Developing Complex Materials for Technological Applications
Demonstration of a Machine Learning Algorithm for 3D Printing
Washburn to speak at Henkel
BME’s Newell Washburn was invited to speak on materials formulation AI at the annual Scientific Advisory Board meeting of Henkel, a leading manufacturer of adhesives and consumer products.
Mellon College of Science
Washburn receives Covestro Global Science Award
BME’s Newell Washburn has been named the recipient of Covestro LLC’s Global Science Award in recognition of his role in pioneering a scientific innovation that speeds the development of customized polymer formulations.
3D printing soft materials with AI
Carnegie Mellon University researchers created a machine learning algorithm that optimizes parameters of soft materials 3D printing.
Predicting material behavior using small datasets
Newell Washburn and a team of researchers from CMU have designed a novel machine learning model that predicts and optimizes the properties of complex physical systems using small datasets.