Publications of Christopher A. Sutton

Foppa, L., C.A. Sutton, L.M. Ghiringhelli, S. De, P. Löser, S.A. Schunk, A. Schäfer and M. Scheffler: Learning Design Rules for Selective Oxidation Catalysts from High-Throughput Experimentation and Artificial Intelligence. ACS Catalysis 12 (4), 2233–2232 (2022).

Bartel, C.J., J.M. Clary, C.A. Sutton, D. Vigil-Fowler, B.R. Goldsmith, A.M. Holder and C.B. Musgrave: Inorganic Halide Double Perovskites with Optoelectronic Properties Modulated by Sublattice Mixing. Journal of the American Chemical Society 142 (11), 5135–5145 (2020).

Sutton, C.A., M. Boley, L.M. Ghiringhelli, M. Rupp, J. Vreeken and M. Scheffler: Identifying domains of applicability of machine learning models for materials science. Nature Communications 11, 4428 (2020).

Wouters, C., C.A. Sutton, L.M. Ghiringhelli, T. Markut, R. Schewski, A. Hassa, H. Von Wenckstern, M. Grundmann, M. Scheffler and M. Albrecht: Investigating the ranges of (meta)stable phase formation in (In_xGa_1−x)₂O₃: Impact of the cation coordination. Physical Review Materials 4 (12), 125001 (2020).

Bartel, C.J., C.A. Sutton, B.R. Goldsmith, R. Ouyang, C.B. Musgrave, L.M. Ghiringhelli and M. Scheffler: New tolerance factor to predict the stability of perovskite oxides and halides. Science Advances 5 (2), eaav0693 (2019).

Sutton, C.A., L.M. Ghiringhelli, T. Yamamoto, Y. Lysogorskiy, L. Blumenthal, T. Hammerschmidt, J.R. Golebiowski, X. Liu, A. Ziletti and M. Scheffler: Crowd-sourcing materials-science challenges with the NOMAD 2018 Kaggle competition. npj Computational Materials 5, 111 (2019).

Goldsmith, B.R., J. Esterhuizen, J.X. Liu, C.J. Bartel and C.A. Sutton: Machine learning for heterogeneous catalyst design and discovery. AIChE-Journal 64 (7), 2311–2323 (2018).

Sutton, C.A., N.R. Tummala, D. Beljonne and Brédas Jean-Luc: Singlet Fission in Rubrene Derivatives: Impact of Molecular Packing. Chemistry of Materials 29 (7), 2777–2787 (2017).

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