%0 Journal Article %1 rmiller12mar:2opt %A Miller, Ryan L. %A Harding, Lawrence B. %A Davis, Michael J. %A Gray, Stephen K. %D 2012 %J The Journal of Chemical Physics %K chemistry energy fit optimisation potential surface %N 7 %P 074102 %R 10.1063/1.3684884 %T Bi-Fidelity Fitting and Optimization %V 136 %X A common feature in computations of chemical and physical properties is the investigation of phenomena at different levels of computational accuracy. Less accurate computations are used to provide a relatively quick understanding of the behavior of a system and allow a researcher to focus on regions of initial conditions and parameter space where interesting phenomena are likely to occur. These inexpensive calculations are often discarded when more accurate calculations are performed. This paper demonstrates how computations at different levels of accuracy can be simultaneously incorporated to study chemical and physical phenomena with less overall computational effort than the most expensive level of computation. A smaller set of computationally expensive calculations is needed because the set of expensive calculations is correlated with the larger set of less expensive calculations. We present two applications. First, we demonstrate how potential energy surfaces can be fit by simultaneously using results from two different levels of accuracy in electronic structure calculations. In the second application, we study the optical response of metallic nanostructures. The optical response is generated with calculations at two different grid resolutions, and we demonstrate how using these two levels of computation in a correlated fashion can more efficiently optimize the response.

@article{rmiller12mar:2opt, abstract = {A common feature in computations of chemical and physical properties is the investigation of phenomena at different levels of computational accuracy. Less accurate computations are used to provide a relatively quick understanding of the behavior of a system and allow a researcher to focus on regions of initial conditions and parameter space where interesting phenomena are likely to occur. These inexpensive calculations are often discarded when more accurate calculations are performed. This paper demonstrates how computations at different levels of accuracy can be simultaneously incorporated to study chemical and physical phenomena with less overall computational effort than the most expensive level of computation. A smaller set of computationally expensive calculations is needed because the set of expensive calculations is correlated with the larger set of less expensive calculations. We present two applications. First, we demonstrate how potential energy surfaces can be fit by simultaneously using results from two different levels of accuracy in electronic structure calculations. In the second application, we study the optical response of metallic nanostructures. The optical response is generated with calculations at two different grid resolutions, and we demonstrate how using these two levels of computation in a correlated fashion can more efficiently optimize the response.}, added-at = {2012-03-11T22:51:37.000+0100}, author = {Miller, Ryan L. and Harding, Lawrence B. and Davis, Michael J. and Gray, Stephen K.}, biburl = {https://www.bibsonomy.org/bibtex/2a901f20a23832538a7a103dcd06c27a4/drmatusek}, doi = {10.1063/1.3684884}, interhash = {63a80cbbe650727113162ef6e5f49b2f}, intrahash = {a901f20a23832538a7a103dcd06c27a4}, journal = {The Journal of Chemical Physics}, keywords = {chemistry energy fit optimisation potential surface}, month = {February}, number = 7, pages = 074102, timestamp = {2012-08-07T17:52:48.000+0200}, title = {Bi-Fidelity Fitting and Optimization }, volume = 136, year = 2012 }