Award Data

In this program, Morton Photonics (MP) and its STTR partner Professor John Bowers and his research group at the University of California at Santa Barbara (UCSB) will develop two truly disruptive integrated laser devices: (1) A broadly tunable integrated laser with ultra-low linewidth, ultra-low relative intensity noise (RIN), and high output power; the Integrated Coherent Tunable Laser (ICTL), whi ...

Nanoscale, material sensitive, imaging techniques are critical for progress in many disciplines as we learn to master science and technology at the smallest dimensions — on the nanometer to atomic-scale. However, progress in both science and technology is becoming increasingly limited by the constraints of current imaging techniques and metrologies. Fortunately, by combining coherent extreme UV ...

This Phase II project aims to assemble the key set of sensor modalities that are needed to reliably view the key process anomalies and properties of laser powder bed fusion. The research team will down-select from the Phase I sensors investigated and integrate the sensors into a sensor fusion software package that facilitates data collection and synchronization, and eventually feedback control of ...

Using a combination of parallel processing and explorative visualization, a new and exciting solution for high-performance visual analysis of large multidimensional data is proposed. Steady volume flows are selected to demonstrate the strategy, methodology, techniques, and functionalities. Virtual Reality (VR) and Augmented Reality (AR) platforms will be adopted to unleash the power of explorative ...

he Storable Clean Ethane-ethylene Nitrous Engine (SCENE) is a proposed technology designed to provide upper stages and spacecraft with non-toxic, liquid, non-cryogenic, high-performance propulsion with an Isp on the order of 300 seconds. The propellant components are stored as liquids under their saturated vapor pressures. With the SCENE, nitrous oxide is used as an autogenously pressurized oxidiz ...

Based on the results of our Phase I work, one significant barrier to optimizing battery performance lies in understanding the relationship between bulk solids and particle flow properties and the flow into the die. Our hypothesis: an increase in quality batteries production can be achieved if powder preparation process can be optimized and the die filling process controlled. We feel that control o ...

Metallic additive manufacturing (AM) is an attractive technology for the production of lethality test articles due to the potential for significantly reduced lead time and manufacturing cost. However, in order to be effective in providing accurate lethality data, the properties of the AM material have to match closely the properties of conventionally manufactured alloys found in real threat target ...

Intelligent Automation Inc. (IAI) proposes the design and implementation of the Target Recognition with the Assistance of Artificial Intelligence (TRACE) system that incorporates classical model-based target classification and identification approaches with data-driven machine learning solutions to improve the target classification accuracy. The outcome of the TRACE systems is a set of machine lea ...

The littoral and specifically surf zone regions with breaking waves, bathymetry, weather, currents, tides, obstacles, etc. create a dynamic environment that can be very challenging for conducting operations. Systems are being developed to increase situational awareness in this region, however expensive physical testing to verify performance is limited to specific areas and conditions. To supplemen ...

Waste heat from Naval diesel generators provides significant opportunity to introduce organic Rankine cycles (ORC) to increase their fuel efficiency. The objective of the proposed effort is to design and demonstrate a high-speed, spinning scroll expander (HiSSSE) ORC as a power dense waste heat recovery system for diesel generators on ships. The system will leverage Air Squared’s spinning scroll ...