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Collaborative Research in Multidimensional NMR and Advanced Software Solutions

This project focuses on enhancing methodologies in multidimensional NMR through innovative software developments. Led by a collaborative team from various institutions including Ohio State, Delaware, and Harvard, the research aims to address challenges such as outlier detection and data analysis in NMR applications. Notable funding sources include multiple R01 grants, supporting the exploration of new techniques like NMRbox and GPU-accelerated workflows. The team's goal is to contribute significantly to the scientific community's understanding and application of NMR spectroscopy.

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Collaborative Research in Multidimensional NMR and Advanced Software Solutions

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  1. Collaborations Collaborating PI Institution Project title Personnel Funding Mark Foster Ohio State Relaxation software Hoch, Maciejewski, Schuyler R01-GM-077234 Angela GronenbornPittsburg HN shift outliers Hoch, Gryk R01-GM-080642 Tatyana PolenovaDelaware NUS and MaxEnt Hoch, Schuyler R01-GM-085306 for SSNMR David RovnyakBucknell Software reviews Hoch, Ulrich, Eghbalnia HomayounValafar South Carolina RDC software Hoch, MaciejewskiPending Gerhard Wagner Harvard NUS and IST for Hoch, Schuyler P01-GM-047467 multidimensional NMR NMRboxRCshift GPU MINT Discovery l1-norm

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