The English used in this article may not be easy for everybody to understand. (December 2011)
Computational chemistry is a branch of chemistry that uses computer science to help solve chemical problems. These programs calculate the structures and properties of molecules and solids. Computational chemistry normally complements the information obtained by chemical experiments. It can predict chemical phenomena that have not yet been observed. It is widely used in the design of new drugs and materials.
Computational chemistry can predict structure (that is, the expected positions of the molecule's atoms), absolute and relative (interaction) energies, electronic charge distributions, dipoles and higher multipole moments, vibrational frequencies, reactivity or other spectroscopic quantities, and cross sections for collision with other particles.
Computational chemistry looks at both static and dynamic systems. In all cases, as the size of the system being studied grows, the computer time and other resources (such as memory and disk space) used also grows. That system can be a single molecule, a group of molecules, or a solid. Computational chemistry methods range from highly accurate to very approximate. Highly accurate methods are typically feasible only for small systems.
Related pages[change | change source]
Other websites[change | change source]
- NIST Computational Chemistry Comparison and Benchmark DataBase - Contains a database of thousands of computational and experimental results for hundreds of systems
- American Chemical Society Division of Computers in Chemistry - American Chemical Society Computers in Chemistry Division, resources for grants, awards, contacts and meetings.
- CSTB report Mathematical Research in Materials Science: Opportunities and Perspectives - CSTB Report
- 3.320 Atomistic Computer Modeling of Materials (SMA 5107) Free MIT Course
- Technology Roadmap for Computational Chemistry
- Applications of molecular and materials modelling.
- Impact of Advances in Computing and Communications Technologies on Chemical Science and Technology CSTB Report
- MD and Computational Chemistry applications on GPUs