Feature Channels: Technology

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Argonne National Laboratory Director Paul Kearns awarded Laboratory Director of the Year by The Federal Laboratory Consortium for Technology Transfer (FLC).

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The Fannie and John Hertz Foundation today announced 41 finalists for the 2020 Hertz Fellowship in applied science, mathematics, and engineering

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In a finding that could benefit drone design, award-winning research by a doctoral student at The University of Alabama in Huntsville (UAH) shows that the undulating flight paths of Monarch butterflies are actually more energy efficient than a straight-line path.

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A team of Harrisburg University professors and students have embarked on a unique research journey that involves the use of drones and imaging technology to help save an endangered iguana species in the Cayman Islands.

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Six months after discharge, smartphone users were 32 percent more likely to continue sending health data to researchers than those using wearables

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Thanks to a generous gift from utility company Evergy, students in the College of Engineering at Wichita State University can learn about and conduct research on solar power technology, as well as how to protect an electric grid from short circuiting.

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Imagine a future in which every consumer purchase is as complex as choosing a mobile phone. What will ongoing service cost? Is it compatible with your other devices? Can you move data and applications across devices? Can you switch providers? These are among the questions one must consider when a product is “tethered”—or persistently linked—to the seller. They’re also questions posed by Aaron Perzanowski, a law professor at Case Western Reserve University, in a recent article.

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The aftershocks of Russia’s interference in the 2016 U.S. election are still being felt today. Is the United States ready for 2020?

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American University Names First Chief Online Officer to Lead Digital Learning Efforts

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Researchers are increasingly using computer models to predict how light will interact with metamaterials. Scientists used machine learning techniques to analyze databases of information. The computer program predicted the ideal metamaterial design for absorbing low-energy light.

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Story Tips: Fusion squeeze, global image mapping, computing mental health and sodium batteries

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In the future, robots could take blood samples, benefiting patients and healthcare workers alike. A Rutgers-led team has created a blood-sampling robot that performed as well or better than people, according to the first human clinical trial of an automated blood drawing and testing device.

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New York University has launched the Alliance for Public Interest Technology, a group of NYU faculty focused on the responsible and ethical creation, use, and governance of technology that will support new research, develop pipelines for diverse students doing public interest technology work, and build collaborations with academic and non-academic institutions.

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DHS S&T recently collaborated with FEMA ORR, External Affairs, and the EMI, as well as various public safety and emergency management practitioners, to develop, pilot, and launch a single page web application called the Social Media for Emergency Managers (SMEM) Guidance Tool.

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DHS S&T selected four new industry partners to participate in a new wildfire sensors workstream of the Smart Cities Internet of Things Innovation (SCITI) Labs.

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Despite significant progress against HIV/AIDS, the nation’s capital is still battling an HIV epidemic with rates that are five times higher than the national average. A study published today in the journal Scientific Reports uses powerful next-generation sequencing technology to learn more about how the virus is spreading and developing drug resistance in the District of Columbia.

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Energy storage startup SPARKZ Inc. has exclusively licensed five battery technologies from the Department of Energy’s Oak Ridge National Laboratory designed to eliminate cobalt metal in lithium-ion batteries. The advancement is aimed at accelerating the production of electric vehicles and energy storage solutions for the power grid.

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Thanks largely to advances in computing, researchers in computational biology and data science are harnessing the power of the masses and making discoveries that provide valuable insights into human health.

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Researchers created an algorithm that successfully predicted consumer purchases.

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The Moscow Institute of Physics and Technology (MIPT) has initiated a project of the Russian Federation called “Arctic Hydrogen Energy Applications and Demonstrations” (AHEAD) in the Arctic Council’s Sustainable Development Working Group (SDWG). The project is supported by the Russian Ministry of Science and Higher Education, the Ministry of Foreign Affairs, the Ministry for the Development of the Russian Far East and Arctic, the governor of Yamalo-Nenets Autonomous Okrug, and the EnergyNet infrastructure center of the National Technology Initiative.

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Partha Dutta, a professor of electrical, computer, and systems engineering at Rensselaer Polytechnic Institute, envisions a not-so-distant future where even the most remote parts of the world would have access to clean and renewable energy. His vision wouldn’t require a large power grid or expensive technology. Instead, he believes it could be accomplished using simple mirrors, local resources, and the sun.

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Research from Michigan State University reveals the importance of factoring in a hacker’s motive for predicting, identifying and preventing cyberattacks.

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The TRAPPIST-1 system of exoplanets holds exciting possibilities in the search for potentially habitable worlds. In this system an ultra-cool star is orbited by seven rocky, Earth-sized worlds, three of which are in the “Goldilocks” zone where liquid water might exist on their surfaces. NASA’s James Webb Space Telescope will observe those worlds to determine whether any of them have an atmosphere.

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The first hours of a lithium-ion battery’s life largely determine just how well it will perform. In those moments, a set of molecules self-assembles into a structure inside the battery that will affect the battery for years to come. Now scientists have witnessed the formation of the solid-electrolyte interphase at a molecular level.

