Publications

Keller, Lukas M.; Seiphoori, Ali; Marschall, Paul; Giger, Silvio,

2026.

Swelling-induced fracture closure in Opalinus Clay : an inert particle tracking approach.

Applied Clay Science.

284(108134).

Available from: https://doi.org/10.1016/j.clay.2026.108134

Ali, Waqar; Stämpfli, Shana; Stadelmann, Thilo; Aschkenasy, Schlomo; Abdulkadir, Ahmed,

2026.

Automated, vendor-agnostic measurement of myocardial tissue velocities in echocardiography[paper].

In:

23rd IEEE International Symposium on Biomedical Imaging (ISBI), London, United Kingdom, 8-11 April 2026.

IEEE.

Available from: https://doi.org/10.21256/zhaw-35211

Ali, Waqar; Vascon, Sebastiano; Stadelmann, Thilo; Pelillo, Marcello,

2026.

Multi-view graph pooling via dominant sets for graph classification.

Pattern Recognition.

172, Part D(112786).

Available from: https://doi.org/10.1016/j.patcog.2025.112786

Gandharapu, Meher Saketh; Katepalli, Anudeep; Harfmann, Anton; Bonmarin, Mathias; Krupczak, John; Shi, Donglu,

2026.

Photothermal heating and solar harvesting through multiple transparent Fe3O4@Cu2-xS thin films with a solar dome.

Energy and Buildings.

356(117083).

Available from: https://doi.org/10.1016/j.enbuild.2026.117083

Baumann, Mirjam; Schubert, Iljana; Tomic, Uros; Del Duce, Andrea,

2026.

Understanding angles of change to reduce car dependency in rural areas : evidence from Switzerland.

Transportation Research Part F: Traffic Psychology and Behaviour.

117(103479).

Available from: https://doi.org/10.1016/j.trf.2025.103479

Sachsenweger, Tristan; Torre Cachafeiro, Miguel A.; Tress, Wolfgang,

2026.

ChargeFabrica : a python-based finite difference multidimensional electro-ionic drift diffusion simulator applied to mesoporous perovskite solar cells.

Materials Futures.

5(2), pp. 025602.

Available from: https://doi.org/10.1088/2752-5724/ae27e9

Torre Cachafeiro, Miguel; Worsley, Carys A.; Ji, Fuxiang; Watson, Trystan M.; Tress, Wolfgang,

2026.

Inverted J-V hysteresis in perovskite solar cells : insights from photovoltaic quantum efficiency.

ACS Energy Letters.

Available from: https://doi.org/10.1021/acsenergylett.5c04035

Ali, Waqar; Vascon, Sebastiano; Stadelmann, Thilo; Pelillo, Marcello,

2026.

Topology-aware node dropping augmentation for graph classification[paper].

In:

6th International Conference on Neural Networks, Information and Communication Engineering (NNICE), Hefei, China, 23-25 January 2026.

IEEE.

Available from: https://doi.org/10.21256/zhaw-35188

Thiesbrummel, Jarla; Milić, Jovana V.; Deibel, Carsten; Garnett, Erik C.; Tao, Shuxia; Kirchartz, Thomas; Guerrero, Antonio; Cameron, Petra; Tress, Wolfgang; Saiful Islam, M.; Ehrler, Bruno,

2026.

Ion migration in perovskite solar cells.

Nature Reviews Chemistry.

Available from: https://doi.org/10.1038/s41570-025-00790-8

Barco, Daniel; Stadelmann, Marc; Oswald, Martin; Herzig, Ivo; Lichtensteiger, Lukas; Paysan, Pascal; Peterlik, Igor; Walczak, Michal; Menze, Bjoern; Schilling, Frank-Peter,

2026.

MInDI-3D : iterative deep learning in 3D for sparse-view cone beam computed tomography.

IEEE Access.

14, pp. 6438-6449.

Available from: https://doi.org/10.1109/access.2026.3652627

Jing, Peiyuan; Tang, Yue; Cheng, Chun-Wun; Zhang, Zhenxuan; Yang, Liutao; Lima, Thiago V.; Strobel, Klaus; Leimgruber, Antoine; Aviles-Rivero, Angelica; Yang, Guang; Montoya-Zegarra, Javier A.,

2026.

3D wavelet-based structural priors for controlled diffusion in whole-body low-dose PET denoising.

arXiv.

Available from: https://doi.org/10.48550/arxiv.2601.07093

Candon, Michael J.; Tohmuang, Sitthichart; Delgado-Gutiérrez, Arturo J.; Marzocca, Pier; Antonini, Daniele; Coppotelli, Giuliano; Righi, Marcello,

2026.

High-fidelity aeroelastic predictions of a very flexible wing[paper].

In:

AIAA SCITECH 2026 Forum.

AIAA SCITECH 2026 Forum, Orlando, USA, 12-16 January 2026.

American Institute of Aeronautics and Astronautics.

Available from: https://doi.org/10.2514/6.2026-1056

Di Maria, Monica; Planeta, Diego; Venturini, Francesca; Torregrossa, Federica; Crupi, Pasquale,

2026.

How can we sustainably assess the shelf life of EVOO? A systematic review on analytical strategies and food waste reduction.

Frontiers in Nutrition.

12(1722145).

Available from: https://doi.org/10.3389/fnut.2025.1722145

Denzel, Philipp; Weiss, Manuel; Gavagnin, Elena; Schilling, Frank-Peter,

2026.

Optimization of deep learning models for radio galaxy classification.

arXiv.

Available from: https://doi.org/10.48550/arXiv.2601.04773

Fischer, Sophie,

2026.

Calculation of GNSS differential code biases via ionospheric delay interpolation.

Winterthur:

ZHAW Zurich University of Applied Sciences.

Available from: https://doi.org/10.21256/zhaw-35077

Fischer, Sophie,

2026.

Swiss ionospheric gradient threat model revisited during solar maximum 2025.

Winterthur:

ZHAW Zurich University of Applied Sciences.

Available from: https://doi.org/10.21256/zhaw-35078

Blätte, Dominic; Günther, Marcella; Ponseca Jr., Carlito S.; Weis, Andreas; Hooijer, Rik; Quincke, Lucie; T. Cachafeiro, Miguel A.; Tress, Wolfgang; Perea, Jose D.; Leon, Salvador; Shuaib, Ali; Chabera, Pavel; Pullerits, Tönu; Bein, Thomas; Ameri, Tayebeh,

2026.

Elucidating the origin of open‐circuit voltage in ternary organic solar cells with a nonfullerene and a fullerene acceptor.

InfoMat.

Available from: https://doi.org/10.1002/inf2.70109

Nagorna, Viktoriia; Sencha-Hlevatska, Kateryna; Fehr, Daniel; Bonmarin, Mathias; Korobeynikov, Georgiy; Mytko, Artur; Lorenzetti, Silvio R.,

2026.

Advancing women’s performance in fitness and sports : an exploratory field study on hormonal monitoring and menstrual cycle-tailored training strategies.

Sports.

14(1), pp. 7.

Available from: https://doi.org/10.3390/sports14010007

Heinisch, Katja; van Norden, Simon; Wildi, Marc,

2026.

Smooth and persistent forecasts of German GDP : balancing accuracy and stability.

IWH Discussion Papers

; 1/2026.

Halle Institute for Economic Research.

Available from: https://doi.org/10.18717/dp99kr-7336

Doege, Patrick; Schocke, Kai-Oliver; Scherrer, Maike,

2026.

Systematic node fortification for enhanced supply network resilience : a real-world network approach.

Logistics Research.

Available from: https://doi.org/10.1108/LORE-04-2025-0050