TY - GEN A1 - Li, Yuzhi A1 - Pyczak, Florian A1 - Paul, Jonathan A1 - Yao, Zekun T1 - Oxidation behaviors of Co-Al-W-0.1B superalloys in a long-term isothermal exposure at 900 °C T2 - Journal of Materials Science and Technology Y1 - 2018 U6 - https://doi.org/10.1016/j.jmst.2018.03.013 SN - 1005-0302 VL - 34 IS - 11 SP - 2212 EP - 2217 ER - TY - GEN A1 - Lazurenko, Daria V. A1 - Stark, Andreas A1 - Esikov, Maksim A. A1 - Paul, Jonathan A1 - Bataev, Ivan A. A1 - Kashimbetova, Adelya A. A1 - Mali, Vyacheslav I. A1 - Lorenz, Uwe A1 - Pyczak, Florian T1 - Ceramic-Reinforced γ-TiAl-Based Composites: Synthesis, Structure, and Properties T2 - Materials Y1 - 2019 U6 - https://doi.org/10.3390/ma12040629 SN - 1996-1944 VL - 12 IS - 4 ER - TY - GEN A1 - Schnabel, Jan Eike A1 - Bargmann, Swantje A1 - Paul, Jonathan David Heaton A1 - Oehring, Michael A1 - Pyczak, Florian T1 - Work hardening and recovery in fully lamellar TiAl: relative activity of deformation systems T2 - Philosophical Magazine Y1 - 2019 SN - 1478-6435 SN - 1478-6443 VL - 99 IS - 2 SP - 148 EP - 180 ER - TY - GEN A1 - Li, Yuzhi A1 - Pyczak, Florian A1 - Stark, Andreas A1 - Wang, Li A1 - Oehring, Michael A1 - Paul, Jonathan A1 - Lorenz, Uwe T1 - Temperature dependence of misfit in different Co–Al–W ternary alloys measured by synchrotron X-ray diffraction T2 - Journal of Alloys and Compounds Y1 - 2020 SN - 0925-8388 VL - 819 ER - TY - GEN A1 - Lazurenko, Daria V. A1 - Laptev, Ilia S. A1 - Golkovsky, Mikhail G. A1 - Stark, Andreas A1 - Paul, Jonathan A1 - Bataev, Ivan A. A1 - Ruktuev, Alexey A. A1 - Song, Lin A1 - Gollwitzer, Christian A1 - Pyczak, Florian T1 - Influence of the Ti/Al/Nb ratio on the structure and properties on intermetallic layers obtained on titanium by non-vacuum electron beam cladding T2 - Materials Characterization Y1 - 2020 SN - 1044-5803 VL - 163 ER - TY - GEN A1 - Liang, Zhida A1 - Paul, Jonathan A1 - Stark, Andreas A1 - Bezold, Andreas A1 - Neumeier, Steffen A1 - Göken, Mathias A1 - Pyczak, Florian T1 - High-Temperature CoNi-Based Superalloys Strengthened by γ′-(Ni,Co)3(Cr,Al,Ti,X): The Effect of Refractory Elements T2 - Metallurgical and materials transactions. A, Physical metallurgy and materials science N2 - Recent research on Co-based and CoNi-based alloys revealed that the Co–Al–W-system provides interesting properties, however, the high content of W addition triggers high mass density of alloys which limits its industrial application. Therefore, new high temperature superalloys based on the Co–Ni–Al–Ti-system with high content Cr and strengthened by γ′-(Ni,Co)3(Cr,Al,Ti) precipitates, have been developed, and the effect of different refractory element additions was investigated. STEM-EDS and HEXRD were employed to determine the elemental partitioning behavior and the lattice misfit between the γ and γ′ phases. Ta and Nb strongly concentrate within the γ′ phase, whereas Mo weakly partitions to the γ phase. W distributes equally between the γ and γ′ phases. These new superalloys have an unexpectedly high positive misfit compared with some conventional Ni-based superalloys and Co-based superalloys. Nb and Ta additions increase the lattice misfit further, while Mo and W decrease the lattice misfit. The effect of refractory elements alloying on the yield stress at room temperature was evaluated by analyzing the contributions of different strengthening mechanisms. Alloying with Nb or Ta significantly improves precipitation strengthening by increasing the antiphase boundary energy. Mo has the highest solid solution strengthening effect in the γ phase, followed by