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(2026). MultiBEST – Multiscale/Multiphase Bridging Experiment and Simulation Toolkit. Vahid Jamebozorgi, self-published.","chicago":"Jamebozorgi, Vahid, Robin Quisbrok, Amirbahador Nasari, and Christian Schröder. MultiBEST – Multiscale/Multiphase Bridging Experiment and Simulation Toolkit. Vahid Jamebozorgi, self-published, 2026.","short":"V. Jamebozorgi, R. Quisbrok, A. Nasari, C. Schröder, MultiBEST – Multiscale/Multiphase Bridging Experiment and Simulation Toolkit, Vahid Jamebozorgi, self-published, 2026.","mla":"Jamebozorgi, Vahid, et al. MultiBEST – Multiscale/Multiphase Bridging Experiment and Simulation Toolkit. Vahid Jamebozorgi, self-published, 2026.","ieee":"V. Jamebozorgi, R. Quisbrok, A. Nasari, and C. Schröder, MultiBEST – Multiscale/Multiphase Bridging Experiment and Simulation Toolkit. 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Directly simulating experimentally identical samples—using atomistic and continuum models—is a critical yet largely unrealized step toward predictive, microstructure‑aware materials discovery. In this work, we introduce MultiBEST, a unified GUI‑based framework that constructs experimentally faithful atomistic and continuum models directly from 2D micrographs, EBSD data, or simple user sketches. The resulting continuum representations explicitly resolve grain boundaries as crystallography‑aware volumetric interfaces with distinct properties, enabling multiscale modelling that approaches atomistic‑level fidelity. MultiBEST delivers an end‑to‑end pipeline—from image processing to final model export—with tunable computational cost, from rapid prototyping to large‑scale simulations.","lang":"eng"}],"date_updated":"2026-08-28T13:46:33Z","status":"public","date_created":"2026-08-24T16:35:13Z"},{"date_updated":"2026-08-28T13:46:22Z","status":"public","date_created":"2026-08-24T16:29:50Z","user_id":"242086","abstract":[{"lang":"eng","text":"Material discovery using traditional experimental methods is a slow and costly process, often limited by the sampling process, characterization condition constraints, and the requirement for expensive equipment. While computational tools have transformed materials research by accelerating the investigation of material properties, a significant gap remains in connecting high-fidelity simulations with established experimental characterization techniques. Virtual Characterization Lab (VCL), a unified, open-source toolkit designed to bridge this gap. The VCL streamlines pre- and post-processing workflows—primarily designed for, but not limited to, molecular dynamics (MD) simulations. It enables researchers to analyze crystallography and generate essential characterization data, including X-ray Diffraction (XRD), Selected Area Electron Diffraction (SAED), Vibrational Density of States (VDOS), and Infrared (IR) spectra, all within a single, intuitive graphical user interface (GUI). By integrating every step from initial structure preparation to final data visualization, the VCL accelerates materials discovery by making virtual characterization more efficient, accessible, and directly comparable to experimental results."}],"citation":{"chicago":"Jamebozorgi, Vahid, Robin Quisbrok, and Christian Schröder. Virtual Characterization Lab Toolkit. Vahid Jamebozorgi, self-published, 2026.","apa":"Jamebozorgi, V., Quisbrok, R., & Schröder, C. (2026). Virtual Characterization Lab Toolkit. 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Kunststoffe, 116(2), 20–24."},"_id":"6598","intvolume":" 116","user_id":"71369","abstract":[{"lang":"ger","text":"Aspekte wie Nachhaltigkeit und Ressourcenschutz spielen nicht nur aus ökologischen, sondern auch aus ökonomischen Gründen eine zunehmend wichtige Rolle. Dies zeigt sich auch im Produktdesign. Wer heute Produkte entwickelt, sollte direkt den Lebenszyklus, die Chancen zur Verlängerung der Nutzungsphase und das Ende des Produktlebens mitdenken. Dies dürfte mittelfristig zu Wettbewerbsvorteilen führen. Ineinandergreifende Strategien bieten eine ganzheitliche Lösung."}],"language":[{"iso":"ger"}],"publication":"Kunststoffe","date_updated":"2026-07-08T10:54:20Z","status":"public","publication_status":"published","page":"20-24","date_created":"2026-02-09T16:14:22Z","project":[{"_id":"f89a05bb-bcea-11ed-9442-ed382659bc06","name":"Bielefelder Institut für Angewandte Materialforschung"}],"title":"Neun entscheidende Punkte","keyword":["Kreislaufwirtschaft","Circular Economy","R-Prinzip","Design for R"],"volume":116,"issue":"2","type":"journal_article","publisher":"Carl Hanser Verlag","year":"2026","article_type":"review"},{"citation":{"bibtex":"@article{Jamebozorgi_Rasim_Schröder_2025, title={Multiscale modelling of corrosion-induced intergranular strain in iron under alkaline conditions}, volume={258}, DOI={10.1016/j.commatsci.2025.114016}, number={114016}, journal={Computational Materials Science}, publisher={Elsevier BV}, author={Jamebozorgi, Vahid and Rasim, Karsten and Schröder, Christian}, year={2025} }","ama":"Jamebozorgi V, Rasim K, Schröder C. 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