Artificial intelligence (AI) optimization offers benefits for mechanical engineers, including faster and more accurate designs and simulations, improved efficiency, and reduced development costs. In MIT’s class on AI and Machine Learning (ML) for Engineering Design, students use tools and techniques from AI and ML for design, with a focus on the creation of new products […]
AI for Chemistry and Materials Science
Chemistry and materials touch all aspects of our lives, from everyday items like food packaging to advanced electronics like semiconductors. Unfortunately, materials innovation is expensive, slow and historically computationally intractable due to high compute cost. Recent advances in AI are challenging this paradigm.
Imagic and MECS launch technology partnership for AI-supported microstructure analysis
Imagic Bildverarbeitung AG and the Materials Engineering Center Saarland (MECS) of Zürich and Saarbrücken, respectively, entered into a strategic partnership in September. The collaboration combines MECS’s expertise in materials science, which bridges the gap between research and industry, with Imagic’s leading software expertise in microscopy, image analysis, and image data management.
3D real-time imaging of hydrogen’s effect on stainless steel defects
Researchers from University of Oxford and Brookhaven National Laboratory have uncovered how exposure to hydrogen atoms dynamically alters the internal structure of stainless steel. Their findings reveal that hydrogen allows internal defects in steel to move in ways not normally possible, which can lead to unexpected failure.
Electronics and PCB failure analysis using FT-IR microscopy
See how a PCB that is dead on arrival is examined by FTIR microscopy using the LUMOS II from Bruker to find and chemically analyze a large crystalline contamination, in accordance with the IEC 61191 standard.