A research team led by professor Olivia Merkel, Chair of Drug Delivery at LMU and co-spokesperson of the Cluster for Nucleic ...
Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Material science, at its core, is an interdisciplinary field focusing on the discovery and ...
Artificial Intelligence and its related tools, such as machine learning, deep learning, and neural networks, are revolutionizing every field of life. The domain of materials science and engineering is ...
The arrangement of electrons in matter, known as the electronic structure, plays a crucial role in fundamental but also applied research such as drug design and energy storage. However, the lack of a ...
Researchers developed Bits2Bonds, a platform that merges molecular dynamics simulations with machine learning to design new ...
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Predicting material failure: Machine learning spots early abnormal grain growth signs for safer designs
A team of Lehigh University researchers has successfully predicted abnormal grain growth in simulated polycrystalline materials for the first time—a development that could lead to the creation of ...
A team of researchers has successfully predicted abnormal grain growth in simulated polycrystalline materials for the first time -- a development that could lead to the creation of stronger, more ...
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High-throughput hunt finds a new magnetic sensor material
Magnetic sensors quietly underpin everything from smartphone compasses to the stability systems that keep electric vehicles ...
Materials testing is critical in product development and manufacturing across various industries. It ensures that products can withstand tough conditions in their ...
UCLA engineers have designed a material that can adapt to changing conditions. The material consists of tunable beams that can dynamically adjust its behavior to suit changes in its environment, ...
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