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Networking Materials Data: Accelerating Discovery at Experimental Facilities. Authors ; Ian Foster, Rachana Ananthakrishnan, Ben Blaiszik, Kyle Chard, Ray Osborn ...
Advances in both sensor and computing technologies promise new approaches to discovery in materials science and engineering.
Advances in both sensor and computing technologies promise new approaches to discovery in materials science and engineering.
Bibliographic details on Networking Materials Data: Accelerating Discovery at Experimental Facilities.
Jul 18, 2024 · This paper proposes a new approach that takes complex goals and automatically converts them into intelligent data acquisition strategies.
Feb 13, 2024 · Synopsis of Program: The ACED program seeks to harness computing to accelerate scientific discovery, while driving new computing advancements.
Greg Bell: ESnet is a science network, dedicated to accelerating the process of discovery. ... data generated at experimental facilities around the world.
Aug 2, 2024 · We introduce an automated materials discovery approach encompassing machine learning (ML) assisted material screening, robotic synthesis, and high-throughput ...
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Jul 17, 2024 · The approach uses rapid computing methods to predict the properties of hundreds of materials, identifying short lists of the most promising ones.
Missing: Facilities. | Show results with:Facilities.
Aug 6, 2024 · By advancing materials characterization, data can be brought into the discovery process earlier, more rapidly and in larger quantities, to ...