\documentclass{article} \usepackage[utf8]{inputenc} \usepackage{fullpage} \begin{document} \begin{itemize} \section*{Papers} \subsection*{International Journals} \item[1] ``Roadmap on Machine Learning in Electronic Structure'', H. Kulik, T. Hammerschmidt, J. Schmidt, S. Botti, M.\,A.\,L. Marques, M. Boley, M. Scheffler, M. Todorović, P. Rinke, C. Oses, A. Smolyanyuk, S. Curtarolo, A. Tkatchenko, A. Bartok, S. Manzhos, M. Ihara, T. Carrington, J. Behler, O. Isayev, M. Veit, A. Grisafi, J. Nigam, M. Ceriotti, K.\,T. Schütt, J. Westermayr, M. Gastegger, R. Maurer, B. Kalita, K. Burke, R. Nagai, R. Akashi, O. Sugino, J. Hermann, F. Noé, S. Pilati, C. Draxl, M. Kuban, S. Rigamonti, M. Scheidgen, M. Esters, D. Hicks, C. Toher, P. Balachandran, I. Tamblyn, S. Whitelam, C. Bellinger, and L.\,M. Ghiringhelli, accepted for publication in Electron. Struct. (2022). \item[2] ``A new dataset of 175k stable and metastable materials calculated with the PBEsol and SCAN functionals'', J. Schmidt, H.-C. Wang, T.\,F.\,T. Cerqueira, S. Botti, and M.\,A.\,L. Marques, Sci. Data \textbf{9}, 64 (2022). \item[3] ``Machine-learning correction to density-functional crystal structure optimization'', R. Hussein, J. Schmidt, T. Barros, M.\,A.\,L. Marques, and Silvana Botti, accepted for publication in MRS Bull. (2022). \item[4] ``A high-throughput study of oxynitride, oxyfluoride and nitrofluoride perovskites'', H.-C. Wang, J. Schmidt, S. Botti, and M.\,A.\,L. Marques, J. Mater. Chem. A \textbf{9}, 8501-8513 (2021). \item[5] ``Machine learning the derivative discontinuity of density-functional theory'', J. Gedeon, J. Schmidt, M.\,J.\,P. Hodgson, J. Wetherell, C.\,L. Benavides-Riveros, and M.\,A.\,L. Marques, Mach. Learn.: Sci. Technol. \textbf{3}, 015011 (2021). \item[6] ``Crystal-graph attention networks for the prediction of stable materials'', J. Schmidt, L. Pettersson, C. Verdozzi, S. Botti, M.\,A.\,L. Marques, Sci. Adv. \textbf{7}, eabi7948 (2021). \item[7] ``Machine learning universal bosonic functionals'', J. Schmidt, M. Fadel, and C.\,L. Benavides-Riveros, Phys. Rev. Research \textbf{3}, L032063 (2021). \item[8] ``Exchange-correlation functionals for band gaps of solids: Benchmark, reparametrization and machine learning'', P. Borlido, J. Schmidt, A.\,W. Huran, F. Tran, M.\,A.\,L. Marques, and S. Botti, NPJ Comput. Mater. \textbf{6}, 96 (2020). \item[9] ``Reduced density matrix functional theory for superconductors'', J. Schmidt, C.\,L. Benavides-Riveros, and M.\,A.\,L. Marques, Phys. Rev. B \textbf{99}, 224502 (2019). \item[10] ``Machine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory'', J. Schmidt, C.\,L. Benavides-Riveros, and M.\,A.\,L. Marques, J. Phys. Chem. Lett. \textbf{10}, 6425-6431 (2019). \item[11] ``Representability problem of density functional theory for superconductors'', J. Schmidt, C.\,L. Benavides-Riveros, and M.\,A.\,L. Marques, Phys. Rev. B \textbf{99}, 024502 (2019). \item[12] ``Recent advances and applications of machine learning in solid-state materials science'', J. Schmidt, M.\,R.\,G. Marques, S. Botti, and M.\,A.\,L. Marques, NPJ Comput. Mater. (also appeared in PsiK newsletter, Scientific Highlight of the Month, March) \textbf{5}, 83 (2019). \item[13] ``Predicting the stability of ternary intermetallics with density functional theory and machine learning'', J. Schmidt, L. Chen, S. Botti, and M.\,A.\,L. Marques, J. Chem. Phys. \textbf{148}, 241728 (2018). \item[14] ``Predicting the thermodynamic stability of solids combining density functional theory and machine learning'', J. Schmidt, J. Shi, P. Borlido, L. Chen, S. Botti, and M.\,A.\,L. Marques, Chem. Mater. \textbf{29}, 5090-5103 (2017). \section*{Thesis} \item[16] ``Reduced Density Matrix Functional Theory for Superconductors'', J. Schmidt, Master thesis, Martin-Luther University of Halle-Wittenberg (2018). \item[17] ``Machine Learning Prediction of the Stability of Perovskites'', J. Schmidt, Bachelor Thesis, Martin-Luther University of Halle-Wittenberg (2016). \end{itemize} \end{document}