A Perspective on Materials Databases by Stephen Freiman, John Rumble

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Materials database for 3D printed multi-materials anatomical models by Lim, Yuan Fang

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Material Databases and Validation in Modelling the Structure of Castings Using the Cellular Automaton Method by Jakub Hajkowski, Robert Sika, Michał Rogalewicz, Paweł Popielarski, Waldemar Matysiak, Stanislaw Legutko

“…In simulation studies, it is important to use reliable and validated material database, under appropriate conditions. It is necessary to predict the properties of castings with a comprehensive, new and practical approach to modelling the formation of phase components of structure in terms of both macroscale and microscale phenomena (Multiscale and Multiphysics). …”
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A thermoelectric materials database auto-generated from the scientific literature using ChemDataExtractor by Odysseas Sierepeklis, Jacqueline M. Cole

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High-throughput screening of suitable nitrogen carriers for chemical looping ammonia synthesis by Reinaldo Juan Lee Pereira, Ian S. Metcalfe, Wenting Hu

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LiMOX—A Point Cloud Lidar Model Toolbox Based on NVIDIA OptiX Ray Tracing Engine by Relindis Rott, David J. Ritter, Stefan Ladstätter, Oliver Nikolić, Marcus E. Hennecke

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Data-driven estimation of plastic properties in work-hardening model combining power-law and linear hardening using instrumented indentation test by Ta-Te Chen, Ikumu Watanabe

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Alloys innovation through machine learning: a statistical literature review by Alireza Valizadeh, Ryoji Sahara, Maaouia Souissi

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Data-driven estimation of plastic properties of alloys using neighboring indentation test by Ta-Te Chen, Ikumu Watanabe, Dayuan Liu, Kenta Goto

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Application of deep neural network learning in composites design by Yinli Wang, Constantinos Soutis, Daisuke Ando, Yuji Sutou, Fumio Narita

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Use of computers in managing materials property data / by Graham, James A., American Society of Mechanical Engineers. Pressure Vessels and Piping Division, Winter Annual Meeting of the American Society of Mechanical Engineers (1980: Chicago)

Kajian aerodinamik terhadap rekabentuk badan kereta sports [microfilm] / by Norazlan Arsad

Field Reflectance Measurements at Night of Beach and Desert Sands within a Particulate BRDF Model by John E. Wise, John C. Mars

“…It is found that this combination produces parameterized BRDF of sufficient accuracy to allow its inclusion in a remote sensing materials database. The measurement technique was developed in the laboratory and transitioned to perform in-plane BRDF field measurements of sands at night. …”
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Data mining for structure type prediction by Tibbetts, Kevin (Kevin Joseph)

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Small data machine learning in materials science by Pengcheng Xu, Xiaobo Ji, Minjie Li, Wencong Lu

“…Next, the methods of dealing with small data were introduced, including data extraction from publications, materials database construction, high-throughput computations and experiments from the data source level; modeling algorithms for small data and imbalanced learning from the algorithm level; active learning and transfer learning from the machine learning strategy level. …”
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Compilation of a materials cost database for a web-based composites cost estimator by Boyer, John R. (John Raymond), 1979-

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Periodontal disease and Preeclampsia. Literature review by Ana Londoño, Angélica Salcedo, Isabel Silva, Liliana Vera, Carlos Cruz

“…Objective: To review the literature with the purpose of determine the possible association between periodontal disease (PD) and Preeclampsia. Methods and Materials: Database search of scientific publications in order to review studies reported from 1996 to 2007 to assess the possible association between PD and Preeclampsia. …”
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Density-of-states similarity descriptor for unsupervised learning from materials data by Martin Kuban, Santiago Rigamonti, Markus Scheidgen, Claudia Draxl

“…As an application example, we study the Computational 2D Materials Database (C2DB) that hosts thousands of two-dimensional materials with their properties calculated by density-functional theory. …”
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Centralized Database Access: Transformer Framework and LLM/Chatbot Integration-Based Hybrid Model by Diana Bratić, Marko Šapina, Denis Jurečić, Jana Žiljak Gršić

“…This integration ensures precise responses drawn from a comprehensive educational materials database. The model architecture uses mathematically defined algorithms for precise functions that enable deep text processing through advanced word embedding methods. …”
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Two-dimensional ferroelectrics from high throughput computational screening by Mads Kruse, Urko Petralanda, Morten N. Gjerding, Karsten W. Jacobsen, Kristian S. Thygesen, Thomas Olsen

“…The starting point is 252 pyroelectric materials from the computational 2D materials database (C2DB) and from these we identify 63 ferroelectrics. …”
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