Success Stories

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Since its inception in 2015, the world-class computation capabilities and expertise at the national laboratories have addressed problems in steel and aluminum manufacture, jet turbine design and manufacture, advanced materials for light weighting and high temperature, high corrosion applications, chemical processing and many more topic areas.

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Participating Labs

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Projects Awarded

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$55.9 million

Funds Invested

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916 million

Computer Core Hours

Success Stories | Raytheon and ORNL

Refractory Materials for Critical Applications

Commonwealth Center of Advanced Manufacturing (CCAM) and Oak Ridge National Laboratory collaborated with the aim of utilizing integrated additive manufacturing simulation to develop and confirm the process relationships for advanced process control of refractory metal of C103.

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Success Stories | Raytheon and ORNL

Microwave-assisted Ceramic Processing

Raytheon partnered with Oak Ridge National Laboratory to explore innovative approaches, notably microwave heating, to improve chemical vapor infiltration.

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Success Stories | GE and ORNL

Data-driven Kinetics Modeling of Chemical Vapor Infiltration

General Electric and Oak Ridge National Laboratory used a neural network to create a surrogate model that can efficiently represent computationally intensive CFD calculations obtained from high performance computing, allowing the exploration of vast parameter space of the chemical vapor infiltration process and understanding of chemical kinetics.

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Success Stories | Flash Steelworks, Inc. and ORNL

Microscopic Concentration Gradients

Flash Steelworks, Inc. collaborated with Oak Ridge National Laboratory to utilize phase field simulations to gain fundamental understanding of local composition gradients during flash annealing.

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Success Stories | Element 16 and NREL

Molten-Sulfur Storage

National Renewable Energy Laboratory and Element 16 Technologies, Inc. partnered through HPC4Mfg to model sulfur as an ideal storage medium and built a tool for the rapid design of industrial systems.

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Success Stories | Material Sciences LLC and LLNL Slide

Heat Exchangers

Lawrence Livermore National Laboratory and Materials Sciences, LLC partnered through HPC4Mfg to deploy topology optimization, additive manufacturing, machine learning, and utlra-high-powered computers to optimize exchanger physics and slash compressor energy consumption by 30%.

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Success Stories | ANL and RTRC Gas Turbines Slide Image

Gas Turbines and HPC

Argonne National Laboratory and Raytheon Technologies Research Center partnered through HPC4Mfg to develop data-driven approaches for optimizing gas turbine film-cooling designs while reducing turbine cooling air—thereby improving engine efficiency without sacrificing component durability.

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Next Generation Additive Manufacturing

Livermore Lab is working with Seurat Technologies to model a faster laser powder bed manufacturing process and bring it to market.

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Improved Aluminum Ingot Casting

Livermore Lab is working with Arconic to model Aluminum ingot casting and reduce cracking that leads to product rejection.

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Next-Generation LEDs

Livermore Lab is working with light-emitting-diode (LED) manufacturer SORAA to create a new computer model of the company’s research-scale process for growing gallium nitride (GaN) crystals.

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Energy Efficiency in Paper Processing

Agenda 2020 partnered with Livermore and Berkeley labs to optimize one of the most energy-intensive steps in the papermaking process—drying the wet paper pulp.

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Your Success Story Awaits

HPC4EI brings together the diverse set of computational skills and supercomputing capabilities of DOE National Laboratories to increase US industry’s energy efficiency and advance competitiveness. Learn about the next opportunity to partner with the superb talent and high performance computing platforms at DOE National Laboratories.


Have questions?
Please email hpc4ei [at] (subject: HPC4EI%20Assistance%20%28Success%20Story%29) (hpc4ei[at]llnl[dot]gov) for further assistance.

Reducing Glass Fiber Breakage

PPG Industries is working with Livermore Lab to use supercomputers to modify the process of converting molten glass to solid fiber to reduce breakage and increase yields.

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Optimizing Lightweight Materials

Livermore Lab is working with the LIFT consortium to develop methods for predicting the behavior of new lightweight materials for automobiles and aircraft.

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Glass Furnace Model Enhancement

Livermore Lab is working with Vitro Glass Company to provide fast, accurate, and real-time process control in plate glass manufacturing.

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Improve Water Evaporation Processes

Livermore Lab is working with Zoom Essence to help improve the design of spray dryers to increase energy efficiency.

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