Award Data

Autonodyne has been at the forefront of autonomy in aviation for two decades, applying autonomy in every aspect of aviation. The last 5 years’ efforts have brought the same avionics, autonomy, and interfaces to unmanned aviation, both for DoD and for the emerging Urban Air Mobility (UAM and Advanced Air Mobility - AAM) market. Autonodyne was hand selected by NASA/FAA to bring our expertise in Au ...

Semiconductors electronics is integral to America’s economic and national security as manifested by the CHIPS act. Ever-increasing materials requirements for semiconductor R&D, combined with the advent of machine learning, and availability of materials databases, pose a need to understand and exploit these methods for acceleration of the materials and manufacturing lifecycle. The proposal aims t ...

From 2012-2015 the world’s first printed amperometric gas sensors were developed at KWJ Engineering Inc. as the subject of an NSF SBIR. The patented technology was used to found SPEC-sensor LLC and obtain commercial funds. More than one million sensors have been sold using SPEC’s patented designs, which led to the recent acquisition by Interlink Electronics, Inc. The next challenge is to grow ...

Over a decade ago, scientists at the National Institute of Standards and Technology (NIST) invented a cold cathode electron field emitter with the potential to disrupt the state of the art for imaging and communications systems. NIST showed that these devices, comprising nanoporous silicon carbide structures of various hierarchical shapes, can emit electrons from their surfaces purely by applicati ...

Engineered biological systems can enable the template-directed synthesis of biopolymers such as proteins and peptides with desirable material properties and functions. The cellular engine of this process, the ribosome and associated translation apparatus, drives the polymerization of hundreds to thousands of amino acid monomers into sequence-defined biopolymers with speed, efficiency, and accuracy ...

Project FORCIS investigates solutions to the challenging problem of few-shot object detection. FORCIS leverages synthetic training data generated by simulation engines which are dynamically parameterized to maximize utility to a downstream deep-learning algorithm. We explore this approach, inspired by advances in the Reinforcement Learning (RL) branch of machine learning (ML), and contrast it agai ...

Global migration reached a staggering record of over 280 million migrants in 2020, a number that has almost quadrupled over the past 60 years. The share of the world’s population that are migrants has also markedly increased, now nearing 4% of the global population. As these numbers continue to rise, it is increasingly unsustainable for researchers in the population migration modeling (PMM) comm ...

High performance underwater operation with low probability of detection in challenging areas can provide significant value across many naval missions. There is an ongoing desire for greater range, endurance, and speed for unmanned underwater vehicles (UUVs). Bio-informed UUV designs offer potential improvements, particularly in swimming speed. Boston Engineering is proud to offer “bio-robotics c ...

Although metal additive manufacturing (AM) technologies have demonstrated capabilities for producing complex geometries beyond those of traditional manufacturing of subtractive or multi-part assembly, wider AM adaptation is limited by low throughput and poor material quality. Consequently, AM fabricated parts are costly and unable to meet demand where dynamic failure is unacceptable. Triton System ...

Ultra-Wide bandgap materials such as GaN and Ga2O3 are emerging as preferred materials in high power applications due to their high breakdown field. The thermal dissipation is poor in both those materials due to low thermal conductivity. A high thermal conductivity material such as SiC is used as a growing substrate, however, the thermal conductivity is still limited due to defects in the interfac ...