[{"type":"research_data","date_created":"2026-08-24T16:29:50Z","user_id":"242086","department":[{"_id":"103"}],"author":[{"id":"242086","first_name":"Vahid","last_name":"Jamebozorgi","orcid":"0009-0005-5700-3549","full_name":"Jamebozorgi, Vahid"},{"first_name":"Robin","full_name":"Quisbrok, Robin","last_name":"Quisbrok"},{"last_name":"Schröder","full_name":"Schröder, Christian","orcid":"0000-0002-6391-6548","id":"35809","first_name":"Christian","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0002-6391-6548/work/225113776"}],"date_updated":"2026-08-28T13:46:22Z","related_material":{"link":[{"url":"https://github.com/Vahid-jb/Virtual-Characterization-Lab-Toolkit","relation":"confirmation"}]},"citation":{"ama":"Jamebozorgi V, Quisbrok R, Schröder C. <i>Virtual Characterization Lab Toolkit</i>. Vahid Jamebozorgi, self-published; 2026.","chicago":"Jamebozorgi, Vahid, Robin Quisbrok, and Christian Schröder. <i>Virtual Characterization Lab Toolkit</i>. Vahid Jamebozorgi, self-published, 2026.","mla":"Jamebozorgi, Vahid, et al. <i>Virtual Characterization Lab Toolkit</i>. Vahid Jamebozorgi, self-published, 2026.","bibtex":"@book{Jamebozorgi_Quisbrok_Schröder_2026, title={Virtual Characterization Lab Toolkit}, publisher={Vahid Jamebozorgi, self-published}, author={Jamebozorgi, Vahid and Quisbrok, Robin and Schröder, Christian}, year={2026} }","alphadin":"<span style=\"font-variant:small-caps;\">Jamebozorgi, Vahid</span> ; <span style=\"font-variant:small-caps;\">Quisbrok, Robin</span> ; <span style=\"font-variant:small-caps;\">Schröder, Christian</span>: <i>Virtual Characterization Lab Toolkit</i> : Vahid Jamebozorgi, self-published, 2026","short":"V. Jamebozorgi, R. Quisbrok, C. Schröder, Virtual Characterization Lab Toolkit, Vahid Jamebozorgi, self-published, 2026.","apa":"Jamebozorgi, V., Quisbrok, R., &#38; Schröder, C. (2026). <i>Virtual Characterization Lab Toolkit</i>. Vahid Jamebozorgi, self-published.","ieee":"V. Jamebozorgi, R. Quisbrok, and C. Schröder, <i>Virtual Characterization Lab Toolkit</i>. Vahid Jamebozorgi, self-published, 2026."},"abstract":[{"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.","lang":"eng"}],"research_group":[{"name":"Bielefelder Institut für Angewandte Materialforschung (BIfAM)","_id":"af778127-b366-11ed-bde2-daed2b8eafee"}],"year":"2026","_id":"7119","publisher":"Vahid Jamebozorgi, self-published","title":"Virtual Characterization Lab Toolkit","project":[{"_id":"f89a05bb-bcea-11ed-9442-ed382659bc06","name":"Bielefelder Institut für Angewandte Materialforschung"}],"status":"public","keyword":["Atomistic simulation","Defects","XRD","TEM","Vibrational analysis","Virtual material characterization"]}]