Researchers at The Grainger College of Engineering have integrated their expertise in metals with advanced machine learning to create detailed spatial maps, enabling faster and more precise autonomous material design. Similar to how fingerprint technology captures intricate ridge and valley patterns for biometric identification, their approach leverages spatial mapping of fine details to revolutionize material […]
Microscopy images are indispensable in nanomaterials science. Yet scientists now fear that generative AI is diluting the significance of these images by polluting the pool with fake, AI-generated photos that are indistinguishable from the real ones. Even seasoned researchers find it increasingly difficult to distinguish between real microscopy images of nanomaterials and those created by AI as shown in a new study.
Researchers from the Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab) have discovered a new way to produce high-entropy alloys (HEAs), at near-room temperatures. Their technique gives users much more control of the alloy’s crystal structure and overall morphology compared with existing methods, opening the door for a new paradigm of custom-made HEAs.
The November/December 2025 issue of Advanced Materials & Processes magazine has an editorial focus on Testing and Characterization.
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