Award Data

The mechanisms guiding nanocatalysis are poorly understood and extremely hard to model. Proposed effort attempts to provide a machine learning based platform that would guide the design of nanocatalytic materials for a variety of applications, beginning with the use of case of chloro-organic contaminant remediation. The current approaches either use conventional molecular dynamics coupled with ab ...

Fossil Energy (FE)-based modular power systems are a growing market that can meet the demand of rural and isolated areas both domestically and abroad. Many of these systems, also known as Radically Engineered Modular System (REMS), provide power and/or heat for farms, homes, and other industrial processes. The concept is to produce syngas (synthetic natural gas) from coal and readily available bio ...

Nuclear fusion has great potential for supplying global energy needs with a clean, abundant energy source. Advanced superconducting magnets will be used to contain the plasma at the center of the reactor. To operate these magnets, new sensors are needed to monitor the superconductors in real-time to detect the signs that the superconductor may quench (lose superconducting properties), so that corr ...

Plug-in hybrid electric vehicles (PHEVs) represent a growing segment of the U.S. passenger vehicle market. An increasing number of PHEV models are available to consumers. PHEVs are similar to parallel hybrid vehicles like the Toyota Prius in that they have an electric motor and internal combustion engine that are used synergistically to significantly reduce fuel consumption while maintaining a nea ...

Graphene nanomaterials offers multiple technical benefits in printed electronics, structural materials, displays, capacitors, high-performance computing applications, and especially energy storage where researchers have reported a five-fold increase in the charge rate of a graphene- enhanced Li-ion battery. Historically, industrial production of graphene nanomaterials has been hindered by the need ...

The discovery of advanced materials and molecules is difficult and largely an experimental endeavor. Computers are used to simulate materials and molecules but rarely to design them. We aim to demonstrate that novel materials and molecules can be computationally “evolved” using Genetic Programming, and we will develop: (1) Atomically precise membranes that would separate molecules at a fractio ...

This proposal is submitted in response to the SBIR/STTR Office of Science related to Quantum Information Science (QIS) Supporting Technologies. There is the need for fabrication techniques for scalable 3D Superconducting Radio Frequency (SRF) Structures for Quantum Information Systems. In this proposal we will develop an additive manufacturing approach to developing superconducting 3D microwave re ...

Fusion plasma devices at various DOE and international facilities need high-speed diagnostic tools to understand, predict, and control fusion plasmas. Thomson scattering (TS) at tens of Hz has routinely measured electron temperature (Te) and electron number density (ne) inside the plasma system. However, at these data rates traditional TS can obtain only a sparse data set, which significantly limi ...

This project will develop a flexible longitudinal electron optical system based on high-precision radio-frequency cavities for short and intense electron bunch compressions, both in the energy and time domains. The proposed system is designed to be insertable into an existing transmission electron microscope column to upgrade its temporal resolution. Active phase-space control enables broad ranges ...

Formic acid (FA, CH2O2) is the simplest carboxylic acid. It is mainly used as a preservative and antibacterial agent in livestock feed. A significant fraction of FA is used in the leather-processing, textile and rubber industries and a small fraction of formic acid is used as a cleaning agent replacing mineral acids. Aqueous FA is a promising liquid hydrogen-storage carrier with a hydrogen storage ...