W. Compared with some conventional Ni-based superalloys, the investigated new CoNi-based superalloys exhibited better mechanical properties at high temperature, which indicates that these compositionally complex alloys are possible candidates for high temperature applications. Y1 - 2022 U6 - https://doi.org/10.1007/s11661-022-06795-y SN - 1543-1940 VL - 54 (2023) IS - 5 SP - 1620 EP - 1634 ER - TY - GEN A1 - Wang, Li A1 - Liang, Xiaopeng A1 - Liu, Bin A1 - Oehring, Michael A1 - Paul, Jonathan David Heaton A1 - Liu, Jie A1 - Song, Min A1 - Pyczak, Florian A1 - Liu, Yong T1 - Stacking fault formation in perovskite Ti3AlC carbides in a TiAl based alloy during creep at 800°C T2 - Scripta Materialia Y1 - 2023 U6 - https://doi.org/10.1016/j.scriptamat.2022.115034 SN - 1872-8456 SN - 1359-6462 VL - Vol. 222 ER - TY - GEN A1 - Fröbel, Ulrich A1 - Stark, Andreas A1 - Paul, Jonathan A1 - Pyczak, Florian T1 - Assessment of the capability of Zr, Y, La, Gd, Dy, C, and Si to enhance the creep strength of gamma titanium aluminide alloys based on their effect on flow stress and thermal activation parameters T2 - Intermetallics Y1 - 2023 U6 - https://doi.org/10.1016/j.intermet.2023.108018 SN - 1879-0216 SN - 0966-9795 VL - Vol. 162 ER - TY - GEN A1 - Cao, Xianli A1 - Wang, Li A1 - Tao, Hui A1 - He, Weiwei A1 - Liang, Xiaopeng A1 - Liu, Bin A1 - Oehring, Michael A1 - Paul, Jonathan A1 - Pyczak, Florian A1 - Liu, Yong T1 - Morphology evolution of P-Ti3AlC carbides and their influence on creep properties in a crept Ti-45Al-5Nb-0.75C alloy T2 - Journal of Materials Research and Technology Y1 - 2024 U6 - https://doi.org/10.1016/j.jmrt.2024.02.146 SN - 2238-7854 VL - 29 SP - 4181 EP - 4190 PB - Elsevier BV ER - TY - GEN A1 - Gupta, Vipul A1 - Paul, Jonathan David Heaton A1 - Schmitt, Ingo A1 - Pyczak, Florian T1 - SciLitMiner : an intelligent system for scientific literature mining and knowledge discovery T2 - Advanced intelligent systems N2 - Recent advances in data mining have enabled automation in literature‐based discovery (LBD), allowing synergistic evaluation of experimental findings reported in scientific publications. However, existing tools and digital libraries fall short in generating relevant literature collections and evaluating them for highly specific questions. This article presents SciLitMiner, an intelligent system to address this gap. SciLitMiner enables federated ingestion of literature from digital libraries; applies advanced retrieval techniques, including dataset‐aware retrieval from visual elements, to identify relevant studies; and leverages retrieval‐augmented generation (RAG) tailored to domain‐specific knowledge reasoning. The system is applied in materials science to study the creep behavior of γ‐TiAl alloys, revealing the intricate interplay between material, process, microstructure, and creep rate, represented through knowledge graphs. Two domain experts rate responses from the knowledge reasoning workflow with OpenAI large language models (LLMs) as the backbone above “good” (3 on a 5‐point Likert scale) in over 90% across qualitative criteria, indicating strong performance. In a case study, the workflow also outperforms gpt‐4.5‐turbo with web search and other leading tools in reliability. A second case study benchmarks open‐source LLMs as drop‐in replacements for proprietary models, demonstrating comparable‐to‐superior performance. The system's flexibility enables its use in automated LBD across diverse research domains. Y1 - 2025 U6 - https://doi.org/10.1002/aisy.202501235 SN - 2640-4567 SP - 1 EP - 20 PB - Wiley CY - Weinheim ER -