Sponsor Deadline
Posted: 4/18/2022

Data Science to Advance Chemical and Materials Sciences

The DOE SC program in Basic Energy Sciences (BES) announces its interest in receiving new applications from teams of investigators expanding the integration of data science methods with BES research disciplines, to accelerate scientific discovery and overcome difficult challenges in these fields. This FOA is focused on new applications that will take advantage of the rapid growth of data science, including artificial intelligence (AI) and machine learning (ML) methodologies. The FOA will support teams of investigators for synergistic computational, experimental, and theoretical research covered by the research areas in the BES divisions of Chemical Sciences, Geosciences, and Biosciences (CSGB) and Materials Sciences and Engineering (MSE). The focus of the proposed research must be on science-based, data-driven approaches enabling solutions for fundamental basic energy sciences challenges not possible otherwise. The goal of the application should be to integrate novel data science, uncertainty quantification, and other AI and ML approaches with domain sciences to uniquely advance the understanding of fundamental properties and processes relevant to chemical and materials systems, and achieve predictability of functions and behavior under dynamic conditions.

Applicant institutions are limited to no more than two (2) pre-applications and applications as the lead institution. There is no limit on the number of pre-applications on which an institution may appear as a partner (not the lead institution).

Deadlines:

  • Duke Internal: Interested applicants from within Duke should contact dukeiln@duke.edu as early as possible. There are no open spots remaining for this cycle.
  • Required Pre-application: April 14, 2021
  • Application: June 1, 2021
Areas of Interest

The general scientific goal of this initiative is to understand and predict complex and multiscale phenomena in chemical and materials systems, with focus on five topics:

• Topic 1 – Heterogeneous and multiscale phenomena

• Topic 2 – Collective phenomena

• Topic 3 – Reactive and far from equilibrium pathways

• Topic 4 – Rare spatio-temporal phenomena

• Topic 5 – Multimodal/multi-messenger approaches

Eligibility Requirements

Applicant institutions are limited to no more than two (2) pre-applications or applications as either a single-institution applicant or as the lead of a multi-institutional team. There is no limit on the number of pre-applications on which an institution may appear as a partner (not the lead institution).

An individual is limited to being named as the Lead PI on no more than one (1) submission.

Amount Description

Ceiling $1,200,000 per year

Floor $400,000 per year

Funding Type
Eligibility
Posted
4/18/2022
Deadline
Sponsor: