machine learning Archives | The American Ceramic Society

machine learning

Other materials stories that may be of interest

By Faye Oney / October 24, 2018

Fast-charging stations for electric vehicles, aluminum air flow batteries, and other materials stories that may be of interest for October 24, 2018.

Read More

Disorderly conduct: Insight into materials failure could lead to glasses that are less likely to break

By April Gocha / December 5, 2017

An interdisciplinary group of scientists at the University of Pennsylvania have harnessed intense computation, data, and modeling power to determine how disordered solids fail, an understanding that could help engineer custom materials, such as glass that is less likely to break.

Read More

Other materials stories that may be of interest

By April Gocha / March 1, 2017

Atom-scale oxidation mechanism of nanoparticles helps develop anti-corrosion materials, unique workflow to design new materials, and other materials stories that may be of interest for March 1, 2017.

Read More

Other materials stories that may be of interest

By April Gocha / December 21, 2016

Black phosphorus doesn’t mind water, supercomputer simulation reveals 2-D glass can go infinitely soft, and other materials stories that may be of interest for December 21, 2016.

Read More

Glass genome opens up new opportunities for functional glasses with tailored properties

By April Gocha / June 23, 2016

Scientists at Corning Inc. (Corning, N.Y.) and Aalborg University (Aalborg, Denmark) have turned to computer modeling to help develop a glass-specific genome that will allow exploration and tailoring of specific properties of functional glasses.

Read More

Other materials stories that may be of interest

By April Gocha / May 18, 2016

Functionalized nanomaterials for carbon capture, floor tiles that generate power, and other materials stories that may be of interest for May 18, 2016.

Read More