This article was accepted into the corpus but its outbound wikilinks were never NER-processed — typical at the deepest BFS hop or when the run's entity cap was reached. No expansion funnel to show.
| Landolt-Börnstein Database | |
|---|---|
| Name | Landolt-Börnstein Database |
| Discipline | Materials science; Physical chemistry; Solid-state physics |
| Publisher | Springer Nature |
| Country | Germany |
| First published | 1883 |
| Format | Digital database; Print volumes |
Landolt-Börnstein Database The Landolt-Börnstein Database is a comprehensive compilation of physical and chemical property data widely used in Max Planck Society, Fraunhofer Society, ETH Zurich, Massachusetts Institute of Technology, Stanford University research and industry. It provides evaluated numerical data and critically assessed tables for materials and compounds relied upon by Nobel Prize laureates, researchers at CERN, engineers at Siemens, and developers at Boeing and General Electric.
The Database aggregates experimental and theoretical data spanning metals, semiconductors, ceramics, polymers and fluids, informing work at IBM, Intel, Toyota, BASF, Dow Chemical and laboratories such as Los Alamos National Laboratory, Oak Ridge National Laboratory, Lawrence Berkeley National Laboratory and Rutherford Appleton Laboratory. It is organized by properties like thermophysical constants, elastic moduli, optical coefficients and phase diagrams used in projects at NASA, ESA, Lockheed Martin, Raytheon Technologies and academic groups at University of Cambridge, University of Oxford, Harvard University and Princeton University.
Origins trace to reference compilations associated with Fritz Haber-era chemistry and later editorial efforts aligned with publishers in Berlin and Leipzig, evolving through 20th-century editions influenced by scientists connected to ETH Zurich, University of Göttingen, University of Munich and the Helmholtz Association. Major editions were produced across the 20th century paralleling milestones at Bell Labs, the Manhattan Project, and post-war reconstruction involving Siemens and ThyssenKrupp. Transition to digital distribution was implemented by Springer Nature in the late 20th and early 21st centuries in coordination with institutions like Deutsche Forschungsgemeinschaft and European Research Council.
Entries include crystallographic parameters, thermodynamic quantities, transport coefficients, optical spectra and magnetic properties that support studies in Condensed Matter Physics groups at University of Tokyo, Tsinghua University, Peking University, École Polytechnique and Imperial College London. Data types cover scalar values, temperature-dependent functions, phase diagram maps and spectroscopic datasets used by teams at Synchrotron Radiation Facilitys such as DESY, ESRF, Diamond Light Source and APS and by researchers publishing in journals like Nature, Science, Physical Review Letters and Journal of Chemical Physics.
Available in print and online platforms hosted by Springer Nature, accessible through institutional subscriptions at universities like Columbia University, Yale University, University of California, Berkeley, University of Chicago and research centers such as Max Planck Institute for Solid State Research. Digital formats include searchable web interfaces, downloadable tables compatible with MATLAB, Python (programming language), R (programming language), OriginLab and importable datasets for use in simulation packages like COMSOL Multiphysics, ANSYS, VASP and Gaussian.
Curated by expert editors and contributors from institutes such as Max Planck Institute for Polymer Research, Fraunhofer Institute for Mechanics of Materials, NIST, JAXA and national academies including Royal Society, Académie des sciences and National Academy of Sciences. The editorial workflow integrates peer review practices akin to processes in Nature Communications and Proceedings of the National Academy of Sciences and follows standards referenced by ISO and IUPAC for data reliability, cross-checking against measurements from facilities like Brookhaven National Laboratory and National Renewable Energy Laboratory.
Used in materials design, thermodynamic modeling, failure analysis and device engineering in corporations such as Samsung, LG Electronics, Ford Motor Company, Volkswagen and Intel Corporation. It supports academic research cited in dissertations at University of California, Los Angeles and policy-impacting studies informing agencies like European Commission and United Nations Educational, Scientific and Cultural Organization. The Database underpins computational materials discovery efforts at initiatives like the Materials Genome Initiative, collaborations with MIT Lincoln Laboratory and high-throughput screening projects at Harvard-MIT Center for Ultracold Atoms.
Distributed under commercial licensing by Springer Nature with institutional access agreements used by libraries at British Library, Bibliothèque nationale de France, Deutsche Nationalbibliothek and consortia such as JSTOR and Elsevier negotiation frameworks. Availability options include individual subscriptions, site licenses for organizations like European Space Agency and consortia arrangements supporting researchers at Small Business Innovation Research (SBIR) awardees and startups spun out of Stanford University and Cambridge Enterprise.
Category:Materials data