Electronics & Semiconductors
Computer simulations can greatly contribute to the study of new promising materials for technological applications. These include so-called phase-change materials (PCMs), substances that release or absorb thermal energy while ...
Machine learning & AI
Artificial neural networks, ubiquitous machine-learning models that can be trained to complete many tasks, are so called because their architecture is inspired by the way biological neurons process information in the human ...
Aug 15, 2023
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590
Robotics
Researchers have developed soft robotic devices driven by neuromuscular tissue that triggers when stimulated by light—bringing mechanical engineering one step closer to developing autonomous biobots.
Sep 16, 2019
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2282
Computer Sciences
Princeton researchers have created an artificial intelligence (AI) tool to predict the behavior of crystalline materials, a key step in advancing technologies such as batteries and semiconductors. Although computer simulations ...
Jan 29, 2024
1
87
Robotics
You've likely heard that "experience is the best teacher"—but what if learning in the real world is prohibitively expensive? This is the plight of roboticists training their machines on manipulation tasks. Real-world interaction ...
Nov 28, 2023
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28
Software
Adding an organic matter power source to a solar energy unit could provide 100% heating for a single-story home during the coldest months of the year and help the environment. In the warmer months, the system could generate ...
May 31, 2022
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598
Computer Sciences
Machine learning, when used in climate science builds an actual understanding of the climate system, according to a study published in the journal Chaos by Manuel Santos Gutiérrez and Valerio Lucarini, University of Reading, ...
Jun 1, 2021
1
9
Computer Sciences
Deep learning, also called machine learning, reproduces data to model problem scenarios and offer solutions. However, some problems in physics are unknown or cannot be represented in detail mathematically on a computer. Researchers ...
Nov 11, 2020
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237
Engineering
Researchers from the Skoltech Petroleum Center have presented new results that will improve the predictions of stress redistribution used in strength models of composite materials, which will result in fewer tests and costs ...
Jun 24, 2024
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1
Engineering
Researchers at the University of Illinois Urbana-Champaign have developed a new method for detecting defects in additively manufactured components.
Jun 4, 2024
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48
