CX-018617: A Machine Learning Based Discrimination Aided Discovery Platform for High Throughput Screening of Multifunctional CX

Categorical Exclusion Determination

Office of NEPA Policy and Compliance

August 10, 2018
minute read time

Artificial Neural Network models would be built based on reactivity descriptors that are specific to adsorbate molecular geometry and nanoparticle feature site. Sensitivity analyses would be done to improve the initial training of data sets for a similar set of contaminants.  

CX-018617.pdf (504.74 KB)