Facilities
Facilities and Equipment
The main facilities of the department are located in Hurtig Hall. Substantial additional space and equipment are available in the Barnett Institute of Chemical Analysis and Materials Science in Mugar Life Sciences building and Egan Engineering/Science Research Center. Major research equipment includes:
- Nuclear magnetic resonance spectrometers (300, 400, 500, 700 MHz)
- Numerous mass spectrometers (GC-MS, HPLC-MS, MS/MS, MALDI-TOF, ESI-MS)
- Electron paramagnetic resonance spectrometers (9 GHz, 220 GHz quasioptical)
- Liquid and gas chromatographs, capillary electrophoresis, and atomic emission and absorption spectrometers
- X-ray diffractometers, electron microscopes, and thermal analyzers and calorimeters
- Electrochemical workstation with rotating disk and micro electrodes
- Ultraviolet, visible, infrared, and Raman spectrometers, including IR-micro imaging
- Ultrafast laser and photon counting systems, low-temperature optical dewar
- Moessbauer spectrometers and low-temperature facilities
- High resolution field emission scanning electron microscope
- Electroanalytical, polarographic, and coulometric
- Electrophoresis: CEC/PEC/TLC, SDS-PAGE, IEF, HPCE, immuno-CE, affinity-CE
- Polypeptide and polynucleotide synthesizers
Computational Chemistry Resources
Graduate students with an interest in computational chemistry and chemical biology have access to several state-of-the-art computer facilities including the Advanced Scientific Computation Center (ASCC) which has a parallel cluster of high-speed processors and a fully optimized mathematical library and MPI parallel library. Departmental equipment includes two 64-bit PC-compatible superworkstations, with 16 GB of RAM, running under Windows XP64, a computer cluster with 8 Linux based and 2 Windows based notes (total 20 CPU) with storage capacity over 1 TB, and a four-node Debian Linux cluster, plus workstations for visualization, Red Hat linux boxes, and several PCs. Numerous software programs are available for molecular modeling and visualization, data analysis, and prediction of molecular and materials properties.