Environmental Molecular Sciences Laboratory

A DOE Office of Science User Facility

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Molecular Science Computing

Environmental molecular research is enhanced when combined with advance data analytics and visualization, computational modeling and simulation, and efficient parallel software. Users are encouraged to combine computation with EMSL's state-of-the-art experimental tools to make an integrated platform for scientific discovery. See a complete list of Molecular Science Computing instruments.

Resources and Techniques

*NEW* EMSL's new supercomputer, Tahoma, is planned to be available for research starting October 1. This system will support computational research requiring significant memory as well as processing speed to enable data mining, image processing, and multiscale modeling.

  • Tahoma provides 160 CPU nodes and 24 GPU nodes, with an estimated peak performance of 0.57 PetaFLOPs.
  • The 160 CPU nodes each have 36 3.1 GHz Intel Xeon processor cores, 384 GB of memory and 2 TB of flash storage.
  • The 24 GPU nodes each have 36 processor cores and 2 NVIDIA v100 GPGPUs, 1536 GB of memory and 7 TB of flash storage.
  • Tahoma’s 10 PB global file system is capable of 100 Gigabyte/sec bandwidth.

Additional flagship computing resources also offered include:

  • Cascade, a 1440-node supercomputer with theoretical peak performance of 3.4 petaflops; Cascade came online in December 2013.
  • Aurora, a 17 Petabyte HPSS data storage system
  • NWChem, a molecular modeling software. NWChem provides many methods to compute the properties of molecular and periodic systems by using standard quantum-mechanical descriptions of the electronic wave-function or density.
  • Data Analysis & Visualization, a web-based front end for visualizations of data generated in EMSL.

EMSL employs a forward-looking strategy to maintain leading-edge supercomputing capabilities and encourages users to combine computational and state-of-the-art experimental tools, providing a cross-disciplinary environment to further research.

Additional Information

Description

Molecular Science Computing – EMSL offers sophisticated and integrated computational capabilities, including scientific consultants, software, Cascade supercomputer and the Aurora data archive, to enable the following:

  • Quantum chemistry and molecular dynamics simulations of molecules, surface interfaces, nanoparticles and biological systems
  • Subsurface flow and reactive transport modeling
  • Simulations of aerosols and atmospheric particles
  • Agent-based modeling framework for simulation of biological systems
  • Data analysis and visualization tools to enable exploration of complex data sets from experimental platforms.

Instruments

No instruments are available at this time.

Publications

Microkinetic models, combined with experimentally measured reaction rates and orders, play a key role in elucidating detailed reaction mechanisms in...
The photophysics of Green Fluorescent Protein (GFP) chromophore is critically dependent on its local structure and on its environment. Despite...
Single-walled carbon nanotubes (SWCNTs) have emerged as one of the leading additives for high-capacity nanocomposite lithium ion battery electrodes...
Liquid phase dehydration of 1-octdecanol, which is intermediately formed during the hydrodeoxygenation of microalgae oil, has been explored in a...
The effects of surface acidity on the cascade ethanol-to-isobutene conversion were studied using ZnxZryOz catalysts. The ethanol-to-isobutene...

Science Highlights

Posted: August 02, 2019
Pacific Northwest National Laboratory web feature Ammonia, the primary ingredient in nitrogen-based fertilizers, has helped feed the world since...
Posted: July 25, 2019
The Science Inert gases like argon typically do not form chemical bonds except under extreme conditions, such as the icy cold of outer space. As...
Posted: January 23, 2019
From Pacific Northwest National Laboratory's Physical Sciences Division Dissolved aluminum formed during industrial processing has perplexed chemists...
Posted: January 04, 2019
From Pacific Northwest National Laboratory's Physical Sciences Division A team of researchers led by PNNL computational scientist Simone Raugei have...
Posted: August 13, 2018
The Science One promising approach to stabilize uranium contamination in soils is to envelop the radioactive uranium into iron-bearing minerals like...

Instruments

There are no related projects at this time.

Environmental molecular research is enhanced when combined with advance data analytics and visualization, computational modeling and simulation, and efficient parallel software. Users are encouraged to combine computation with EMSL's state-of-the-art experimental tools to make an integrated platform for scientific discovery. See a complete list of Molecular Science Computing instruments.

Resources and Techniques

*NEW* EMSL's new supercomputer, Tahoma, is planned to be available for research starting October 1. This system will support computational research requiring significant memory as well as processing speed to enable data mining, image processing, and multiscale modeling.

  • Tahoma provides 160 CPU nodes and 24 GPU nodes, with an estimated peak performance of 0.57 PetaFLOPs.
  • The 160 CPU nodes each have 36 3.1 GHz Intel Xeon processor cores, 384 GB of memory and 2 TB of flash storage.
  • The 24 GPU nodes each have 36 processor cores and 2 NVIDIA v100 GPGPUs, 1536 GB of memory and 7 TB of flash storage.
  • Tahoma’s 10 PB global file system is capable of 100 Gigabyte/sec bandwidth.

Additional flagship computing resources also offered include:

  • Cascade, a 1440-node supercomputer with theoretical peak performance of 3.4 petaflops; Cascade came online in December 2013.
  • Aurora, a 17 Petabyte HPSS data storage system
  • NWChem, a molecular modeling software. NWChem provides many methods to compute the properties of molecular and periodic systems by using standard quantum-mechanical descriptions of the electronic wave-function or density.
  • Data Analysis & Visualization, a web-based front end for visualizations of data generated in EMSL.

EMSL employs a forward-looking strategy to maintain leading-edge supercomputing capabilities and encourages users to combine computational and state-of-the-art experimental tools, providing a cross-disciplinary environment to further research.

Additional Information

Pages

Leads

Dr. McCue develops and implements computational strategy for data analysis, storage and retrieval as well as develops, acquires, and provides software and hardware to enable EMSL Sciences Areas. Responsible for infrastructure health, development,...