Machine Learning in the Chemical Sciences and Engineering

NEW Deadline:  April 16, 2020
Announcement:  early August 2020

The Dreyfus program for Machine Learning in the Chemical Sciences and Engineering provides funding for innovative projects in any area of Machine Learning (ML) consistent with the Foundation’s broad objective to advance the chemical sciences and engineering. The Foundation anticipates that these projects will contribute new fundamental chemical insight and innovation in the field.

Eligibility

This program is open to academic institutions in the States, Districts, and Territories of the United States of America that grant a bachelor’s or higher degree in the chemical sciences, including biochemistry, materials chemistry, and chemical engineering. Principal investigators are limited to one proposal annually. Awards are not made directly to individuals.

Selection

The Foundation encourages proposals to significantly stimulate and accelerate the development of the use of ML and other related aspects of data science to the Chemical Sciences and Engineering. Below are some examples this program may support:

  • molecular synthesis, including mechanisms, techniques, and applications
  • theory, computation, physical properties of molecules or materials
  • rates and mechanisms of new chemical processes
  • new or improved materials and materials applications
  • postdoctoral support for collaborations that combine chemical science research with ML expertise
  • collaborative sabbaticals, extended visits, and meetings
  • education, e.g., new courses, seminar series, MOOCs,…
  • public libraries of chemistry and chemical engineering data for use in ML

Note that proposals are not restricted to the areas described above.

Budget

The amount of support requested is determined by the applicant. Partial contributions to larger scale efforts will be considered. Charges associated with indirect costs or institutional overhead are not allowed. Award funds are intended for the purposes described in the proposal and any major changes in the project’s objectives, budget, or time frame require Foundation approval.

Application Procedure

Proposals must be emailed by the deadline noted above. Applications recommended for approval are presented to the Foundation’s Board of Directors in time for award announcements in early August. The application should be formatted on 8 1/2 x 11 inch paper using 12-point font size and consist of:

  1. The online application form
  2. A one or two paragraph equivalent of an executive summary
  3. In three or fewer pages (including references), a description of the project in detail and its anticipated impact
  4. A one-page CV of each of the principal personnel
  5. A one-page categorical budget that includes an estimate of when the Dreyfus-funded activities will conclude. If this is part of a larger project, provide an overview of the total budget and other sources of support.

Send all the above materials as a single PDF to: programs@dreyfus.org.

Reports

Brief technical and financial reports are due annually. A more comprehensive final report is to be submitted when the project is essentially completed. This report should include:

  1. Accomplishments of the funded project
  2. Categorical financial report
  3. An optional statement of newsworthy stories concerning the project

Send all above materials as a PDF to: programs@dreyfus.org

Additional information
  1. Publications and presentations describing work supported by the award should acknowledge the Dreyfus Program for Machine Learning in the Chemical Sciences and Engineering
  2. Procedural questions may be directed to the Foundation office by telephone at 212-753-1760 or e-mail at programs@dreyfus.org
555 Madison Avenue, 20th Floor
New York, NY 10022-3301
(212) 753-1760
admin@dreyfus.org