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Q-SIMAN WIKI

This is the internal wiki for the SciDAC project "Quantum Simulations of Materials and Nanostructures (Q-SIMAN)" [public website: http://angstrom.ucdavis.edu/scidac/].

This project addresses a grand challenge in materials science and chemistry: predict and design molecular and materials properties with controllable accuracy from first principles, using the fundamental laws of quantum mechanics. In order to transform the quantum simulations techniques developed in the last several decades into predictive design and discovery tools, we will address key issues related to improving accuracy, robustness, efficiency, and software performance and scalability:

Accuracy: we focus on ab initio molecular dynamics (AIMD) and quantum Monte Carlo (QMC) methods and we plan to develop coupled AIMD/QMC approaches capable of describing materials in the presence of external perturbations.
Robustness: we plan to develop algorithms and codes for data analysis and validation.
Efficiency: we plan to work at reducing scaling and complexity of AIMD codes.
Software performance and scalability: we plan to develop specialized linear algebra algorithms and codes for both next-generation high performance platforms and commodity clusters.

This project will help to develop an ab initio foundry of codes, data and expertise, available to theorists, computational scientists and experimentalists alike. The methods and codes developed within this project are expected to have broad applicability, and large-scale quantum simulations will be carried out for specific systems. These includes composite inorganic/organic nanomaterials for sensing applications, nanostructures in the presence of external fields for the simulation of realistic devices, fluids and solids under extreme conditions, the properties of water in materials science and biological environments, and materials relevant to energy storage and transformation.

Working Groups: