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Category: science – Page 11

Artificial intelligence (AI) is becoming increasingly useful for the prediction of emergency events such as heart attacks, natural disasters, and pipeline failures. This requires state-of-the-art technologies that can rapidly process data. In this regard, reservoir computing, specially designed for time-series data processing with low power consumption, is a promising option.

It can be implemented in various frameworks, among which physical reservoir computing (PRC) is the most popular. PRC with optoelectronic artificial synapses that mimic human synaptic elements are expected to have unparalleled recognition and real-time processing capabilities akin to the human visual system.

However, PRC based on existing self-powered optoelectronic synaptic devices cannot handle time-series data across multiple timescales, present in signals for monitoring infrastructure, natural environment, and health conditions.

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Through its commitment to international nuclear nonproliferation — a mission focused on limiting the spread of nuclear weapons and sensitive technology while working to promote peaceful use of nuclear science and technology — the United States maintains a constant vigilance aimed at reducing the threat of nuclear and radiological terrorism worldwide.

With extensive research into both basic and applied uranium science, as well as internationally deployed operational solutions, the Department of Energy’s Oak Ridge National Laboratory is uniquely positioned to contribute its comprehensive capabilities toward advancing the U.S. nonproliferation mission.

In 1943, seemingly overnight, ORNL emerged from a rural Tennessee valley as the site of the world’s first continuously operating nuclear reactor, in support of U.S. efforts to end World War II. ORNL’s mission soon shifted into peacetime applications, harnessing nuclear science for medical treatments, power generation and breakthroughs in materials, biological and computational sciences.

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Researchers have developed a technique called “atomic spray painting” using molecular beam epitaxy to strain-tune potassium niobate, enhancing its ferroelectric properties.

This method allows precise manipulation of material properties, with potential applications in green technologies, quantum computing, and space exploration.

Material Strain Tuning

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A cutting-edge X-ray method reveals the 3D orientation of nanoscale material structures, offering fresh insights into their functionality.

Researchers at the Swiss Light Source (SLS) have developed a groundbreaking technique called X-ray linear dichroic orientation tomography (XL-DOT). This method reveals the three-dimensional arrangement of a material’s structural building blocks at the nanoscale. Its first application focused on a polycrystalline catalyst, enabling scientists to visualize crystal grains, grain boundaries, and defects—critical features that influence catalyst performance. Beyond catalysis, XL-DOT offers unprecedented insights into the structure of various functional materials used in information technology, energy storage, and biomedical applications.

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