Tom Reclik

机构：RWTH Aachen University · ORCID：0009-0007-9395-5912

发表论文 17 篇 · 总被引 83 次 · h-index 3

代表论文

• Large-area, high-resolution characterisation and classification of damage mechanisms in dual-phase steel using deep learning (2019 · PLoS ONE · 被引 71)
• Mechanical properties and deformation mechanisms of the C14 Laves and µ-phase in the ternary Ta-Fe(-Al) system (2025 · Materials & Design · 被引 5)
• Resolution enhancement of scanning electron micrographs using artificial intelligence (2025 · Materials & Design · 被引 4)
• High-resolution, yet statistically relevant, analysis of damage in DP steel using artificial intelligence (2018 · arXiv (Cornell University) · 被引 2)
• Resolution Enhancement of Scanning Electron Micrographs using Artificial Intelligence (2024 · RWTH Publications (RWTH Aachen) · 被引 1)
• SPARSE — Efficient high-resolution SEM imaging of rare microstructural features across large areas by selective rescanning (2026 · Materials Characterization)