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.

Phase-change materials and hydrogels emerge as versatile, low-cost, high-speed platforms for next-generation optical information storage and multi-level encryption. NDAO Lab (Nano Devices and Applied Optics) at UC San Diego developed an optical storage system combining laser-written phase-change antimony trisulfide (Sb₂S₃) with a humidity-responsive CMC-N₃ hydrogel to enable full-color image multiplexing. This scalable approach overcomes limitations of metasurface-based storage, offering rewritable, environmentally responsive optical memory for data security, anti-counterfeiting, and adaptive display applications across large areas with low fabrication complexity and cost.

Hydrogel electrolytes are pivotal for flexible zinc-ion batteries (ZIBs) yet suffer from an intrinsic trade-off between mechanical robustness and ionic conductivity. Herein, drawing inspiration from the “adhesion-conduction” architecture of spider webs, we developed a hierarchical hydrogel electrolyte (MTP) by incorporating tannic acid (TA)-modified MXene nanosheets (MT) into a polyacrylamide (PAM) skeleton to construct uniform 3D ion-conductive pathways. This bioinspired hierarchy serves a dual function: The PAM framework ensures mechanical integrity, while the MT network creates directed low-resistance channels for Zn²⁺ transport. Specifically, the dense array of polar groups on MXene and phenolic hydroxyls on TA act as “sticky sites”, which accelerate desolvation kinetics and homogenize Zn²⁺ flux. Consequently, the MTP electrolyte achieves an impressive ionic conductivity of 27.69 mS cm⁻¹ and a high Zn²⁺ transference number of 0.833. Enabled by this design, Zn//Zn symmetric cells demonstrate an ultralong lifespan of 4600 h (> 6 months) at 0.5 mA cm⁻²/0.5 mAh cm⁻². Furthermore, Zn//Z-VO full cells exhibit outstanding cyclability, retaining 74.5% capacity after 2000 cycles at 2 A g⁻¹ and maintaining durable operation for over 10,000 cycles at 5 A g⁻¹. This work successfully translates a biological blueprint into a practical strategy for resolving the kinetic and stability challenges in high-performance flexible ZIBs.

The Fe–N–C single-atom catalyst represents a promising candidate for promoting the oxygen reduction reaction (ORR), which is crucial for fuel cell applications; yet, identifying optimal modification strategies to enhance its activity and stability remains challenging. Herein, the modulation of Fe–N–C catalysts via in-plane heteroatom doping and axial coordination is systematically investigated using integrated density functional theory (DFT) and machine learning (ML) approaches. The analysis reveals that axial ligands have a more profound influence on ORR performance than in-plane dopants, primarily by modulating the Fe dz2 orbital and weakening *OH adsorption. Through interpretable descriptors extracted from ML models, the key electronic and geometric properties governing catalyst behavior are identified, and several novel dual-modified candidates with enhanced activity relative to pristine Fe–N–C are subsequently predicted and validated by DFT calculations. This work provides a unified mechanistic and data-driven framework for accelerating the design of high-performance Fe–N–C ORR electrocatalysts.

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.

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

A meteorite that crashed through the roof of a New Jersey home has revealed evidence of ancient salt-rich brines on its parent asteroid, offering a rare glimpse into the chemistry of the early solar system. Preserved in pristine condition thanks to the homeowner's quick actions, the Hillsborough meteorite contains rare minerals and complex organic compounds that provide new clues about how water-rich asteroids evolved—and how they may have delivered some of the building blocks of life to the early Earth.

Researchers from the Institute of Industrial Science, The University of Tokyo have developed ultrathin, stretchable facial electrodes that are effectively invisible and cannot be felt when worn. The electrodes reduce the visual discomfort and psychological burden associated with conventional facial sensors, allowing eye movements, facial muscle activity, and brain activity to be measured under more natural conditions. The electrodes could allow future technology to be operated with subtle facial and eye signals.