Black hole singularities should not exist, according to theories of quantum mechanics. New tweaks to Einstein's equations of general relativity could finally do away with them, and explain what truly ...
The evolution of quantum mechanics has continuously deepened our understanding of the microcosm, guiding researchers from the seminal formulation of the Schrödinger equation to more refined ...
Pictured: Water whirls. Solutions to the Navier-Stokes equations make it possible to predict the behaviour of liquids under a variety of conditions, from the motion of the oceans, to the flow of blood ...
What if the flow of time isn’t as one-way as it seems? Researchers from the University of Surrey have uncovered evidence that in the strange world of quantum physics, time could theoretically run both ...
"This work is a step toward understanding how quantum mechanics and gravity work together, a major unsolved problem in physics." When you purchase through links on our site, we may earn an affiliate ...
Morning Overview on MSN
What physics really says about time travel possibilities
Time travel has shifted from pure fantasy to a serious, if highly constrained, topic in modern physics. The equations that describe gravity, quantum fields and the structure of spacetime now allow ...
Physicists have transformed a decades-old technique for simplifying quantum equations into a reusable, user-friendly "conversion table" that works on a laptop and returns results within hours. When ...
If you asked a thousand physicists, they would all disagree. This statement could apply to any number of topics – whether the universe is infinite, what dark matter is made of, how to make wires ...
Morning Overview on MSN
Ramanujan’s π equations are helping physicists decode nature
More than a century after Srinivasa Ramanujan scribbled his astonishing formulas for π in notebooks in India and England, ...
One of the most complex quantum networks built to date would allow 18 people to communicate securely thanks to the power of quantum physics. The researchers behind the work say it offers a practical ...
Physics-informed neural networks (PINNs) represent a burgeoning paradigm in computational science, whereby deep learning frameworks are augmented with explicit physical laws to solve both forward and ...
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