By linking theoretical predictions with neutron experiments, researchers have found evidence for quantum spin ice in the material Ce₂Sn₂O₇. Their findings, which may inspire the technology of tomorrow, such as quantum computers, have been published in the journal ‘Nature Physics’. The experiments were conducted at the Institut Laue-Langevin (ILL), taking advantage of the world’s most intense neutron beams and of an unparalleled state-of-the-art instrument suite. This work paves the way towards future unifications of theory and experiments, which is of particular interest for highly complex areas such as quantum physics and exotic states of matter. The findings also offer a wonderful playground for further exploration of quantum phenomena in materials with potential applications in quantum computing. 

Texas A&M researchers are developing a hybrid biomechanical physics-informed machine learning model. Their approach combines experimentally measured bone deformation data with governing physics and a robust machine learning framework, enabling precise, personalized predictions of mechanical stress in the bone. This innovation provides an efficient tool for patient-specific dental surgery planning, optimizing bone healing and ensuring long-term implant success.