Ames National Laboratory’s work is featured on the website of Software for Chemistry & Materials (SCM) as a case study in advanced computational research. The article highlights how Ames researchers used SCM’s simulation tools to predict radical performance in Overhauser Effect DNP—bridging computation and experiment to accelerate materials discovery.
This recognition showcases the Lab’s capabilities in applying high-performance modeling to real-world scientific challenges and reflects the strength of our collaborations with leading software developers.
Read the full highlight: SCM Case Study – Ames Lab
Published In:
Chemical and Biological Sciences