A serendipitous discovery during research into batteries at Oregon State University holds major implications for inventing new materials with a vast range of scientific and commercial applications, the study’s corresponding author says.
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https://techxplore.com/news/2020-03-ions-path-batteries.html
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Models and algorithms for analyzing complex networks are widely used in research and affect society at large through their applications in online social networks, search engines, and recommender systems. According to a new study, however, one widely used algorithmic approach for modeling these networks is fundamentally flawed, failing to capture important properties of real-world complex networks.
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https://techxplore.com/news/2020-03-widely-machine-methods-dont.html
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A growing number of companies and research groups worldwide are now developing compliant sensors based on composite materials, which can have a wide range of possible applications. Composite materials, those made of two or more substances, often have unique and advantageous properties that differ from those of their individual components.
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https://techxplore.com/news/2020-03-sustainable-strategy-sensors-soft-robots.html
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Documents that express an opinion abound, especially in the so-called web 2.0 era of social media and social networking. Jae-Young Chang of the Department of Computer Engineering at Hansung University, in Seoul, South Korea, suggests that there is a need to find ways to summarize their contents for a wide range of applications.
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https://techxplore.com/news/2020-03-opinion-mining-algorithm-social-media-sentiments.html
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Google announced Monday that it is making available an open-source library for quantum machine-learning applications.
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Augmented reality (AR), virtual reality (VR), and mixed reality (MR) technology open new possibilities across many fields. However, high-quality extended reality (XR) applications are computationally heavy in terms of computer graphics, which means that they do not run smoothly on inexpensive and easy-to-use XR devices such as VR/AR headsets and smartphones, because their GPU computing capacity is limited.
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Researchers from A*STAR’s NanoBio Lab (NBL) have designed a semi-solid electrolyte for lithium-sulfur batteries that improves their safety without compromising their performance. This promising breakthrough paves the way for lithium-sulfur batteries to be used as efficient power solutions across diverse electronic and energy storage applications.
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Scientists at Osaka University have built a new computing device from field-programmable gate arrays (FPGA) that can be customized by the user for maximum efficiency in artificial intelligence applications. Compared with currently used rewireable hardware, the system increases circuit density by a factor of 12. Also, it is expected to reduce energy usage by 80%. This advance may lead to flexible artificial intelligence (AI) solutions that provide enhanced performance while consuming much less electricity.
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Science and engineering applications such as control of high-precision motion systems or electrochemical processes are often built on mathematical models of dynamic systems. Ph.D. candidate Dhruv Khandelwal developed a framework that allows people without experience in data-driven modeling to fairly easily develop high-quality, optimized mathematical models of these dynamic systems. This is a vital tool that can help researchers of any stripe navigate the complex maze of modeling technologies and systems dynamics, and support data-driven research output and valorization. For instance, electrical engineers managing the health of the electricity grid or researchers studying the growth of cancer cells. Khandelwal defends his Ph.D. thesis on March 4.
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UCLA engineers have developed minuscule warehouse logistics robots that could help expedite and automate medical diagnostic technologies and other applications that move and manipulate tiny drops of fluid. The study was published in Science Robotics.
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