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Nobel Prize in Physics 2024
The Nobel Prize in Physics 2024 has been awarded to John J. Hopfield and Geoffrey E. Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural networks”.
Image: Springer Nature/The Nobel Foundation/Imagesource -
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CERN at 70
On 29 September 1954, the European Organization for Nuclear Research came formally into existence, growing out of the post-war turmoil with the aim of establishing scientific collaboration between nations.
Image: Susanne Harris/CERN -
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Physics as a human endeavour
Doing physics is messy and being a physicist is even more complicated. Today
Image: Susanne Harris/Springer Nature Limited -
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Nobel Prize in Chemistry 2023
The 2023 Nobel Prize in chemistry has been awarded to Moungi G. Bawendi, Louis E. Brus and Alexei I. Ekimov for the discovery and synthesis of quantum dots.
Image: Springer Nature/The Nobel Foundation/Imagesource -
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Nobel Prize in Physics 2023
The Nobel Prize in Physics 2023 has been awarded to Pierre Agostini, Ferenc Krausz and Anne L’Huillier “for experimental methods that generate attosecond pulses of light for the study of electron dynamics in matter“.
Image: Springer Nature/The Nobel Foundation/Imagesource -
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15 years of topological matter
15 years ago, topological insulators were discovered, marking the start of a new branch of condensed matter physics.
Image: GMVozd/E+ -
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Physics and sustainability
Physics research comes with an environmental cost. It can also have many benefits.
Image: Susanne Harris, Springer Nature Limited -
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Nobel Prize in Physics 2022
The Nobel Prize in Physics 2022 has been awarded to Alain Aspect, John F. Clauser and Anton Zeilinger “for experiments with entangled photons, establishing the violation of Bell inequalities and pioneering quantum information science”.
Image: Springer Nature/The Nobel Foundation/Imagesource -
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The Higgs boson discovery turns ten
The discovery of the Higgs boson was announced ten years ago on the 4th of July 2012 — an event that substantially advanced our understanding of the origin of elementary particles’ masses.
Image: Original design by Charlotte Gurr, rearranged by Amie Fernandez (Springer Nature) -
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Pervasive machine learning in physics
Machine learning is becoming a familiar tool in all aspects of physics research: in experiments from experimental design and optimization, to data acquisition and analysis; in numerical simulation and even in theory.
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Writing for Nature Reviews Physics
At Nature Reviews, editors work closely with authors and referees to create high-quality, timely and accessible resources for the scientific community.
Image: Susanne Harris, Springer Nature Limited
Quantum science and society
