M. P. Bahlke, N. Mogos, J. Proppe*, C. Herrmann, "Exchange Spin Coupling from Gaussian Process Regression", ChemRxiv 2020, DOI: 10.26434/chemrxiv.12589541.v3
P. Friederich, F. Häse, J. Proppe, A. Aspuru-Guzik, "Machine-learned potentials for next-generation matter simulations", Nat. Rev. Mater. 2020, accepted
C. Gallenkamp, U. I. Kramm, J. Proppe, V. Krewald, "Calibration of Computational Mössbauer Spectroscopy to Unravel Active Sites in FeNC-Catalysts for the Oxygen Reduction Reaction", Int. J. Quantum Chem. 2020, DOI: 10.1002/qua.26394
C. A. Choquette-Choo, D. Sheldon, J. Proppe, J. Alphonso-Gibbs, H. Gupta, "A Multi-Label, Dual-Output Deep Neural Network for Automated Bug Triaging", 18th International Conference on Machine Learning Applications (ICMLA) 2019, DOI: 10.1109/ICMLA.2019.00161; arXiv:1910.05835
T. Hayashi, M. Tinzl, T. Mori, U. Krengel, J. Proppe, J. Soetbeer, D. Klose, G. Jeschke, M. Reiher, D. Hilvert, "Capture and Characterization of a Reactive Haem–Carbenoid Complex in an Artificial Metalloenzyme", Nat. Catal. 2018, 1, 578
|9||G. N. Simm, J. Proppe, M. Reiher, "Error Assessment of Computational Models in Chemistry", Chimia 2017, 71, 202; arXiv:1702.00867|
|8||G. Angulo, R. D. Astumian, V. Beniwal, P. G. Bolhuis, C. Dellago, J. Ellis, B. Ensing, D. R. Glowacki, S. Hammes-Schiffer, J. Kästner, T. Lelièvre, N. Makri, D. Manolopoulos, G. Menzl, T. F. Miller, A. Mulholland, E. A. Oprzeska-Zingrebe, M. Parrinello, E. Pollak, J. Proppe, M. Reiher, J. Richardson, P. R. Chowdhury, E. Sanz, C. Schütte, D. Shalashilin, R. Szabla, S. Taraphder, A. Tiwari, E. Vanden-Eijnden, A. Vijaykumar, K. Zinovjev, "New Methods: General Discussion", Faraday Discuss. 2016, 195, 521|
|7||J. Proppe, T. Husch, G. N. Simm, M. Reiher, "Uncertainty Quantification for Quantum Chemical Models of Complex Reaction Networks", Faraday Discuss. 2016, 195, 497|
|6||M. Bergeler, G. N. Simm, J. Proppe, M. Reiher, "Heuristics-Guided Exploration of Reaction Mechanisms", J. Chem. Theory Comput. 2015, 11, 5712; arXiv:1509.03120|
|5||J. Proppe*, "An Extended Flory Distribution for Kinetically Controlled Step-Growth Polymerizations Perturbed by Intramolecular Reactions", Macromol. Theory Simul. 2015, 24, 500|
|4||J. Proppe, C. Herrmann, "Communication through Molecular Bridges: Different Bridge Orbital Trends Result in Common Property Trends", J. Comput. Chem. 2015, 36, 201; front-cover image|
|3||A. C. Jahnke, J. Proppe, M. Spulber, C. G. Palivan, C. Herrmann, O. S. Wenger, "Charge Delocalization in an Organic Mixed Valent Bithiophene is Greater than in a Structurally Analogous Biselenophene", J. Phys. Chem. A 2014, 118, 11293|
|2||J. Proppe, G. A. Luinstra, "A Refined Flory Distribution for Step-Growth Polymerizations Comprising Cyclic Molecules", Macromol. Theory Simul. 2013, 22, DOI:10.1002/mats.201300117; retracted by G. A. Luinstra; cf. Ref. 21 in #5 of this list|
|1||C. Barreto, J. Proppe, S. Frederiksen, E. Hansen, R. W. Rychwalski, "Graphite Nanoplatelet/Pyromellitic Dianhydride Melt Modified PPC Composites: Preparation and Characterization", Polymer 2013, 54, 3574|
|Computational Systems Chemistry with Rigorous Uncertainty Quantification (2018), ETH Zürich, Switzerland — This work was awarded the IBM Research Forschungspreis 2020.|
|T. Weymuth, J. Proppe, M. Reiher, "BootD3. Uncertainty Measures for Semiclassical D3 Dispersion Corrections" (2018), http://www.reiher.ethz.ch/software/bootd3.html|
|J. Proppe, M. Reiher, "reBoot. A Program for Statistical Calibration of Property Models" (2017), http://www.reiher.ethz.ch/software/reboot.html|
|J. Proppe, M. Reiher, "MIS39. A Reference Data Set for Calibration of Mossbauer Isomer Shifts." (2017), J. Them. Theory Comput. 2017, 13, 3297 (Supporting Information)|
|J. Proppe, "Highlight on 'The Parameter Uncertainty Inflation Fallacy' by Pascal Pernot" (2017), Computational Chemistry Highlights|
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