Researchers at Seoul National University have compiled the latest technologies in the field of fabricating stretchable synaptic transistors, a neuromorphic device capable of learning even under deformation. This review introduces materials, manufacturing processes (photopatterning, printing, lamination-and-transfer), and structures (vertical, wave-like, textile) that maintain low-voltage stable operation even under deformation. By clearly identifying remaining technical challenges, such as n-type/bipolar semiconductors, CMOS-compatible patterning, and biocompatibility, it provides a roadmap for developing scalable wearable and neuroprosthetic systems.

This week, Tatta Bio, a scientific nonprofit advancing AI for genomics, has launched SeqHub — a platform helping scientists rapidly interpret proteins & genomes through AI-driven function prediction, context & structure.

High-voltage cycling can quietly degrade LiCoO₂ cathodes, but a new low-dose nanoscale imaging method reveals the precise crystal transformations driving battery performance loss. By combining cepstral matching analysis with scanning nanobeam electron diffraction, researchers achieved nanometer-scale visualization with minimal beam damage. The study uncovered local structural changes at the cathode interface with the electrolyte, providing important clues to how batteries degrade and helping guide the design of longer-lasting, higher-energy lithium-ion batteries for future devices and electric vehicles.

Microbial proteins are attracting attention for their potential in biomanufacturing a variety of products, including pharmaceuticals, industrial enzymes, and diagnostic antibodies. These proteins can also be used for converting resources into biofuels and bioplastics. Producing proteins from Escherichia coli (E. coli) has become popular due to its cost-effectiveness and efficiency. However, yields of protein production in E. coli may be reduced depending on the specific gene sequence of the target protein. A research group in Japan has successfully developed a new technology that improves the efficiency of protein production in E. coli. Their findings could provide fundamental technology to support sustainable manufacturing that does not depend on petroleum.

High-entropy oxides (HEOs) have emerged as a promising class of memristive materials, characterized by entropy-stabilized crystal structures, multivalent cation coordination, and tunable defect landscapes. These intrinsic features enable forming-free resistive switching, multilevel conductance modulation, and synaptic plasticity, making HEOs attractive for neuromorphic computing. This review outlines recent progress in HEO-based memristors across materials engineering, switching mechanisms, and synaptic emulation. Particular attention is given to vacancy migration, phase transitions, and valence-state dynamics—mechanisms that underlie the switching behaviors observed in both amorphous and crystalline systems. Their relevance to neuromorphic functions such as short-term plasticity and spike-timing-dependent learning is also examined. While encouraging results have been achieved at the device level, challenges remain in conductance precision, variability control, and scalable integration. Addressing these demands a concerted effort across materials design, interface optimization, and task-aware modeling. With such integration, HEO memristors offer a compelling pathway toward energy-efficient and adaptable brain-inspired electronics.

Most japonica rice varieties possess similar alleles for grain size, producing short and wide grains.

The gs9^ko allele has a widely applicable effect on grain appearance improvement. The increased leaf angle of the gs9^ko allele does not affect its improvement effect.