Abstract: This disclosure describes a system and method for generating a subsurface model representing lithological characteristics and attributes of the subsurface of a celestial body or planet. By automatically ingesting data from many sources, a machine learning system can infer information about the characteristics of regions of the subsurface and build a model representing the subsurface rock properties. In some cases, this can provide information about a region using inferred data, where no direct measurements have been taken. Remote sensing data, such as aerial or satellite imagery, gravimetric data, magnetic field data, electromagnetic data, and other information can be readily collected or is already available at scale.

Abstract: A method is provided for enhancing the gas barrier properties of substrates such as materials used in packaging, by applying a composition comprising a vinyl alcohol/vinyl amide copolymer, a cross linker and, optionally, a diacrylate or other polyacrylate and a photo initiator to the material and curing the composition by irradiation with UV light, visible light, IR irradiation and/or electron beam or by exposure to heat. The method includes the optional step of subjecting the material to a low-temperature plasma discharge or a corona discharge prior to applying the composition. The method provides, for example, packaging materials, such as, flexible packaging materials such as plastic films producing packaging materials with excellent gas barrier properties, for example oxygen barrier properties, which are readily printed upon.