- Short report on the workshop on Thermal Energy Storage Materials Acceleration Platform, TESMAP (released November 28, 2019)
- As part of Berlin Science Week, an IC6 panel discussion will be held on November 8th 2019 to explore the benefits and challenges of integrating artificial intelligence to accelerate the discovery of new materials for use in the energy sector.
- An IC6 side event was held at MI-4 in Vancouver, Canada in May 2019. The Global Program Strategies for the Creation of MAPs covered National Research Council activities in Canada and discussion around major new investments in clean energy materials.
- Representatives of IC6 and relevant stakeholders met in New Delhi, India on February 21-22, 2019 to discuss priorities for IC6. An informed expert dialogue was facilitated to assist in bridging knowledge gaps in key areas and also to better understand the linkages of new high performance, low-cost clean energy materials for the energy sector.
- An IC6 European meeting, held in Rome, Italy in October, 2018, brought together experts from around the world to identify critical research and development priorities and gaps in clean energy materials innovation processes and explore opportunities for deeper collaboration.
- An IC6 Business Day Meeting was held in Malmö, Sweden in May 2018. Advanced science instruments, such as the European Spallation Source and MAX IV, were considered in the context of clean energy materials development of the future. Experts from universities and companies discussed future possibilities and made recommendations to Mission Innovation.
- An IC6 industry meeting on Self-driving materials laboratories: The next paradigm for accelerated discovery was held in May 2018 in Toronto, Canada. The goal of the meeting was to explore opportunities for private sector companies to collaborate in this initiative and work with researchers to develop and deploy this disruptive new approach to materials discovery.
- An IC6 workshop on Structural materials and 3D printing was held in March 2018 in Hamilton, Canada. Attendees engaged in technical discussions on the state of the field, pre-competitive R&D opportunities, and promising R&D directions.
- The IC6 workshop report Materials Acceleration Platform: Accelerating Advanced Energy Materials Discovery by Integrating High-Throughput Methods with Artificial Intelligence was published in January 2018. The report is the product of a workshop held in September 2017 in Mexico City. Find out more, read the press release or see video of the event.
Participants: Australia, Denmark, European Commission, Finland, France, Germany, India, Italy, Mexico, Netherlands, Norway, Republic of Korea, Saudi Arabia, Sweden, United Kingdom, United States
Materials discovery is a key element of the innovation cycle of energy conversion, transmission, and storage technologies, as well as energy use. Development of next-generation energy technologies faces the challenge of finding and integrating new materials at a faster rate.
This Innovation Challenge aims to accelerate the innovation process for high-performance, low-cost clean energy materials and automate the processes needed to integrate these materials into new technologies. Participants will work on automating and/or improving each step of the innovation chain of new materials, such as the discovery, synthesis, data and performance assessment, and process design and scale-up with the goal of leveraging these to enable an integrated, end-to-end materials innovation approach or “platform.” The proposed unified framework will benefit all stages of the materials innovation process and will merge international advances from individual activities.
This initiative will benefit a wide range of energy sectors and applications. Specific application areas for new materials include, for example, advanced batteries and solar cells, low energy semiconductors, thermal storage, coatings for various applications, structural materials, and catalysts for the conversion and capture of CO2.
Even with current state-of-the-art technologies, the innovation process for the translation of new materials from laboratory to market can take 10 to 20 years and is very expensive. Accelerating and improving this process through international collaborative research and development (R&D) could result in major breakthroughs for the energy sector.
Materials design and discovery is a cross-cutting need for the entire energy technology portfolio. Accelerating the exploration, discovery, and integration of clean energy materials will expand the opportunities for speeding up the transition to a low carbon economy. This initiative can also transform other industries. Overall, this initiative has the potential to generate widespread economic benefits for countries around the world and for the global economy as a whole.
This Innovation Challenge will combine advanced theoretical and applied physical chemistry/materials science with next-generation computing, artificial intelligence (machine learning), and robotics tools, with the aim of creating a more fully integrated approach. Doing so could help model, simulate, predict, synthesize, characterize, and test the properties and performance of new clean energy materials up to 10 times faster (see Figure 1 and Figure 2).
