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 ...
A computational method combining generative AI with atomistic simulations can identify promising platinum alloy catalyst ...
Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy (XAS) is an important technique for this, as it reveals detailed insights ...
For more than a decade, a fundamental mystery has surrounded graphene—the one-atom-thick "wonder material" known for its ...
Spread the loveThe landscape of scientific inquiry is constantly evolving, and recent advancements in reverse thermal diffusion are reshaping our understanding of material sciences. Researchers have ...
Laser-based metal processing enables the automated and precise production of complex components, whether for the automotive industry or for medicine. However, conventional methods require time- and ...
Mechanical engineering has traditionally relied on physics, mathematics, and empirical knowledge to design and optimize systems. Machine learning (ML) introduces powerful tools that can complement ...
Forbes contributors publish independent expert analyses and insights. Writes about the future of payments. We live in a world where machines can understand speech, recognize faces, and even generate ...
The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results