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141 Current news about the topic quantum mechanics


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The Nobel Prize in Physics 2022 goes to three quantum researchers from France, USA and Austria

Entangled states – from theory to technology


The Royal Swedish Academy of Sciences has decided to award the Nobel Prize in Physics 2022 to Alain Aspect (Université Paris-Saclay and École Polytechnique, Palaiseau, France), John F. Clauser (J.F. Clauser & Assoc., Walnut Creek, CA, USA) and Anton Zeilinger (University of Vienna, Austria) “for ...


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New Fur for the Quantum Cat

Quantum materials: entanglement of many atoms discovered for the first time


Be it magnets or superconductors: materials are known for their various properties. However, these properties may change spontaneously under extreme conditions. Researchers at the Technische Universität Dresden (TUD) and the Technische Universität München (TUM) have discovered an entirely new ...


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Building blocks of the future for photovoltaics

Research team observes formation of "dark" moiré interlayer excitons for the first time


An international research team led by the University of Göttingen has, for the first time, observed the build-up of a physical phenomenon that plays a role in the conversion of sunlight into electrical energy in 2D materials. The scientists succeeded in making quasiparticles – known as dark Moiré ...


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In simulation of how water freezes, artificial intelligence breaks the ice

AI techniques enable Princeton researchers to simulate ice formation with quantum accuracy


A team based at Princeton University has accurately simulated the initial steps of ice formation by applying artificial intelligence (AI) to solving equations that govern the quantum behavior of individual atoms and molecules. The resulting simulation describes how water molecules transition into ...


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How to play Catalysis Tetris?


The way molecules involved in a chemical reaction bond to the surface of a catalyst is key to improving catalyst performance. Researchers at the Fritz Haber Institute and Denmark's Aarhus University have now developed a machine learning algorithm that can predict this property for complex ...


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Discovery paves the way for faster computers, longer-lasting batteries

Researchers have has discovered a ‘recipe’ which allows molecular switches to work at room temperature


University of Queensland scientists have cracked a problem that’s frustrated chemists and physicists for years, potentially leading to a new age of powerful, efficient, and environmentally friendly technologies. Using quantum mechanics,Professor Ben Powellfrom UQ’sSchool of Mathematics and ...


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Supercomputer and quantum simulations solve a difficult problem of materials science

Researchers from Japan successfully estimate the bending energy of disiloxane molecule with ultra-fine molecular simulations run on a supercomputer


Understanding the structural properties of molecules found in nature or synthesized in the laboratory has always been the bread and butter of materials scientists. But, with advancements in science and technology, the endeavor has become even more ambitious: discovering new materials with highly ...


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„Crazy“ light emitters

Unusual quantum phenomenon discovered


A highly unusual movement of light emitting particles in atomically-thin semiconductors was experimentally confirmed by scientists from the Würzburg–Dresden Cluster of Excellence ct.qmat–Complexity and Topology in Quantum Matter. Electronic quasiparticles, known as excitons, seemed to move in ...


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Demonstrating Feshbach resonances between a single ion and ultracold atoms

Researchers study the interaction between lithium atoms and barium ion isolated in ultrahigh vacuum and trapped using light traps


A team led by Prof. Dr. Tobias Schätz, Professor of Atomic and Quantum Physics at the Institute of Physics at the University of Freiburg, Dr. Pascal Weckesser, Fabian Thielemann and colleagues, demonstrate magnetic Feshbach resonances between a single barium ion and lithium atoms at near absolute ...


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New computational approach predicts chemical reactions at high temperatures

Method combines quantum mechanics with machine learning to accurately predict oxide reactions at high temperatures when no experimental data is available


Extracting metals from oxides at high temperatures is essential not only for producing metals such as steel but also for recycling. Because current extraction processes are very carbon-intensive, emitting large quantities of greenhouse gases, researchers have been exploring new approaches to ...


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