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Categories: Energy: Nuclear, Mathematics: General
Published Reverse engineering Jackson Pollock



Researchers combined physics and machine learning to develop a new 3D-printing technique that can quickly create complex physical patterns -- including replicating a segment of a Pollock painting -- by leveraging the same natural fluid instability that Pollock used in his work.
Published Monitoring nuclear weapons stockpiles with radio waves



Monitoring whether states are complying with disarmament treaties is not an easy task. An international team has been exploring remote monitoring with the help of two antennas and a couple of mirrors.
Published Machine learning used to probe the building blocks of shapes



Applying machine learning to find the properties of atomic pieces of geometry shows how AI has the power to accelerate discoveries in maths.
Published Groundbreaking mathematical proof: New insights into typhoon dynamics unveiled



A research team has provided irrefutable proof that certain spherical vortices exist in a stable state.
Published Chi-Nu experiment ends with data to support nuclear security, energy reactors



The results of the Chi-Nu physics experiment at Los Alamos National Laboratory have contributed essential, never-before-observed data for enhancing nuclear security applications, understanding criticality safety and designing fast-neutron energy reactors.
Published Sperm swimming is caused by the same patterns that are believed to dictate zebra stripes



Patterns of chemical interactions are thought to create patterns in nature such as stripes and spots. This new study shows that the mathematical basis of these patterns also governs how sperm tail moves.
Published Milestone for novel atomic clock



An international research team has taken a decisive step toward a new generation of atomic clocks. The researchers have created a much more precise pulse generator based on the element scandium, which enables an accuracy of one second in 300 billion years -- that is about a thousand times more precise than the current standard atomic clock based on caesium.
Published Machine learning unravels mysteries of atomic shapes


New research has used machine learning to find the properties of atomic pieces of geometry, in pioneering work that could drive the development of new results in mathematics.
Published Machine learning models can produce reliable results even with limited training data


Researchers have determined how to build reliable machine learning models that can understand complex equations in real-world situations while using far less training data than is normally expected.
Published Groundbreaking research shows that the limits of nuclear stability change in stellar environments where temperatures reach billions of degrees Celsius



New research is challenging the scientific status quo on the limits of the nuclear chart in hot stellar environments where temperatures reach billions of degrees Celsius.
Published Are US teenagers more likely than others to exaggerate their math abilities?


A major new study has revealed that American teenagers are more likely than any other nationality to brag about their math ability.
Published Evolution wired human brains to act like supercomputers


Scientists have confirmed that human brains are naturally wired to perform advanced calculations, much like a high-powered computer, to make sense of the world through a process known as Bayesian inference.
Published New super-fast flood model has potentially life-saving benefits


Researchers have developed a new simulation model, which can predict flooding during an ongoing disaster more quickly and accurately than currently possible.
Published What do neurons, fireflies and dancing the Nutbush have in common?


Synchronicity is all around us, but it is poorly understood. Computer scientists have now developed new tools to understand how human and natural networks fall in and out of sync.
Published Electrical noise stimulation applied to the brain could be key to boosting math learning


Exciting a brain region using electrical noise stimulation can help improve mathematical learning in those who struggle with the subject, according to a new study.
Published Exploring light neutron-rich nuclei: First observation of oxygen-28


The neutron-rich oxygen isotopes oxygen-27 and oxygen-28 exist as very short-lived resonances, report scientists based on the first observation of their decay into oxygen-24 and three and four neutrons, respectively. Notably, the oxygen-28 nucleus is found not to be 'doubly magic' as expected in the standard shell-model picture. This study provides valuable insights into the nuclear structure.
Published Quantum computer unveils atomic dynamics of light-sensitive molecules


Researchers have implemented a quantum-based method to observe a quantum effect in the way light-absorbing molecules interact with incoming photons. Known as a conical intersection, the effect puts limitations on the paths molecules can take to change between different configurations. The observation method makes use of a quantum simulator, developed from research in quantum computing, and offers an example of how advances in quantum computing are being used to investigate fundamental science.
Published Researchers use mathematical modeling and dynamic biomarkers to characterize metastatic disease during adaptive therapy


Researchers demonstrate how mathematical modeling combined with dynamic biomarkers can be used to characterize metastatic disease and identify appropriate therapeutic approaches to improve patient outcomes.
Published Researchers develop a unique quantum mechanical approach to determining metal ductility


A team of scientists developed a new quantum-mechanics-based approach to predict metal ductility. The team demonstrated its effectiveness on refractory multi-principal-element alloys.
Published Scientists uncover a surprising connection between number theory and evolutionary genetics


An interdisciplinary team of mathematicians, engineers, physicists, and medical scientists has uncovered an unexpected link between pure mathematics and genetics, that reveals key insights into the structure of neutral mutations and the evolution of organisms.