Third Round NGP Grants

MIT Skoltech Next Generation Program; 3rd Round of NGP Grants

The third call for proposals for the Next Generation Program, in 2020, yielded 30 joint submissions for collaborative research-driven projects. Following reviews by a panel of internal and external experts and the NGP Steering Committee, 9 proposals have been selected for funding. The annual budget of each project will be up to 12.5 million rubles for the Skoltech portion and $200K–350K for the MIT one.

The Skoltech – MIT Joint Next Generation Program (NGP) covers the whole range of academic and institution development activities. That includes research, education, innovation and academic services towards establishing and promoting a mutually beneficial long-term bilateral collaboration between Skoltech and MIT, as well as further development of Skoltech work streams.

Multifunctional Fusion: Life-cycle enhancements via data-driven nanoengineering of advanced composite structures

MIT PI: Brian L. Wardle, Department of Aeronautics and Astronautics
SkT PI: Sergey Abaimov, Center for Design, Manufacturing, and Materials
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Elucidating the molecular foundations of an arms race between two major classes of bacteriophages and their hosts

MIT PI: Michael T. Laub, Department of Biology
SkT PI: Maria L. Sokolova, Center of Life Sciences
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New chalcogenide and chalcohalide semiconductors for environmental sensing and renewable energy

MIT PI: Rafael Jaramillo, Department of Materials Science and Engineering
SkT PI: Pavel Troshin, Center for Energy Science and Technology
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Atomic-level Understanding of Interface Structure Evolution and Engineering Guidelines for Next Li-ion Solid State Batteries

MIT PI: Jennifer L.M. Rupp, Department of Materials Science and Engineering
SkT PI: Artem M. Abakumov, Center for Energy Science and Technology
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Market Design for Electromobility: New Formulations, Models and Algorithms

MIT PI: Munther Dahleh, Department of Electrical Engineering and Computer Science
SkT PI: David Pozo, Center for Energy Science and Technology
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Learning-Paradigm Based Acquisition Techniques for Hand-Held Magnetic Resonance Imagers

MIT PI: Jacob White, Department of Electrical Engineering & Computer Science
SkT PI: Dmitry Dylov, Center for Computational and Data-Intensive Science and Engineering
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Unpaired learning from irregular geometric modalities

MIT PI: Justin Solomon, Department of Electrical Engineering & Computer Science
SkT PI: Evgeny Burnaev, Center for Computational and Data-Intensive Science and Engineering
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Energy-dense and Durable Nonaqueous Redox Flow Batteries enabled by Flowing Solid-state Capacity Boosters

MIT PI: Fikile Brushett, Department of Chemical Engineering
SkT PI: Keith Stevenson, Center for Energy Science and Technology
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The Skoltech1Million Entrepreneurial Challenge

MIT PI: Douglas Hart, Department of Mechanical Engineering
SkT PI: Zeljko Tekic, Center for Entrepreneurship and Innovation
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