17 Experimental and Computational Approaches to Accelerate and Discover Inorganic Materials


Description:
This session focuses on accelerated discovery and synthesis of inorganic materials for targeted applications through high-throughput screening using experimental, computational or AI/machine-learning techniques.

Sponsor:
Inorganic Materials


Chair:

Peng Bai
Chemical Engineering, University of Massachusetts Amherst, Amherst, MA
Co-Chair:

Satish Nune
Pacific Northwest National Laboratory (PNNL), Richland, WA

Abstract Submissions Closed
See more of this Group/Topical: Materials Engineering and Sciences Division