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Researchers have demonstrated a new technique that allows "self-driving laboratories" to collect at least 10 times more data ...
Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...
Dr. Fatma Kocer, VP Engineering Data Science at Altair, says GDL and other techniques will unleash foundational models akin ...
A new leap in lab automation is shaking up how scientists discover materials. By switching from slow, traditional methods to real-time, dynamic chemical experiments, researchers have created a ...
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Interesting Engineering on MSNUS scientists blend seaweed into concrete to shrink cement’s carbon footprint quicklyScientists create seaweed-enhanced concrete, cutting emissions by 21% using machine learning for rapid discovery.
Researchers have demonstrated a new technique that allows “self-driving laboratories” to collect at least 10 times more data than previous techniques at record speed. The advance dramatically ...
CGSchNet, a fast machine-learned model, simulates proteins with high accuracy, enabling drug discovery and protein ...
An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin introduces a breakthrough in protein simulation.
AI-powered sorting and advanced chemical processes are revolutionizing plastic recycling, making it more efficient and reducing landfill waste globally.
Achieving high efficiency, long operational lifetime, and excellent color purity is essential for organic light-emitting ...
A new wearable wristband could significantly improve diabetes management by continuously tracking not only glucose but also ...
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