Probing quasi-one-dimensional band structures by plasmon spectroscopy
T. Lichtenstein, Z. Mamiyev, C. Braun, S. Sanna, W.G. Schmidt, C. Tegenkamp, H. Pfnür, Physical Review B 97 (2018).

Formability enhancement of EN AW-5182  aluminum alloy sheet metal parts in a flash forming process: testing, calibration and evaluation of fracture models
A.A. Camberg, F. Bohner, J. Tölle, A. Schneidt, S. Meiners, T. Tröster, IOP Conference Series: Materials Science and Engineering (2018).

Goal-oriented adaptivity for linear elastic micromorphic continua based on primal and adjoint consistency analysis
X. Ju, R. Mahnken, International Journal for Numerical Methods in Engineering (2018) 472–473.

"Stochastic hyperelastic modeling considering dependency of material parameters"
I. Caylak, A. Dridger, R. Mahnken, Computational Mechanics 62 (2018) 1273–1285.

Beyond the molecular movie: Dynamics of bands and bonds during a photoinduced phase transition
C.W. Nicholson, A. Lücke, W.G. Schmidt, M. Puppin, L. Rettig, R. Ernstorfer, M. Wolf, Science (2018) 821–825.

Unraveling the Oxidation and Spin State of Mn–Corrole through X-ray Spectroscopy and Quantum Chemical Analysis
M. Paszkiewicz, T. Biktagirov, H. Aldahhak, F. Allegretti, E. Rauls, W. Schöfberger, W.G. Schmidt, J.V. Barth, U. Gerstmann, F. Klappenberger, The Journal of Physical Chemistry Letters (2018) 6412–6420.

Identifying On-Surface Site-Selective Chemical Conversions by Theory-Aided NEXAFS Spectroscopy: The Case of Free-Base Corroles on Ag(111)
H. Aldahhak, M. Paszkiewicz, E. Rauls, F. Allegretti, S. Tebi, A.C. Papageorgiou, Y.-Q. Zhang, L. Zhang, T. Lin, T. Paintner, R. Koch, W.G. Schmidt, J.V. Barth, W. Schöfberger, S. Müllegger, F. Klappenberger, U. Gerstmann, Chemistry - A European Journal (2018) 6787–6797.

eGoal-oriented adaptivity on mean-field and full-field homogenization methods with a view to hierarchical unit cellsc
X. Ju, R. Mahnken, in: 31st International Workshop on Research in Mechnanics of Composite, 2018.

eOn the connection between possibility theory and probability box theory in structural mechanicsc
A. Dridger, I. Caylak, R. Mahnken, E. Penner, in: 13th World Congress in Computational Mechanics , 2018.

eMean-field homogenization of multi-layered thermo-chemo-elastic composites including damagec
P. Lenz, R. M, in: 31st International Workshop on Research in Mechnanics of Composite, 2018.

"Possibilistic and stochastic analysis using for rubber-like materials"
E. Penner, I. Caylak, A. Dridger, R. Mahnken, PAMM (2018).

"A fuzzy-stochastic model for transversely fiber reinforced plastics"
I. Caylak, E. Penner, A. Dridger, R. Mahnken, PAMM (2018).

Measures of Edge-Uncolorability of Cubic Graphs
M.A. Fiol, G. Mazzuoccolo, E. Steffen, The Electronic Journal of Combinatorics 25 (2018).

Flows in Signed Graphs with Two Negative Edges 
E. Rollová, M. Schubert, E. Steffen, The Electronic Journal of Combinatorics 25 (2018).

Cores, joins  and the Fano-flow conjectures
L. Jin, G. Mazzuoccolo, E. Steffen, Discussiones Mathematicae Graph Theory 38 (2018) 165–175.

Approximating Vizing’s independence number conjecture
E. Steffen, Australasian Journal of Combinatorics 71 (2018) 153–160.

Learning to Rank Based on Analogical Reasoning
M. Ahmadi Fahandar, E. Hüllermeier, in: Proc. 32 Nd AAAI Conference on Artificial Intelligence (AAAI), 2018, pp. 2951–2958.

Ranking Distributions based on Noisy Sorting
A. El Mesaoudi-Paul, E. Hüllermeier, R. Busa-Fekete, in: Proc. 35th Int. Conference on Machine Learning (ICML), Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn, 2018, pp. 3469–3477.

A Reinforcement Learning Strategy for the Swing-Up of the Double Pendulum on a Cart
M. Hesse, J. Timmermann, E. Hüllermeier, A. Trächtler, in: Proc. 4th Int. Conference on System-Integrated Intelligence: Intelligent, Flexible and Connected Systems in Products and Production, Procedia Manufacturing 24, 2018, pp. 15–20.

Learning interpretable rules for multi-label classification
E.L. Mencia, J. Fürnkranz, E. Hüllermeier, M. Rapp, in: H. Jair Escalante, S. Escalera, I. Guyon, X. Baro, Y. Güclüütürk, U. Güclü, M.A.J. van Gerven (Eds.), Explainable and Interpretable Models in Computer Vision and Machine Learning, Springer, 2018, pp. 81–113.