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Data Science for Knowledge Discovery for Chemical and Materials Research is sponsored by DOE SC Basic Energy Sciences (BES). This funding opportunity aims to advance the use of modern data science approaches (artificial intelligence, machine learning, graph theory, uncertainty quantification, etc.) to accelerate discovery in chemical and materials sciences. The program supports single investigator/small group efforts.
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Or search similar grants →According to the current listing, eligibility includes: All types of applicants are eligible to apply, except Federally Funded Research and Development Center (FFRDC) Contractors, and nonprofit organizations described in section 501(c)(4) of the Internal Revenue Code of 1986 that engaged in lobbying activities after December 31, 1995. Individual applicants are unlikely to possess the skills, abilities, and resources required to successfully accomplish the objectives of this FOA. Confirm the full requirements in the official notice before applying.
The current listing shows up to $500,000 per year. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Data Science for Knowledge Discovery for Chemical and Materials Research is funded by DOE SC Basic Energy Sciences (BES). Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
Past winners and funding trends for this program
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