Award Data

In this STTR project, Akita Innovations, Adaptive3D and Prof. Ronald Smaldone will team to develop highly loaded, porous MOF elastomer resin systems that can be fabricated into unique architectures via digital light processing (DLP) additive manufacture. The project will leverage Prof. Smaldone’s unique research at the interface of organic framework materials and additive manufacture with Adapti ...

Storagenergy Technologies Inc. proposes a novel methodology that allows for the 3D printing of different wholly thermally cured thermosets in a fast and precise fashion mask-image-projection-based -Stereolithography (MIP-SLA) additive manufacturing process. The proposed MIP-SLA based approach has several advantages over other technologies for additive manufacturing of thermoset polymers, including ...

The program addresses algorithm development in critical areas that have received little or no attention in the past, including mixtures of chemical vapors, single and mixed chemical aerosols, mixtures of bio aerosols, and mixtures of chemical vapors. New approaches based on parallel extraction of material spectral dependence of the material in parallel with its path-integrated concentration and no ...

The techniques of linear filtering have contributed tremendously in missile guidance and modern radar technology. However, they can only serve as a first order approximation to the infinite-dimensional nonlinear filtering problem. Solutions to theseproblems are known in theory, and with the explosive growth of high performance computing, they have also increasingly become available in terms of ...

The techniques of linear filtering have contributed tremendously in missile guidance and modern radar technology. However, they can only serve as a first order approximation to the infinite-dimensional nonlinear filtering problem. Solutions to these problems are known in theory, and with the explosive growth of high performance computing, they have also increasingly become available in terms of ...

This STTR project will develop and validate a robust, scalable computational capability for the simulation of weapon-target interactions of interest to the Army. The proposed algorithm is based on the FLIP (Fluid Implicit Particle) - MPM (Material PointMethod) - MFM (Multiphase Flow Method) approach and the CartaBlanca nonlinear solver environment developed at Los Alamos National Laboratory. Car ...

This STTR project will develop and validate a robust, scalable computational capability for the simulation of weapon-target interactions of interest to the Army. The proposed algorithm is based on the FLIP (Fluid Implicit Particle) - MPM (Material Point Method) - MFM (Multiphase Flow Method) approach and CartaBlanca nonlinear solver environment developed at Los Alamos National Laboratory. CartaB ...

Polymer electrolyte membrane (PEM) fuel cells are candidates to fill the Army's need for high-energy lightweight power sources. Methanol is a more convenient fuel source than gaseous hydrogen, but requires advanced membrane materials and alternativeprocessing. SRL with partners Tulane University and Northeastern University has demonstrated Electron-Beam-crosslinked polyphosphazene membranes with ...

The goal of this program is to use Blind Source Separation (BSS) signal processing techniques to create a novel multi-axis controller for prosthetic limbs based on surface EMG electrode array recordings.

The enhanced capability point bio and chem sensor is based respectively on the recently discovered phenomenology of biological aerosol differential backscatter in the long wave infrared proven in field trials with a standoff sensor and on differential absorption. The novel point sensor will use compact, wavelength agile transmitters, including quantum cascade lasers and/or miniature CO2 lasers ope ...