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
The Molecular Science Computing (MSC) capability supports EMSL's flagship computing resources including:
- Cascade, a 1440-node supercomputer with theoretical peak performance of 3.4 petaflops; Cascade came online in December 2013.2013.
- Aurora, a 15.8 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.
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
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
The Molecular Science Computing (MSC) capability supports EMSL's flagship computing resources including:
- Cascade, a 1440-node supercomputer with theoretical peak performance of 3.4 petaflops; Cascade came online in December 2013.2013.
- Aurora, a 15.8 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.
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
Optimize your research with EMSL capabilities
Optimize your research with EMSL capabilities
Cream of the Crop: Top-Tier Publications from 2016
Photochemical Dynamics of Methylamine and Bromoacetyl Chloride: Model Systems for Method Testing and Development
Design of Cathode Materials for Li-ion Batteries with High Capacity
Does Forest-to-Pasture conversion decrease functional turnover across space? Measuring the effects of deforestation on the
The lower atmosphere's mixing messages
Compute Allocation in support of EMSL User Proposal 47483
In silico Chemical Library Engine (ISICLE) for Expo/Metabo-lomics and Modeling
Pages
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
Publications
Science Highlights
Instruments
Leads
Dr. McCue is the capability lead for EMSL’s molecular science computing scientific consulting. She collaborates with EMSL users to ensure integration between experimental and computational resources for improved scientific discovery.