New Program Supports Machine Learning in the Chemical Sciences and Engineering – Newswise


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Newswise The Camille and Henry Dreyfus Foundation announces the establishment of a new program for Machine Learning in the Chemical Sciences and Engineering. The goal of this program is to further the understanding and applications of machine learning throughout the chemical sciences. This program is open to academic institutions in the States, Districts, and Territories of the United States of America that grant a bachelors or higher degree in the chemical sciences, including biochemistry, materials chemistry, and chemical engineering. The deadline is April 2, 2020.

"In view of the increasing attention to and expectations for the profound impacts that artificial intelligence and data science will have on physical science and engineering, the Dreyfus Foundation plans to make strategic investments in machine learning for the chemical sciences and engineering, both to advance the field in these areas, and to help position the chemical sciences field to best avail itself of the broad agency opportunities for research support that are emerging. We are enthusiastic about the potential for machine learning to produce useful fundamental and practical insights in chemical research." -Richard N. Zare and Matthew V. Tirrell, Camille and Henry Dreyfus Foundation, Scientific Affairs Committee of the Board of Directors.

Below are some examples of areas this program may support:

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

Please contact if you have questions regarding a grant application. Additional details are available at

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New Program Supports Machine Learning in the Chemical Sciences and Engineering - Newswise

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