A research team observes negative bend resistance in single-crystalline copper thin films for the first time.

A new study reveals that for the first time, areas of Canada’s boreal peatlands damaged by oil and gas exploration have failed to recover as scientists and companies predicted and instead led to a tripling of their methane emissions, with global implications. 

A new study published in Big Earth Data proposes GeoJSON agents, a novel multi-agent large language model (LLM) framework for geospatial analysis that transforms natural language instructions into structured GeoJSON operations through function calling and code generation. Experiments on a hierarchical benchmark of 70 spatial tasks show that the code generation–based agent achieved 97.14% accuracy and the function calling–based agent achieved 85.71%, both significantly outperforming general-purpose models, while highlighting the trade-off between flexibility and execution stability in GeoAI applications. The data that support the findings of this study are openly available in figshare at https://doi.org/10.6084/m9.figshare.29921492.

POSTECH-led research team develops IrFe/C electrocatalyst that self-heals after oxidation, dramatically improving durability of water electrolyzers and fuel cells.

Recently, a research team led by Professor Junbo Yang at the National University of Defense Technology has proposed a novel permittivity regulation framework based on programmable interface atomic rearrangement. They developed an Ag-In₃SbTe₂ (IST) interface atomic rearrangement metamaterial (ARM), enabling full-spectrum and time-domain dynamic modulation, as well as spatiotemporal thermal radiation tailoring. The ARM exhibits broad and continuous spectral tunability, with modulation amplitudes reaching 64.74% in the 3-5 μm band and 73.94% in the 8-14 μm band, accompanied by rich temporal variations.

A comprehensive expert consensus published in Intelligent Medicine establishes the first comprehensive framework for classifying, annotating, and quality-controlling dry eye imaging datasets across five core modalities, directly addressing the upstream data infrastructure gap that has long constrained AI development in ophthalmology.

New “GMBU” procedure reveals band structures in finite, curved nanomaterials, linking nano‑ARPES and theory for next‑generation device design.