1. NSF CHEWorkshop: Framing the Role of Big Data andModern Data Science in Chemistry. Available at: https://www.nsf.gov/mps/che/workshops/data_ chemistry_workshop_report_03262018.pdf (accessed December 21, 2018).
2. Mission Innovation: Materials Acceleration Platform: Accelerating Advanced Energy Materials Discovery by Integrating High-Throughput Methods with Artificial Intelligence Report of the Clean Energy Materials Innovation Challenge Expert Workshop. Available at: http://mission-innovation.net/wp-content/uploads/2018/01/Mission-Innovation-IC6-Report-Materials- Acceleration-Platform-Jan-2018.pdf (accessed December 21, 2018).
3. Multi-Agency, Multi-Year Program Plan in Advanced Energy Materials Discovery, Development, and Process Design: Available at: https://www.energy.gov/sites/prod/files/2018/12/f58/Multi-Agency%20Multi-Year% 20Program%20Plan%20in%20Advanced%20Energy%20Materials% 20Discovery%20Development%20and%20Process%20Design_Workshop% 20Summary%20Report.pdf (accessed December 21, 2018).
4. A.B. Henson, P.S. Gromski, and L. Cronin: Designing algorithms to aid discovery by chemical robots. ACS Cent. Sci. 4, 793–804 (2018).
5. D.P. Tabor, L.M. Roch, S.K. Saikin, C. Kreisbeck, D. Sheberla, J.H. Montoya, S. Dwaraknath, M. Aykol, C. Ortiz, H. Tribukait, C. Amador-Bedolla, C.J. Brabec, B. Maruyama, K.A. Persson, and A. Aspuru-Guzik: Accelerating the discovery of materials for clean energy in the era of smart automation. Nat. Rev. Mater. 3, 5–20 (2018).