The Materials Genome Initiative is a federal multi-agency initiative to accelerate the discovery, design, development, and deployment of new materials, at a fraction of the cost. Three primary goals for the next several years are to unify the materials innovation infrastructure, to harness the power of materials data; and to educate, train, and connect the materials research and devolvement workforce.
To implement a new emphasis on materials synthesis and discovery and on tightly closing the loop among synthesis, characterization, theory/modeling and targeted materials outcomes in mesoscale materials and phenomena, dynamic and far from equilibrium behavior and interfacial phenomena, we recommend that NSF create a network of Materials Innovation Platforms.
With support from the Department of Energy and the National Science Foundation, the NRC carried out a study to characterize and discuss ways to optimize investments in materials research facility infrastructure with attention to midsize facilities. This report provides an assessment of the nature and importance of mid-sized facilities, their capabilities, challenges they face, current investment, and optimizing their effectiveness.
This third decadal survey in materials research reviews the progress and achievements in materials research and changes in the materials research landscape over the last decade; research opportunities for investment for the period 2020-2030; impacts that materials research has had and is expected to have on emerging technologies, national needs, and science; and challenges the enterprise may face over the next decade.
This book describes the challenges and opportunities facing scientists who discover new crystalline materials and grow large crystals and charts a way for the United States to reinvigorate its efforts and thereby return to a position of leadership in this field.
Traditionally, the natural sciences have been divided into two branches: the biological sciences and the physical sciences. Today, an increasing number of scientists are addressing problems lying at the intersection of the two.
Scientists have long desired to create synthetic systems that function with the precision and efficiency of biological systems. Using new techniques, researchers are now uncovering principles that could allow the creation of synthetic materials that can perform tasks as precise as biological systems.
Emerging techniques in data analytics, including machine learning and artificial intelligence, offer exciting opportunities for advancing scientific discovery and innovation in materials science. How can the materials science community take advantage of these opportunities while avoiding potential pitfalls? What roadblocks may impede progress in the coming years, and how might they be addressed?
Division of Materials Research supports fundamental research on design, synthesis and characterization of novel materials and on discovery and understanding of new behavior of matter and materials.
The second MIP competition in 2019 focused on advancing convergence of materials research with biological sciences for developing new materials.
National Science Foundation
Division of Materials Research
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