Scientists Demonstrate Automated Process for Identifying Promising New Materials
A new computational approach will improve understanding of different states of carbon and guide the search for materials yet to be discovered.
Source: azom.com
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Scientists use machine learning to accelerate materials discovery
Scientists at Argonne National Laboratory have recently demonstrated an automated process for identifying and exploring promising new materials by combining mac
Source: newswise.com
Energy Research Gets Jolt of Funding From DOE
Wide-ranging projects getting awards cover clean energy technologies, low carbon manufacturing.
Source: designnews.com
Improved Machine Learning Model is a Breakthrough Capability for Quantum Chemistry
The equations of quantum mechanics provide a roadmap to predicting the properties of chemicals starting from basic scientific theories. However, these equations quickly become too expensive in terms of computer time and power when used to predict behavior in large systems.
Source: azom.com
Department of Energy Announces $21 Million to Support Energy-Relevant Research in Underrepresented Regions
Today, the U.S. Department of Energy (DOE) announced $21 million in funding for 29 new projects through the Established Program to Stimulate Competitive Researc
Source: newswise.com