Computational Sciences/Simulation

Our research explores a number of different scientific simulation fields, most of which have particular significance to LLNL programs (e.g., high-energy-density physics). Other scientific simulation work showcases the Lab’s high performance computing capabilities in collaborative efforts with scientists at other institutions. View content related to Computational Sciences/Simulation.

VIdeo: How Are We Fighting Cancer with 3D Bioprinting?

LLNL pairs 3D-printed human brain vasculature with computational flow simulations to understand tumor cell attachment to blood vessels, a step in secondary tumor formation during cancer metastasis.

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Research Team Pairs 3D Bioprinting and Computer Modeling to Examine Cancer Spread in Blood Vessels

LLNL and Duke University combined 3D bioprinting and computational flow models to analyze the physics behind circulating tumor cell behavior and the cells’ attachment to the vascular endothelium.

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Manufacturing, Energy Initiative to Fund 11 New Projects

In the HPC4EI project, LLNL and OxEon Energy will reduce the number of reactor tubes used to convert natural gas to liquid fuel, to lower cost and increase performance of synthetic fuel production.

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AI Identifies Change in Microstructure in Aging Materials

LLNL scientists have taken a step forward in the design of future materials with improved performance by analyzing its microstructure using artificial intelligence.

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Lab Devises Plan to Reduce Defects in 3D Metal Printing

Combining computer simulations with ultra-high-speed X-ray imaging, LLNL researchers have discovered a way to reduce defects in parts built through a laser-based metal 3D-printing process.

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Video: Incorporation of Machine Learning into Scientific Simulations at LLNL

In this video from the Stanford HPC Conference, Katie Lewis presents "The Incorporation of Machine Learning into Scientific Simulations at Lawrence Livermore National Laboratory."

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LLNL’s New ML Platform Generates Novel COVID-19 Antibody Sequences for Experimental Testing

LLNL researchers have identified an initial set of therapeutic antibody sequences, designed in a few weeks using machine learning and supercomputing, aimed at binding and neutralizing SARS-CoV-2.

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Upgrades for LLNL Supercomputer from AMD, Penguin Computing Aid COVID-19 Research

AMD will supply upgraded GPUs for the Corona supercomputing cluster, which will be used by scientists working on discovering potential antibodies and antiviral compounds for SARS-CoV-2.

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New Partnership to Unleash U.S. Supercomputing Resources in the Fight against COVID-19

The White House announced the COVID-19 HPC Consortium to provide access to the world’s most powerful HPC resources that can advance the pace of scientific discovery in the fight to stop the virus.

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HPC4Energy Innovation Program Issues Special Solicitation for American Manufacturers

This solicitation invites members of Manufacturing USA, a network of 14 U.S. manufacturing institutes, to propose projects that could benefit from HPC modeling, simulation, and data analysis.

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