs’
New study tackles the mathematical foundations of this burgeoning data-analysis technique
Read article: ‘Super-puff’ exoplanets put a ring on it
The unusually low density of some exoplanets may be due to Saturn-like rings rather than clouds of gas
Read article: Speed of spreading epidemics is predicted using analytical technique
“Message passing” approach could lead to better protocols for containing infectious diseases
Read article: Protein aggregation goes catalytic
Mathematical model describes how proteins self-assemble into the amyloid fibrils associated with diseases like Alzheimer’s and Parkinson's
Keep up to date with all of the latest news and research with our mathematics and computational physics subject collection. Helping you to stay informed about the newest publishing developments and the latest papers published in your field of research. Find out more.
Read article: Money from maths
David Appell reviews The Man Who Solved the Market: How Jim Simons Launched the Quant Revolution by Gregory Zuckerman
Read article: Can a machine think?
Susan Curtis reviews The Road to Conscious Machines: the Story of AI by Michael Wooldridge
Read article: A salty solution for the coffee-ring effect
Simple trick of adding salt to a solution could allow engineers to deposit more uniform coatings and dyes
Read article: A broader range of experiments
Anatole von Lilienfeld explains how machine learning is creating new opportunities for research across all areas of the physical sciences
Read article: An uncertain growth
Susan Curtis reviews Growth: From Microorganisms to Megacities by Vaclav Smil
Read article: Classical time crystals could exist in nature, say physicists
Computer simulations show coupled oscillators behave as "activated time crystals"
Read article: Energy efficiency guides lotus leaf growth
Different shapes of lotus leaves grown on and above water are due to mechanical effects, not plant genetics
Read article: Boosting infrared spectroscopy, making complexity a descriptive science, artificial intelligence in medical physics
Our weekly podcast also tackles the thorny issue of graphene standards
Read article: The physics of public opinion
Ever wonder how the public mood can change suddenly? Rachel Brazil investigates how physicists try to predict shifting opinions using physical laws
Read article: Three-body calculations suggest how black holes get close enough to merge
Simulations could explain how a third object could push black holes closer together
Read article: Machine learning could reveal graphene oxide’s real structure
More than 20,000 possible structure candidates are used to find truly representative models
Read article: Voter model examines how opinions spread between social networks
Statistical physics model sheds light on how opinions propagate among and between communities
Read article: A mathematical mindset: Graham Farmelo sings the praises of string theory
Matin Durrani reviews The Universe Speaks in Numbers: How Modern Maths Reveals Nature’s Deepest Secrets by Graham Farmelo
Read article: Bread machines get a much-kneaded physics makeover
Devices with a more highly curved spiral arm or two spiral arms that mimic hand kneading could produce a better-quality dough
Read article: Machine learning stabilizes synchrotron beams
Complex 3D maps of chemical reactions could soon be acquired using better light sources
Read article: Quantum computers could mark their own homework
Protocol estimates the accuracy of quantum calculation without knowing the correct result
Read article: The past, present and future of computing in high-energy physics
Federico Carminati, the chief innovation officer at CERN openlab, assesses how particle physics has shaped (and been shaped by) trends such as big data and machine learning
Read article: How well can biological cells sense their environment?
Mathematical model puts new constraints on fundamental sensing limits
