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Tyler Martin (Fed)

Materials Research Engineer and SANS Beamline Scientist

Dr. Tyler Martin is a staff member in the Materials Science and Engineering Division at NIST and a neutron beamline scientist for the nSoft consortium at the NIST Center for Neutron Research. Working closely with nSoft stakeholders, he leverages machine learning, molecular simulation, and liquid state theories to enhance neutron and x-ray scattering measurements of soft materials. Tyler leads the Autonomous Formulation Lab program, which combines machine learning with automated measurement with the goal of accelerating formulation discovery and optimization. 

Links

Publications

Event Report for "MLXN25: Machine Learning for X-ray and Neutron Scattering"

Author(s)
Peter Beaucage, Tanny Andrea Chavez Esparza, Alexander Hexemer, Tyler Martin, Peter Müller-Buschbaum, Stephan Roth, Xiaoping Wang
The MLXN25 virtual event was held on April 15, 2025, as a continuous 24-hour global event, uniting over 300 registered participants from 18 countries and 20

Data and Software Publications

CyRSoXS: A GPU-accelerated virtual instrument for Polarized Resonant Soft X-ray Scattering (P-RSoXS)

Author(s)
Kumar Saurabh, Peter J. Dudenas, Eliot Gann, Veronica Reynolds, Subhrangsu Mukherjee, Daniel Sunday, Tyler Martin, Peter Beaucage, Michael Chabinyc, Dean M. DeLongchamp, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
Polarized Resonant Soft X-ray scattering (P-RSoXS) has emerged as a powerful synchrotron-based tool to measure structure in complex, chemically heterogeneous systems. P-RSoXS combines principles of X

Correlating Near-Infrared Spectra to Bulk Properties in Polyolefins

Author(s)
Bradley P. Sutliff, Shailja Goyal, Tyler B. Martin, Peter A. Beaucage, Debra J. Audus, Sara V. Orski
This repository includes example code and data to correlate near-infrared spectroscopy (NIR) measurements with physical measurements for pure polyolefin samples. Specifically the provided Jupyter
Created November 9, 2019, Updated September 1, 2025
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