Molecular Science Computing

Environmental molecular research is accelerated when combined with leading-edge hardware, efficient parallel software, accurate and predictive theories and visualization capabilities. Users are encouraged to combine computation with EMSL's state-of-the-art experimental tools that make an integrated platform for scientific discovery.

The Molecular Science Computing (MSC) capability supports EMSL's flagship computing resources including:

  • Cascade, a supercomputer with theoretical peak performance of 3.4 petaflops, that came online in December 2013. See announcements about the current status of Cascade
  • NWChem, a molecular modeling software developed to take full advantage of the advanced computing systems installed. NWChem provides many methods to compute the properties of molecular and periodic systems by using standard quantum-mechanical descriptions of the electronic wavefunction or density.
  • GA Tools
  • Ecce, a domain encompassing problem-solving environment for molecular modeling, analysis, and simulations, and
  • Aurora, a 15.8 Petabyte HPSS data storage system

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.

Additonal Information

Description

Resources and Techniques

Molecular Science Computing – Sophisticated and integrated computational capabilities, including scientific consultants, software, Cascade supercomputer and a data archive, enable the following:
• Simulations that accurately mimic real molecules, solids, nanoparticles and biological systems
• Reactive chemical transport modeling for subsurface and atmospheric study
• State-of-the-art integration between theory and experiment
• Parallel and efficient computer architectures
• Computational models built on open-source framework.

Molecular Science Software Suite – Complex chemical systems at the atomic level are investigated using comprehensive, integrated tools coupled with advanced computational chemistry techniques and high-performance, massive parallel computing systems.

Graphics and Visualization Laboratory – Complex experimental and computational data sets are analyzed using high-performance graphics systems for illustration and image editing, data modeling and image analysis, scene rendering and model creation, and audio-video composition and editing.

 

Instruments

Aurora, EMSL's scientific data archive, is a dedicated computer system specifically designed for long-term storage of data collected by EMSL...
Custodian(s): Dave Cowley
The 3.4 petaflop system's 23,000 Intel processors have 184,000 gigabytes of memory available, about four times as much memory per processor as other...
Custodian(s): Dave Cowley

Publications

No publications are available at this time.

Science Highlights

Posted: September 02, 2014
The impacts of soil moisture on the carbon cycle are well known from previous research. However, interactions among soil moisture, groundwater and...
Posted: August 21, 2014
While trying to understand the chemistry that turns plant material into biofuel, researchers discovered water in the conversion process forms an...
Posted: August 14, 2014
Industry uses zeolites as an ion exchange material and solid acid to catalyze a broad range of chemical reactions. Zeolites are also promising...
Posted: June 19, 2014
The Science Predicting the types of clouds over the ocean is critical for climate projections. However, current climate models lack the spatial...
Posted: May 29, 2014
An accurate understanding of clouds over the ocean is important for climate change projections. Global climate models tend to average out the...

Environmental molecular research is accelerated when combined with leading-edge hardware, efficient parallel software, accurate and predictive theories and visualization capabilities. Users are encouraged to combine computation with EMSL's state-of-the-art experimental tools that make an integrated platform for scientific discovery.

The Molecular Science Computing (MSC) capability supports EMSL's flagship computing resources including:

  • Cascade, a supercomputer with theoretical peak performance of 3.4 petaflops, that came online in December 2013. See announcements about the current status of Cascade
  • NWChem, a molecular modeling software developed to take full advantage of the advanced computing systems installed. NWChem provides many methods to compute the properties of molecular and periodic systems by using standard quantum-mechanical descriptions of the electronic wavefunction or density.
  • GA Tools
  • Ecce, a domain encompassing problem-solving environment for molecular modeling, analysis, and simulations, and
  • Aurora, a 15.8 Petabyte HPSS data storage system

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.

Additonal Information

Pages