October 27-30, 2020

October 27-28, 2020, Plenary Sessions – Day 1 & 2: https://www.zoomgov.com/meeting/register/vJItdOiqqTwjE3rayivedRBsSPHfEe_nrZI

October 29-30, 2020, Day 3 & 4 (you will need to provide your area of expertise and your breakout selections): https://www.zoomgov.com/meeting/register/vJItfu-qqTMqEpdfRZjJuG6K-Scp0L7MU1A


The 2020 M4HSC Workshop will focus on TRL 3 – 6 materials to identify data gaps, R&D needs, technology challenges, and fabrication methodologies for practical commercial deployment into harsh service environments in energy producing or energy-intensive industries.

Workshop Objectives

  • Identify high-value, cross-cutting research opportunities of interest to AMO/FE/NE related to TRL 3 – 6 materials challenges.  Determine the research needed to overcome those challenges that prevent transition of the material into achieving improvements in energy efficiency, or extension of service life of process componentry employed under harsh service conditions.
  • Identify high-value, cross-cutting research opportunities of interest to AMO/FE/NE related to fabrication of operable parts/coatings from TRL 3 – 6 materials.  Identify advanced manufacturing research and methodology improvements needed that lead to reduced embodied energy in operable components and coatings, improves material performance, improves operational service life, and achieves reduction in energy needed to operate the process under harsh service conditions.
  • Identify material science data gaps and research needs that can lead to scalable, manufacturing techniques that give rise to components and/or coatings whose physical properties and cost/value outperform their conventionally produced counterparts.
  • Identify existing materials/advanced manufacturing R&D investments in the AMO/NE/FE portfolios and strategize how R&D investment opportunities can be pursued among the U.S. DOE and other Federal agencies.
  • Identify opportunities, data gaps, and technical limitations preventing development of rapid qualification methodologies that reduce material/component certification time and cost.
  • Identify data gaps and research needs that enable improvements in modeling/simulation methodologies for materials during fabrication and during operation under harsh service conditions at relevant spatial and temporal scales.
  • Identify data gaps and research needs in fabrication process monitoring, control, and feedback that allows more efficient machine learning that translates to reduction in fabrication time, intensification of fabrication processes, and overall improvements in fabrication process efficiency.
  • Encourage discussion and networking among leaders in the field.

Sponsored by the U.S. Department of Energy’s Advanced Manufacturing Office (AMO), Office of Nuclear Energy (NE) and Office of Fossil Energy (FE) with participation from Idaho National Laboratory (INL), Oak Ridge National Laboratory (ORNL), National Energy Technology Laboratory (NETL), and Ames Laboratory..

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