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been applied to cells, tissues, and biomaterials. Our interest in further development is two-fold: (1) Numerical processing and analysis methods for extraction of actionable information from the rich
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well-structured form to the final industrial users. Recent advances in AI (Artificial Intelligence), specifically in NLP (Natural Language Processing) and ML (Machine Learning), are promising for
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al., 2020. On-the-fly closed-loop materials discovery via Bayesian active learning. Nature communications, 11(1), p.5966. Keywords Materials Genome Initiative; Autonomous; Machine learning
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, Park H, Lukin MD: Nanometre-scale thermometry in a living cell . Nature 500: 54, 2013. Keywords Scanning microscopy; Magnetic sensors; SQUID magnetometers; Scanning SQUID microscope; Thermal imaging
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interfaces, or between molecules, into measurable signals that provide information on the nature and concentration of chemical and biomolecular species present in a particular (gas or liquid) environment
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measurements of the amount of each phase in the material, as well as how the phase fractions evolve during processing and deformation. Similarly, the grain orientations in most engineering materials have
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Roxworthy BJ, Aksyuk VA: Nanomechanical motion transduction with a scalable localized gap plasmon architecture. Nature Communications 7: 13746, 2016. https://dx.doi.org/10.1038/ncomms13746 Brian J. Roxworthy
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phone Edward Ryan Sisco [email protected] 301 975 2093 Description This opportunity focuses on the development of analytical methods and/or data processing techniques that could be used to
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. Madzik, S. V. Amitonov, S. L. de Snoo, M. Russ, N. Kalhor, C. Volk, W. I. Lawrie, D. Brousse, L. Tryputen, and B. P. Wuetz, Universal control of a six-qubit quantum processor in silicon. Nature 609, 919
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research will involve the development of beam-forming elements (including lithographic antennas or silicon micromachined corrugated feedhorns), superconducting elements for coherent processing of the