Theoretical Chemistry & Computational Design of Energy Materials
Our group conducts research in four major areas: Global Optimization, Crystal Structure Prediction, Energy & Environmental Sciences, and Theoretical Chemistry. In global optimization, we develop heuristic methods like genetic algorithm and apply them to interesting chemical or physical problems. The crystal structure prediction is one of these problems and for this purpose we developed a new method named as CrystAl Structure Prediction via Simulated Annealing (CASPESA). This method has already been applied to reveal the structures of many Energy Materials like metal borohydrides and metal ammines. In addition, we also employ periodic DFT computations to design new materials. The materials we interested are hydrogen storage, CO2 capture and heterogeneous catalysis. In Theoretical chemistry area, the computation of intermolecular interaction using high-accurate techniques is one of the most active research subjects of ours. By the help of these computations, we also develop force fields especially for biologically related systems like DNA. Furthermore, we extensively apply computational modelling and molecular dynamics simulation techniques to solve some chemical or physical problems such as drug delivery.
Research Topics
Global Optimization (Meta-Heuristics, GA, SA)
Crystal Structure Prediction (CASPESA)
Computational Materials Design
Hydrogen Storage & CO2 Capture
Heterogeneous Catalysis
Force Field Development
Intermolecular Interactions
Computational Modelling & MD Simulations
Laboratory & Software Resources:
Our fundamental computing resources are the computing cluster named MARS located in the Informatics Institute and several other rack servers provided by TUBITAK projects. The following software can be run on these systems: Turbomole, Molpro, Gaussian, Quantum Espresso, Dacapo, GPAW, Materials Studio, LAMPPS.