This work shows that multi-DOF metamaterials are limited by their energy-driven deformation, restricting their mechanical behaviors. By using one-DOF mechanisms and inverse design, the team created lightweight, highly deformable, easy-to-make metamaterials with tunable, programmable, and anisotropic mechanical responses. This opens a new path toward smart, reconfigurable materials for advanced engineering and adaptive applications.

In a paper published on aBIOTECH, the authors examine the current status of research and applications of agricultural GMOs in China, analyze future prospects and challenges, and discuss strategies to promote the development and utilization of agricultural biotechnology in China.

To address the above issues, Prof. Zhongwen Li's team at Ningbo Eye Institute, Wenzhou Medical University, introduced the Ocular Surface Pretrained Model (OSPM), a novel self-supervised learning-based domain-specific model to mitigate the scarcity of labeled data. It leverages 0.76 million unlabeled ocular surface images from 10 clinical centers across China to learn ocular surface feature representations, which can be easily adapted for classifying OSTs.

Understanding whether lakes are fed predominantly by groundwater or rainwater is critical to managing our water resources in the face of droughts and shortages, new research has found.

Columbia Engineering researchers have developed HyperQ, a novel system that enables multiple users to share a single quantum computer simultaneously through isolated quantum virtual machines (qVMs). This key development brings quantum computing closer to real-world usability—more practical, efficient, and broadly accessible.

A new, low-cost biosensing technology that could make rapid at-home tests up to 100 times more sensitive to viruses like COVID-19. The diagnostic could expand rapid screening to other life-threatening conditions like prostate cancer and sepsis, as well. Created by researchers at the University of California, Berkeley, the test combines a natural evaporation process called the “coffee-ring effect” with plasmonics and AI to detect biomarkers of disease with remarkable precision in just minutes.