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AIthena - D5.3 Report on final use case evaluation2026 Zenodo (CERN European Organization for Nuclear Research) article Materials Science Engineering and Material Science Research Open access
Bernhard Hillbrand, Alexandru Forrai, Konstantinos Gkentsidis, Ilma Okanovic, Georg Stettinger, Anton Wijbenga, +12 more
0citations -
Computing formation enthalpies through an explainable machine learning method: the case of lanthanide orthophosphates solid solutions2024 Frontiers in Applied Mathematics and Statistics article Materials Science Machine Learning in Materials Science Open access
Edoardo Di Napoli, Xinzhe Wu, Thomas Bornhake, Piotr M. Kowalski
1citations -
Investigation of Transformation Behaviour of Pseudoelastic NiTi Shape Memory Alloys Under Compressive Loading to Assess the Potential Use in Vibration Damping in Milling Operations2021 ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems (SMASIS) conference-paper Materials Science Shape Memory Alloy Transformations
Christian Brecher, Stephan Neus, Niclas Klumpen, Peter Dültgen, Ralf Theiß, Romina Krieg, +1 more
0citations -
Enzyme-Enhanced Selective Physicochemical Transformation of Lignocellulosic Fibers for Green Textiles: A Case Study with Dual-Purpose Pineapple Plant toward Sustainable Agro-Industries
Nattan Khemsup, Rattanawadee Srioanchan, Jitlada Boonlertsamut, Chiranicha Ninthap, Seyit Burhanettin Halac, Enrico Pisacane, +3 more
2citations -
A case study on mechanical enhancement of pineapple leaf fibers treated with lime and sodium bicarbonate2025 Environmental Technology & Innovation article Materials Science Natural Fiber Reinforced Composites Open access
Ben Vollbrecht, Annalisa Karin Nolte, Thomas Gries, Hareenanden Ramasawmy
0citations -
Hypothesis-Driven, Structure-Based Design in Photopharmacology: The Case of eDHFR Inhibitors2022 Journal of Medicinal Chemistry article Materials Science Photochromic and Fluorescence Chemistry Open access
Piermichele Kobauri, Nicole Stéphanie Galenkamp, Albert Marten Schulte, Jisk de Vries, Nadja A. Simeth, Giovanni Maglia, +4 more
27citations -
Accurate prediction of structural and mechanical properties on amorphous materials enabled through machine-learning potentials: a case study of silicon nitride2024 arXiv (Cornell University) preprint Materials Science Machine Learning in Materials Science Open access
Ganesh Kumar Nayak, Prashanth Srinivasan, Juraj Todt, Rostislav Daniel, Paolo Nicolini, David Holec
1citations -
Design of experiments framework for performance and environmental assessment in automotive context2023 Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering article Materials Science Material Selection and Properties
Andrea Antonacci, Ralf Matheis, Francesco Del Pero, Dinesh Thirunavukkarasu, Massimo Delogu
2citations -
Unravelling the Interplay between Degradation and Impedance through Physical Modeling – a White Box Approach2025 ECS Meeting Abstracts conference-abstract Materials Science Advancements in Solid Oxide Fuel Cells
Marisa Knappe, Thomas Kadyk, Andrei A. Kulikovsky, Michael Hermann Eikerling
0citations