You will hear about an extraordinary innovation in 3D printing using carbon fiber composites. You will hear about the material advancements that make it possible and the market potential for printing complex parts of this lightweight, yet stronger than steel material suitable for the aerospace industry and beyond.

You will hear about the LLNL developed Radiation Field Training Simulator (RaFTS). The prototyped systems enable first responders to be trained for radiological and nuclear incidents using real instrumentation in realistic scenarios.

LLNL biomedical scientists have developed a molecular diagnostics platform called Bio ID. The prototyped, tested and validated system detects DNA or RNA very quickly with a color change readout all housed in a compact, portable format. Human health, agriculture and public health surveillance applications all rely on diagnostic tests for pathogens.

Microencapsulated CO2 sorbents (MECS) are carbon capture media composed of core-shell microcapsules, which consist of a highly permeable polymer shell and a fluid (made up of sodium carbonate solution) that reacts with and absorbs carbon dioxide (CO2). A team of researchers recently completed the Department of Energy Lab-Corps Pilot Program, an intensive eight-week entrepreneurial boot camp, where they were able to perform customer discovery and market research for the application of this technology for breweries.

Mandated renewable energy generation and storage in California looms large in the near future. A cost effective power generation system requires a cost effective integration of Base, Cycling and Intermittent power generation and storage. The economics of the trade-offs between the four will be discussed.

You will hear about LLNL technology to nondestructively test water in solar panels. Quantifying and pinpointing the location of water decreases the uncertainty and increases reliability in solar panel manufacturing.

You will hear about the business model development and market validation performed for LLNL's capacitive desalination technology through the Department of Energy's Lab-Corps pilot program.

You will hear about exciting research at LLNL using 3D printed biological materials to catalyze methane to methanol—with the potential for any gas-to-liquid biocatalytic process. This is bioprinting with great environmental potential.

You will hear about how LLNL scientists are making ultrathin free-standing films. These extraordinary films and their easy fabrication methods will be presented and we hope our audience can provide a discussion on market applications of free-standing polymer films.

You will hear about LLNL's Micro Miners team and their technology that uses bacteria to extract rare earth elements from geothermal fluids. They will present a business model developed through customer discovery as part of the Department of Energy's Lab-Corps program, an intensive training program focusing on moving high-impact, real-world technologies out of the laboratory and into the private sector

You will hear about bulk nanoporous metals and the wide array of potential applications using these metals.

You will hear about the innovative methods being used to optimize commercial building management systems and save up to 30% with minimal upfront capital. C-BEST, the commercial building energy savings technology, uses deep machine learning, self-modeling, and predictive strategies to optimize HVAC control systems and reduce the building energy usage significantly, without the burden of expensive audits or retrofits.

You will hear about a software tool to utilize modeling and simulation to optimize product development and risk management. The Simrev tool shows great promise for maximizing the parallelization of the product engineering design phase.

You will hear about graphene materials developed at LLNL. These materials can be synthesized in "bulk" form, or 3D macroassemblies. This new product form for graphene could potentially open up new applications for this promising material.

You will hear about an LLNL project to analyze renewable energy generation data resulting in energy policy and technology design guidance. LLNL’s unique capability in uncertainty modeling applied to a data-intensive problem results in real-world recommendations for the energy industry.