High Performance Computing for Materials
HPC4Materials in Applied Energy Technologies
Machine Learning tools are accelerating in their sophistication and utility. Industry is utilizing and incorporating these tools to enhance product and process optimization, real time process control and material discovery.
This online colloquium is designed to introduce machine learning concepts; show examples of applications of machine learning tools; and discuss potential pitfalls in applying these tools. The HPC4Mfg and HPC4Mtls programs within the HPC4EnergyInnovation Program, are currently executing projects that combine machine learning tools with physics-based simulation tools and/or sensor-based data for both process and product enhancement.
First Joint Solicitation for HPC4Manufacturing and HPC4Materials Now Open!
The U.S. Department of Energy's (DOE) High Performance Computing for Energy Innovation (HPC4EI) Program has issued its first joint solicitation between the High Performance Computing for Manufacturing (HPC4Mfg) Program and the High Performance Computing for Materials (HPC4Mtls) Program. The joint solicitation is the seventh solicitation for the HPC4Mfg Program and the second solicitation for the HPC4Mtls Program, with support from the Office of Fossil Energy and the Office of Energy Efficiency and Renewable Energy’s Advanced Manufacturing Office, Vehicle Technologies Office, and Fuel Cell Technologies Office. The programs are designed to spur the use of national lab supercomputing resources and expertise to advance innovation in energy-efficient manufacturing and in new materials that will enable advanced energy technologies.
In this solicitation, we are seeking qualified industry partners to participate in short-term, collaborative projects with the DOE’s national laboratories. Selected industry partners will be granted access to high performance computing (HPC) facilities and experienced staff at DOE’s national laboratories. The collaborations will address key challenges in U.S. manufacturing and material development by applying modeling, simulation, and data analysis to relevant problems with the intent to improve energy efficiency, increase productivity, reduce cycle time, enable next-generation technologies, test control system algorithms, investigate intensified processes, lower energy cost, and accelerate innovation.
Awardees Named for the First Round of HPC4Materials Solicitation
The Department of Energy today announced the first round of awardees for the new HPC4Materials (HPC4Mtls) Program, a public-private effort aimed at using high-performance computing to advance U.S. industry’s discovery, design and development of materials for severe environments.
The nine projects, totaling $2.7 million in DOE funding, involve five national laboratories and eight private companies, including Ford Motor Company, Siemens Energy, Shell International Exploration and Pratt & Whitney. The new project partnerships include application of world-class computing resources and expertise from Lawrence Livermore National Laboratory, Oak Ridge National Laboratory, Los Alamos National Laboratory, Sandia National Laboratory, and the National Energy Technology Laboratory.
These projects will address key challenges in developing, modifying, and/or qualifying new or modified materials through the application of high performance computing, modeling, simulation, and data analysis.
Each of the nine newly selected projects will receive up to $300,000 to support work performed by the national lab partners and allow the partners to use HPC compute cycles. The nine projects selected for awards are led by Strategic Power Systems, Skyhaven Systems, LLC, United Technologies Research Center, Shell International Exploration and Production, Carpenter Technology Corporation, Pratt & Whitney, Siemens Energy, Inc., and Ford Motor Company.
About High Performance Computing for Materials
Accelerating industry discovery, design, and development of materials in energy technologies by enabling access to computational capabilities and expertise in the DOE laboratories.
Resources Available to Industry Partners
- Access to HPC systems at the National Laboratories—including five of the world’s ten fastest computers
- Access to subject matter experts at the National Laboratories to run existing codes and assist with:
- Material performance predictions at multiple phases/scales
- Data interpretation/management and real-time analytics
- Integration of multi-physics HPC codes to simulate material behavior
Expected Benefits of Using High Performance Computing
Enable a step change in the cost, development time, and performance of materials in applied energy technologies to save millions of dollars in fuel and maintenance across industrial sectors, for example:
- Longer-lasting components for higher temperature turbines (2,700°F) and nuclear cores and cladding
- Lower-cost, more reactive catalysts
- Coatings to improve thermal and environmental barriers
- Materials for supercritical CO2 power cycles, chemical looping combustion, and entirely new devices not formerly possible.
For additional information on the HPC4Mtls Program, email firstname.lastname@example.org.