Machine-learning analysis of X-ray data picks out key catalytic properties

Scientists seeking to design new catalysts to convert carbon dioxide (CO2) to methane have used a novel artificial intelligence (AI) approach to identify key catalytic properties. By using this method to track the size, structure, and chemistry of catalytic particles under real reaction conditions, the scientists can identify which properties correspond to the best catalytic performance, and then use that information to guide the design of more efficient catalysts.

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Browser tool aims to help researchers ID malicious websites, code

Researchers have developed an open-source tool that allows users to track and record the behavior of JavaScript programs without alerting the websites that run those programs. The tool, called VisibleV8, runs in the Chrome browser and is designed to detect malicious programs that are capable of evading existing malware detection systems.

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A tiny cavity leads to a strong interaction between light and matter

Researchers have succeeded in creating an efficient quantum-mechanical light-matter interface using a microscopic cavity. Within this cavity, a single photon is emitted and absorbed up to 10 times by an artificial atom. This opens up new prospects for quantum technology.

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Flexible, wearable supercapacitors based on porous nanocarbon nanocomposites

Evening gowns with interwoven LEDs may look extravagant, but the light sources need a constant power supply from devices that are as well wearable, durable, and lightweight. Chinese scientists have manufactured fibrous electrodes for wearable devices that are flexible and excel by their high energy density. A microfluidic technology was key for the preparation of the electrode material was a microfluidic technology, as shown in the journal Angewandte Chemie.

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Bio-circuitry mimics synapses and neurons in a step toward sensory computing

Researchers have demonstrated bio-inspired devices that accelerate routes to neuromorphic, or brain-like, computing. Their discovery could support the emergence of computing networks modeled on biology for a sensory approach to machine learning.

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Information theory as a forensics tool for investigating climate mysteries

During Earth's last glacial period, temperatures on the planet periodically spiked dramatically and rapidly. A new article suggests that mathematics from information theory could offer a powerful tool for analyzing and understanding these mysterious events.

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Experiment measures velocity in 3D

Many of today's scientific processes are simulated using computer-driven mathematical models. But for a model to accurately predict how air flow behaves at high speeds, for example, scientists need supplemental real life data. Providing validation data, using up-to-date methods, was a key motivating factor for a recent experimental study.

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