

A new model reveals a way to describe gravity using the same mathematical language as the Standard Model
Researchers from Tianjin University in China have developed a systematic method for controlling driven quantum systems
A new model shows how transport resistance limits solar cell efficiency and how better fill factor predictions could help us develop more powerful photovoltaics
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Researchers from the US and the UK have studied the relationship between a quantum algorithm’s runtime and its resilience to noise, with unexpected results
The CMS collaboration at CERN have searched for evidence of long-lived particles beyond the Standard Model in proton-proton collision events
Research from the ASTRID2 synchrotron in Denmark has highlighted the importance of interatomic Coulombic decay in radiation damage experiments
New research has emerged that suggests wireless power transfer could be made more efficient by leveraging the power of dispersion
By twisting layers of graphite into new configurations, researchers model spinless topological chirality, bridging the gap between structural and quantum properties
A new laser-based technique reveals hidden phase changes in quantum materials, helping scientists better understand and control them for future technologies
When does an observable that follows a random trajectory reach a certain target value for the first time? And what about if it’s not enough to simply arrive at the target?
A team of researchers from the SLAC National Accelerator Laboratory have studied how terbium tritelluride behaves under strain to reveal competing ground states
A team of researchers from the Kavli Institute for Theoretical Sciences, China, have developed a new framework for modelling strongly correlated topological insulators
In a landmark result, the CMS collaboration reports the first observation of tau lepton pair production via photon-photon fusion in proton collisions
Researchers from Tel Aviv University have developed a new method for simulating complex quantum systems that can be combined with cutting edge AI techniques
Researchers uncover how vortex-like defects in liquid crystals mimic superconducting behaviour, forming structured Abrikosov clusters