Targeted analysis of chemical structural characteristics at different scales is expected to deepen the understanding of gas adsorption mechanisms in metal–organic frameworks
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A research paper by scientists at the Beijing Institute of Technology proposed a SnS2-based in-sensor reservoir that offers an effective solution for detecting a variety of motion types at sensory terminals. By leveraging in-sensor reservoir computing, the device excels at classifying different motions across a wide velocity spectrum, providing a novel and promising method for motion recognition.
The new research paper, published on Sep. 30 in the journal Cyborg and Bionic Systems, presented an optoelectronic in-sensor RC device based on monolayer SnS2 synthesized via the chemical vapor deposition (CVD) technique. This device demonstrates a notable correlation between its optic response and the duration of illumination, exhibiting excellent optical detection performance under short light illumination. Under long illumination, the sustained optic response can be used to simulate synaptic plasticity.
To discover how machine learning (ML) is revolutionizing molecular crystal design and crystallization, a new review in Engineering explores ML’s role in accelerating solvate and co-crystal development, predicting crystal properties, and optimizing crystallization processes. Learn about the latest advancements and future prospects in this field.
Researchers have successfully tested an 80-kA REBCO cable-in-conduit conductor (CICC) for high-field fusion applications. The prototype demonstrated stability under extreme conditions, marking a significant step towards practical high-temperature superconductors (HTS) technology for future fusion reactors. Further work is needed to address remaining challenges, but this achievement brings us closer to realizing large-scale, high-field magnet applications.
Constructed wetlands (CWs) effectively remove low concentrations of dissolved carbon, nitrogen, and phosphorus pollutants, and prevent contamination and algal blooms from occurring in freshwater bodies. A team of Chinese researchers have identified factors that affect the removal efficacy of CWs and listed strategies to make CWs more effective. These findings can increase the deployment of CWs across diverse environments.