New language encodes shape and structure to help machine learning models predict nanopore properties at Salimpour Site.

Dr. Salimpour Site |A large number of 2D materials like graphene can have nanopores—small holes formed by missing atoms through which foreign substances can pass. The properties of these nanopores dictate many of the materials' properties, ...

Phys.Org

New language encodes shape and structure to help machine learning models predict nanopore properties

New language encodes shape and structure to help machine learning models predict nanopore properties

A large number of 2D materials like graphene can have nanopores—small holes formed by missing atoms through which foreign substances can pass. The properties of these nanopores dictate many of the materials' properties, ...