Merging Big Theory With Big Data for
Energy and Water Industries
We have developed a state-of-the-art cloud platform using a novel sicentific paradigm which blends physics-chemistry modeling with data-driven methods. It enhances machine learning approaches to complement coupled physical and (bio)(geo)chemical simulations. Leveraging AI, advanced 3D physics-chemistry simulations and latest imaging tools, a customized module called aiRock has been developed for oil and gas industry.
DOE-SBIR Phase I Grant
It is an honor and privilege to announce that, AquaNRG has been awarded $150,000 Department of Energy’s Small Business Innovation Research (DOE-SBIR) grant. AquaNRG will develop a cloud-based web application for simulation of coupled physical and chemical processes in various energy and material systems.
NSF-SBIR Phase I Grant
AquaNRG has been awarded $225,000 National Science Foundation Small Business Innovation Research (NSF-SBIR) grant. Using this award, AquaNRG will merge its physics-chemistry platform with data-driven methodologies to deliver more robust and computationally-efficient predictive tools.
DOE-SBIR Phase II Grant
We are pleased to announce that AquaNRG has been awarded $1,000,000 Department of Energy’s Small Business Innovation Research (DOE-SBIR) Phase II grant. AquaNRG will continue developing the cloud-based web application for simulation of coupled physical and (bio)(geo)chemical processes.