This prospective offers a new Bayesian framework that could guide the systematic application of the emerging toolsets of machine learning in the efforts to address two of the central bottlenecks encountered in materials innovation: (i) the capture of core materials knowledge in reduced-order forms that allow one to rapidly explore the vast materials design spaces, […]
This paper lays the foundations to develop automated segmentation workflows. It systematically identifies the various steps and the sequence in which they should be applied to obtain good segmentation results. The proposed framework is validated on diverse collections of micrographs from very different material systems. Iskakov, A., Kalidindi, S.R. A Framework for the Systematic Design
Building on the success of the first year of Startups for Sustainable Semiconductors to spur more green technology innovation, SEMI launched the second year of the program in January, inviting all startups, academics, and innovators with compelling ideas for advancing semiconductor industry sustainability to apply to participate. James Amano, Startups for Sustainable Semiconductors – 2023
