Nathan J. Szymanski

An autonomous laboratory for the accelerated synthesis of inorganic materials

Nathan J. Szymanski, Bernardus Rendy, Yuxing Fei et al. · Nature · 2023 · 678 citations · Full text

Probabilistic Deep Learning Approach to Automate the Interpretation of Multi-phase Diffraction Spectra

Nathan J. Szymanski, Christopher J. Bartel, Yan Zeng et al. · Chemistry of Materials · 2021 · 91 citations · Full text

Electronic and optical properties of vanadium oxides from first principles

Nathan J. Szymanski, Z.T.Y. Liu, T. Alderson et al. · Computational Materials Science · 2018 · 70 citations

Materials Science, Transition Metal Chalcogenides, Optical Materials +9

Adaptively driven X-ray diffraction guided by machine learning for autonomous phase identification

Nathan J. Szymanski, Christopher J. Bartel, Yan Zeng et al. · npj Computational Materials · 2023 · 60 citations · Full text

First-principles study of mechanical and magnetic properties of transition metal (M) nitrides in the cubic M4N structure

V. Adhikari, Z.T.Y. Liu, Nathan J. Szymanski et al. · Journal of Physics and Chemistry of Solids · 2018 · 50 citations

Materials Science, Magnetism, Magnetic Properties +9