Quantum technologies promise revolutionary advances in computing, sensing, and information processing. However, controlling individual quantum bits (qubits) at the atomic scale remains a major challenge because conventional approaches rely on magnetic fields, which are difficult to confine to a single molecule.

A research team at the Center for Quantum Nanoscience (QNS) led by Director Andreas HEINRICH within the Institute for Basic Science (IBS), together with collaborators at Karlsruhe Institute of Technology (KIT), has now demonstrated that the quantum state of an individual magnetic molecule can instead be controlled electrically using a newly identified exchange-mediated mechanism. The study provides a new strategy for electrically controlling molecular quantum systems and could help pave the way toward more scalable quantum technologies.

Scientists have found a way to spot early signs of skin aging, discovering that collagen's hidden internal structure begins to unravel before the fibers themselves break apart.

Polymer-based flexible wireless sensors have demonstrated significant potential in health monitoring. However, existing studies have predominantly focused on material design, energy harvesting, and wireless communication, while research addressing signal attenuation, noise accumulation, and data distortion within wireless links remains relatively limited. Physiological signals are highly susceptible to multi-source interference during acquisition and transmission; without effective data processing and intelligent analysis strategies, monitoring outcomes may fail to meet the accuracy and stability requirements of clinical applications. To address this research gap, this review constructs a comprehensive framework encompassing signal sensing, link transmission, and intelligent processing, building on advances in flexible materials and wireless energy supply modes. Special attention is given to the critical roles of channel compensation, noise suppression, feature extraction, lightweight artificial intelligence models, and edge computing in enhancing data quality and reducing energy consumption. Furthermore, the review systematically analyzes the impact of wireless link stability and energy management on monitoring performance. By reinforcing the synergistic mechanisms between data processing and communication, this work aims to provide design principles and development directions for the next generation of high-reliability, low-power, and intelligent wireless flexible health monitoring systems.

Using a simple physical model, researchers at the University of Osaka, The National Institute of Advanced Industrial Science and Technology (AIST), RIKEN, and the Institute of Science Tokyo revealed how superionic conduction emerges when mobile ions undergo sublattice melting while the surrounding crystal framework remains intact. Near this transition, ions move cooperatively in spatially heterogeneous, string-like patterns, aided by anharmonic lattice motion. The findings identify general physical principles connecting lattice softness and collective transport, potentially guiding more efficient development of solid electrolytes for batteries and energy-conversion technologies.

- Professor Hae-Won Park's team in the Department of Mechanical Engineering generated 15.5 hours of gait training data in just eight minutes using computer simulations, implementing walking, running, jumping, and other locomotion skills within a single controller

- Reached a peak instantaneous speed of six meters per second (22 kilometers per hour) over rugged terrain. Expected to be used in extreme environments such as disaster response, mountain terrain, and defense

- Selected as the July cover paper of Science Robotics, the world's leading academic journal in robotics

Detecting the overall characteristics of culture medium components as fluorescence patterns and evaluating quality using machine learning

Liquefied natural gas arrives at import terminals at extremely low temperatures, carrying a large reserve of cold energy that is usually released into seawater or the surrounding air during regasification. A new study shows that carefully designed power cycles could convert more of this overlooked resource into useful electricity.

Rare and endangered animals are often among the species most vulnerable to chemical pollution, yet scientists face a difficult problem when trying to assess those risks. Conventional toxicity experiments may require large numbers of organisms, making them impractical and ethically inappropriate for species with limited populations.