Many of the technologies for the implementation of this Innovation Challenge have been developed and are used in separate domains. Machine learning, for example, is heavily employed in the information technology (IT) sector and has recently been applied to materials discovery, while advanced computational tools are common in the pharmaceutical industry and other sectors. The novelty and challenge of this initiative is the integration of the advances for separate parts of the materials innovation process into a single framework, or platform, to result in materials that can be successfully used in clean energy applications.
This clean energy materials innovation initiative will build on and expand multidisciplinary and international research collaborations. Mission Innovation countries will bring together leaders in science, industry and government to work on this common goal. These experts will start by identifying the current state of R&D, including research gaps, explore mechanisms for deeper collaboration, and highlight investment opportunities with the common goal of accelerating the materials innovation process. These efforts will also promote capacity building, information sharing, and high-impact R&D and technology development.
Langner, S.; Häse, F.; Perea, J.D.; Stubhan, T; Hauch, J.; Roch, L.M.; Heumueller, T.; Aspuru-Guzik, A.; Brabec, C.J. “Beyond Ternary OPV: High-Throughput Experimentation and Self-Driving Laboratories Optimize Multi-Component Systems” (2019) arXiv:1909.03511
Bölle, F.T.; Mathiesen, N.R.; Nielsen, A.J.; Vegge, T.; García Lastra, J.M.; Castelli, I.E. “Autonomous discovery of materials for intercalation electrodes” (2019) ChemRxiv: 9971054
MacLeod, B. P.; Parlane, F. G. L.; Morrissey, T. D.; Häse, F.; Roch, L.; Dettelbach, K. E.; Moreira, R.; Yunker, L. P. E.; Rooney, M. B.; Deeth, J. R.; Lai, V.; Ng, G. J.; Situ, H.; Zhang, R. H.; Aspuru-Guzik, A.; Hein, J. E.; Berlinguette, C. P. “Self-driving Laboratory for Accelerated Discovery of Thin-Film Materials” (2019) arXiv:1906.05398
Sun, S.; Hartono, N.; Ren, Z. et al “Accelerated Development of Perovskite-Inspired Materials via High-Throughput Synthesis and Machine Learning Diagnosis” Joule 3, 1437-1451 (2019) doi:10.1016/j.joule.2019.05.01
Alberi, K.; Nardelli, M.B; Zakutayev, A. et al “The 2019 materials by design roadmap” Journal of Physics D: Applied Physics 52, 013001 (2019) doi: 10.1088/1361-6463/aad926
Stein, H.; Gregoire, J.M. et al “Progress and prospects for accelerating materials science with automated and autonomous workflows” Chemical Science 10, 9640-9649 (2019) doi: 10.1039/C9SC03766G
Tabor, D.P.; Roch, L.M.; Saikin, S.K. et al. “Accelerating the discovery of materials for clean energy in the era of smart automation.” Nat Rev Mater 3, 5–20 (2018) doi:10.1038/s41578-018-0005-z
Correa-Baena, J-P; Hippalgaonkar, K.; Duren, J.; Jaffer, S.; Chandrasekhar, V.R.; Stevanovic, V.; Wadia, C.; Guha, S.; Buonassisi, T. “Accelerating Materials Development via Automation, Machine Learning, and High-Performance Computing” Joule 2, 1410-1420 (2018) doi: 10.1016/j.joule.2018.05.009
Sanchez-Lengeling, B.; Aspuru-Guzik, A. “Inverse molecular design using machine learning: Generative models for matter engineering” Science 361, 360-365 (2018) doi: 10.1126/science.aat2663
Roch, L.; Häse, F., Kreisbeck, C. et al “ChemOS: Orchestrating autonomous experimentation” Science Robotics 3, (2018) doi: 10.1126/scirobotics.aat5559
Roch, L.; Häse, F., Kreisbeck, C. et al “ChemOS: an orchestration software to democratize autonomous discovery” (2018) ChemRxiv:5953606
Mazzucato, M.; Semieniuk, G.; “UN Emissions Gap Report 2018 – Chapter 7: Bridging the gap: The role of innovation policy and market creation” United Nations Environment Programme (2018)
Mexico City, 2018: Advanced Materials Innovation Challenge: https://www.youtube.com/channel/UCDLIhOTv1o6_1jjxYRFz24g
Prof. Tejs Vegge on AiMade: https://youtu.be/xFRPXsO2dQo
Accelerated Materials Development For Manufacturing: https://www.youtube.com/watch?v=wy7a-Oh0u9o