Accelerated Molecular Discovery (AMD)

The Defense Sciences Office (DSO) at the Defense Advanced Research Projects Agency (DARPA) is soliciting innovative research proposals in the area of autonomous molecular design to accelerate the discovery, validation and optimization of new, high-performance molecules for Department of Defense (DoD)

needs.

Specifically, DARPA seeks to develop new, systematic approaches that increase the pace of discovery and optimization of high-performance molecules through development of closed-loop systems that exploit, build and integrate tools for:
1) extracting existing data from databases and text; 2) executing autonomous experimental measurement and optimization; and 3) incorporating computational approaches to develop physics-based representations and predictive tools.

Such methods will ultimately enable AI-based design and discovery of completely new molecules that are optimized across multiple molecular properties for specific DoD applications.

Proposed research should investigate innovative approaches that enable revolutionary advances in science, devices, and systems related to small organic molecules.

Specifically excluded is research that primarily results in evolutionary improvements to the existing state of practice.
Related Programs

Research and Technology Development

Department Of Defense


Agency: Department of Defense

Office: DARPA - Defense Sciences Office

Estimated Funding: $37,250,000


Relevant Nonprofit Program Categories





Obtain Full Opportunity Text:
FedBizOpps Announcement

Additional Information of Eligibility:
All responsible sources capable of satisfying the Government's needs may submit a proposal that shall be considered by DARPA.

See the Eligibility Information section of the BAA for more information.

Full Opportunity Web Address:
https://www.fbo.gov/index?s=opportunity&mode=form&id=dce9a69eca4f0f4d0c789ed6dcc2475c&tab=core&_cview=1

Contact:


Agency Email Description:
Contact Janice Young at (301)443-6739 or email jyoung2@hrsa.gov

Agency Email:


Date Posted:
2018-10-19

Application Due Date:


Archive Date:
2019-02-13



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