Efficient water desalination with graphene nanopores obtained using artificial intelligence

Water desalination across nanoporous graphene.

We show that nanometer-scale pores in single-layer freestanding graphene can effectively filter NaCl salt from water. Using classical molecular dynamics, we report the desalination performance of such membranes as a function of pore size, chemical functionalization, and applied pressure. Our results indicate that the membrane's ability to prevent the salt passage depends critically on pore diam...

Multilayer Nanoporous Graphene Membranes for Water Desalination.

While single-layer nanoporous graphene (NPG) has shown promise as a reverse osmosis (RO) desalination membrane, multilayer graphene membranes can be synthesized more economically than the single-layer material. In this work, we build upon the knowledge gained to date toward single-layer graphene to explore how multilayer NPG might serve as a RO membrane in water desalination using classical mol...

Immunoassays Using Artificial Nanopores

Reasons for Extraction Obtained by Artificial Intelligence

Artificial intelligence (AI) is the subfield of computer science concerned with projection of intelligent machines, software, and algorithms. By way of computer-assisted monitoring of dental patients, the amount of raw electronic data markedly enlarges, creating the possibility of using AI in scientific analysis. In order to prevent the reasons and diminish the need for dental extraction, it is...

Antibody Subclass Detection Using Graphene Nanopores.

Solid-state nanopores are promising for label-free protein detection. The large thickness, ranging from several tens of nanometers to micrometers and larger, of solid-state nanopores prohibits atomic-scale scanning or interrogation of proteins. Here, a single-atom thick graphene nanopore is shown to be highly capable of sensing and discriminating between different subclasses of IgG antibodies d...