Assistant Secretary of the Army for Acquisition, Logistics, and Technology ASA(ALT) releases contract opportunities on an ad-hoc basis to meet Army research and development needs.
Current methods vaporize Ge from the feedstock (Zn ores) to produce a fume (condensed vapors) followed by leaching and precipitation that yields a 1 to 15% Ge. This topic seeks processes which can yield > 60% Ge concentrates, which in turn can be purified and zone melted to produce ingot forms.
Advanced Pyrometallurgical Feedstock Processing to Produce Germanium Read More »
This topic accepts Phase I proposals submissions for a cost up to $250,000 for a 6-month period of performance.
Additive Manufacturing for High-Density Materials Read More »
This open topic accepts both Phase I and Direct to Phase II submissions. Phase I proposals are accepted for a cost up to $250,000 for a 6-month period of performance and Direct to Phase II proposals are accepted for a cost up to $2,000,000 for a 24-month period of performance. All submissions most address the following 6 AI sub-fields: Synthetic data generation in a format applicable to a given situation that is not obtained by direct measurement. This includes visual, textual, video, geospatial, and sensor data.
Artificial Intelligence/ Machine Learning (AI/ML) Focused Open Topic Read More »
This open topic accepts both Phase I and Direct to Phase 2 submissions. All submissions most address the following 6 sub-fields
Hybrid Electric Powertrain, Power and Propulsion Systems (HEPPS) Open Topic Read More »
The Army is seeking low-cost, high-yield domestic production processes for laminated metallic armor plates and high strength structural components that can be readily integrated into vehicle structures using existing welding processes. This type of armor and components would allow for significant reduction in weight while maintaining the same level of force protection.
Laminated Metallic Armor Read More »
This Army SBIR solicitation is for artificial intelligence and machine learning-driven methodologies that can control the production processes for Nano-Nitramines. The Army seeks to produce the most efficient, effective formulations currently known in an agile and flexible manner. AI/ML-driven manufacturing and formulation science can apply “cradle to grave” for Nano-Nitramines, and can enable their widespread adoption by making research and production automated.
AI-Driven Production of Coarse- and Nano-Nitramines Read More »
This Army SBIR project will develop field-level maintenance and repair of weapon systems electronics that shorten supply chain latency for electronic component repairs. The solution must screen electronic components for no evidence of failure at the source in the tactical unit.
AI-Enhanced TPS Development and Sustainment Read More »
With the increasing availability of digital imagery, including satellite data for electro-optical/infrared, synthetic aperture radar and full-motion video, there is a growing need for automated methods to efficiently process and analyze vast amounts of multi-modal data.
Robust Computer Vision for Better Object Detection with Limited Training Data Read More »
The U.S. Army wants to develop a diode bar with multi-watt (5-10W) power output per emitter. This will help maintain single-mode operation when coupled to an external wavelength beam combiner.
High-Power Single Mode Diode Bars Read More »
The small business must develop a radio-agnostic Software Radio Head System that can rapidly adapt a radio carrier frequency among diverse targeted frequency bands via analog and/or digital frequency conversion.
Software Defined Radio Head Read More »