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Chemists at the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory have made a new finding about battery performance that points to a different strategy for optimizing cathode materials. Their research, published in Chemistry of Materials and featured in ACS Editors’ Choice, focuses on controlling the amount of structural defects in the cathode material.

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Lawrence Livermore National Laboratory engineers and biologists have developed a “brain-on-a-chip” device capable of recording the neural activity of living brain cell cultures in three-dimensions, a significant advancement in the realistic modeling of the human brain outside of the body.

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The first SLAS Technology issue of 2020, “Flexible Analytical Devices for Point-of-Care Testing,” features a series of articles and research reviews highlighting the ever-increasing popularity of wearable technology devices as they apply to disease detection and health monitoring.

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The February special issue of SLAS Discovery, “Advances in Cellular Target Engagement and Target Deconvolution,” features 13 articles focused on multiple aspects and technologies of cellular target engagement.

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Rice University engineers have created a deep learning computer system that taught itself to accurately predict extreme weather events, like heat waves, up to five days in advance using minimal information about current weather conditions.

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An advanced imaging technology developed at UC San Diego is allowing scientists unprecedented access into brain activities during intricate behaviors. The “Flyception2” has produced the first-ever picture of what happens in the brain during mating in any organism.

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Painful hypodermic needles may not be needed in the future to give shots, inject drugs and get blood samples. With 4D printing, Rutgers engineers have created tiny needles that mimic parasites that attach to skin and could replace hypodermic needles, according to a study in the journal Advanced Functional Materials.

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The University of Alabama in Huntsville (UAH) will have a major role in exploring an expected massive data stream that will follow the launch of the European Space Agency (ESA) Solar Orbiter, a mission that will fly over the sun’s poles and on which UAH’s Dr. Gary Zank is a co-primary investigator.

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Computer scientists at Lawrence Livermore National Laboratory are preparing the future of commuter traffic by applying Deep Reinforcement Learning — the same kind of goal-driven algorithms that have defeated video game experts and world champions in the strategy game Go — to determine the most efficient strategy for charging and driving electric vehicles used for ride-sharing services.

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An international team of researchers has discovered the hydrogen atoms in a metal hydride material are much more tightly spaced than had been predicted for decades—a feature that could possibly facilitate superconductivity at or near room temperature and pressure. The scientists conducted neutron scattering experiments at the Department of Energy’s Oak Ridge National Laboratory on samples of zirconium vanadium hydride.

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Study suggests that adaptation of smartphone technology is a scalable option that significantly improves clinical outcomes

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UW researchers have created AuraRing, a ring and wristband combination that can detect the precise location of someone’s index finger and continuously track hand movements.

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Most medicines work by binding to and blocking the effect of disease-causing molecules. Now to accelerate the identification of potential new medicines, bioengineers have created a computer model that mimics the way molecules bind.

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Ceevra, Inc., a San Francisco-based advanced visualization platform for surgeons, today announced that renowned urologic oncology surgeon, Dr. James Porter, has commercially adopted Ceevra’s mobile 3D visualization platform to help plan and perform his kidney cancer operations.

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Researchers at the DIII-D National Fusion Facility recently achieved a scientific first when they used machine learning calculations to automatically prevent fusion plasma disruptions in real time, while simultaneously optimizing the plasma for peak performance. The new experiments are the first of what they expect to be a wave of research in which machine learning–augmented controls could broaden the understanding of fusion plasmas. The work may help deliver reliable, peak-performance operation of future fusion reactors.

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Science and technology awards were announced during SLAS2020 International Conference and Exhibition, the annual flagship event of the Society for Laboratory Automation and Screening. Each year SLAS recognizes several exceptional attendees and exhibitors who represent the best of the Society’s programs and mission.

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Humans have been cooling metal mixtures from liquid to solid for thousands of years. But surprisingly, not much is known about exactly what happens during the process of solidification. Particularly puzzling is the solidification of eutectics, which are mixtures of two or more solid phases.

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Using advanced computational methods to find working designs, researchers created six protein pairs in cells.

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DHS S&T partnered with MIT Lincoln Laboratory and several private companies to create the Slash CameraPole.

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As a staff member in the Theory and Computation Group at Brookhaven Lab's Center for Functional Nanomaterials, Qu applies various approaches in artificial intelligence to analyze experimental and computational nanoscience data.

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With a team of experts in fields including data science, statistics, computer science, finance, energy, agriculture, ecology, hydrology, climate and space weather, The Predictive Risk Investigation System for Multilayer Dynamic Interconnection Analysis (PRISM), funded by the National Science Foundation (NSF), will integrate data across different areas to improve risk prediction.

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New research led by faculty at Binghamton University, State University of New York, could aid cleaner energy technologies.

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Can buildings learn to save all by themselves? Empa researchers think so. In their experiments, they fed a new self-learning heat­ing control system with temperature data from the previous year and the current weather forecast. The “smart” control system was then able to assess the building’s behavior and act with good anticipation. The result: greater comfort, lower energy costs.