The Camille and Henry Dreyfus Foundation announces the Thursday, April 8, deadline for the 2021 Dreyfus Program for Machine Learning in the Chemical Sciences and Engineering. The program 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 these projects will contribute fundamental chemical insight and innovation in the field.
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 of areas 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. Additional details are available at the Foundation website