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catalytic turnover. Integrative modeling and machine learning have the promise of establishing new tools for combining computational and experimental data from HDX-MS and NMR to explain the dynamics and
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variables. Computer-controlled equipment is available for alternating-current magnetic-susceptibility measurements as a function of frequency, temperature, and magnetic field. An automated vibrating sample
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capabilities for characterizing nanoparticles at the single-particle level. There will also be opportunities for interested candidates to develop advanced data processing techniques. microscopy; light scattering
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words Coherent control; Quantum dots; Quantum information; Quantum optics; Eligibility citizenship Open to U.S. citizens level Open to Postdoctoral applicants Stipend Base Stipend Travel Allotment
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assemblies (SolidWorks experience is preferable), experience with developing VI’s in LabVIEW, and experience with data and image processing (MATLAB experience preferable). key words Additive manufacturing
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will be complemented by computer model simulations using available capabilities based on methods such as density functional theory (DFT). [3] [1] J. Ilavsky, F. Zhang, R.N. Andrews, I. Kuzmenko, P.R
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analysis at lower frequencies, we can obtain frequency-dependent impedance data over the extremely broad frequency range from several 100 Hz to 100 GHz. The electrical impedance of planar measurement
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of small volumes of liquid samples as a function of temperature, composition, and concentration. These measurements can yield information on the polarization dynamics of inorganic nanoparticles, organic
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valuable qualitative and quantitative information that can be used to develop and validate fundamental deformation models. We have also used submicrometer X-ray beams at the Advanced Photon Source
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system, offers higher sensitivity to surface displacement (noise floor of ~ 0.1 pm) than quasi-static PFM (~ 10 pm). However, conversion of the experimental results to quantitative displacement data is