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PROJECTS
simulation in the shape of a red cube
Legacy

Phase-Field Modeling

Based on a discretization and time-stepping algorithm, these equations include a local order parameter, a quaternion representation of local orientation, and species composition.

Computational Math | Computational Science | Materials Science
PROJECTS
closeup of molecular simulation
Legacy

First-Principles Molecular Dynamics

This scalable first-principles MD algorithm with O(N) complexity and controllable accuracy is capable of simulating systems that were previously impossible with such accuracy.

Computational Math | Computational Science | Materials Science
PROJECTS
glvis logo

GLVis

GLVis is a lightweight tool for accurate and flexible finite element visualization that provides interactive visualizations of general FE meshes and solutions.

Computational Math | Discrete Mathematics | Open-Source Software
PROJECTS

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NEWS
CASC and SIAMCSE logos side by side

SIAM CSE21 event calendar

February 25, 2021

Lawrence Livermore researchers will be well represented at the virtual SIAM Conference on Computational Science and Engineering (CSE21) on March 1–5.

Algorithms at Scale | Computational Math | Computational Science | Data Science | Deep Learning
NEWS
abstract graphic of a brain and network overlaid with the CASC logo

CASC research in ML robustness debuts at AAAI conference

February 10, 2021

CASC has steadily grown its reputation in the artificial intelligence (AI)/machine learning (ML) community—a trend continued by three papers accepted at the 35th AAAI Conference on Artificial Intelligence, held virtually on February 2–9, 2021.

AI/ML | Computational Math | Data Science | Deep Learning | ML Theory
NEWS
illustration showing the LbC method of simulator inputs into a prediction estimator

Lab researchers explore ‘learn-by-calibration’ approach to deep learning

February 10, 2021

An LLNL team has developed a “Learn-by-Calibrating” method for creating powerful scientific emulators that could be used as proxies for far more computationally intensive simulators.

Computational Math | Data Science | Deep Learning | ML Theory | Scientific ML
NEWS

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