Automated Processing of Mechanical Test Data for Various Composite Materials Using MATLAB by Vasile BRIA, Marius BODOR

“…The present work addresses this issue by proposing an algorithm written using MATLAB software and applying it in processing data from mechanical testing of selected composite materials with various compositions and behaviours.…”
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Mathematical data processing according to digital image correlation method for polymer composites by Elena M. Strungar, Dmitrii S. Lobanov

“…The authors have identified the relation of the chosen parameters of experimental data processing using digital image correlation method with the scaled levels of consideration of composite materials strain processes. …”
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Solutions for Lithium Battery Materials Data Issues in Machine Learning: Overview and Future Outlook by Pengcheng Xue, Rui Qiu, Chuchuan Peng, Zehang Peng, Kui Ding, Rui Long, Liang Ma, Qifeng Zheng

Subjects: “…data processing strategies…”
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Sharing Research Data in Collaborative Material Science and Engineering Projects by Tim Opatz, Kim Feldhoff, Hajo Wiemer, Steffen Ihlenfeldt

“…The objective of this paper was to examine the potential for the automated release of research data within the context of material science consortium projects, with adherence to the stipulated rules and contractual agreements, while also considering all relevant framework conditions, including those pertaining to protection and confidentiality. …”
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Tectonics of rock loosening: geological data and physics of the process by M. G. Leonov, G. G. Kocharyan, A. F. Revuzhenko, S. V. Lavrikov

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Integrating machine learning with advanced processing and characterization for polycrystalline materials: a methodology review and application to iron-based superconductors by Akiyasu Yamamoto, Akinori Yamanaka, Kazumasa Iida, Yusuke Shimada, Satoshi Hata

“…We focus on the constituents of polycrystalline materials (i.e. grains, grain boundaries [GBs], and microstructures) and summarize their various aspects (experimental synthesis, artificial single GBs, multiscale experimental data acquisition via electron microscopy, formation process modeling, property description modeling, 3D reconstruction, and data-driven design methods). …”
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The road to circularity: a framework for and experiences in collecting road data in a circular renovation process by Bram Entrop

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Data base of the steel materials characteristics by S. P. Kundas, A. V. Lemzikov, B. A. Tonkonogov, P. S. Gurchenko, I. S. Gauhshtein

“…In the article there is given data base of the steel materials and program cover for its filling and work. …”
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Proposed improvement of product support packaging material defects using the Cross-Industry Standard Process for Data Mining (CRISP-DM) approach by Rina Fitriana, Anik Nur Habyba, Gina Almas Nabiha, Sannia Mareta

“…This research aims to identify the causes and provide suggestions to improve the Quality of product support packaging materials. The methods used in data mining with the CRISP-DM (Cross-Industry Standard Process For Data Mining) approach. …”
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Spatial Structure Analysis for Subsurface Defect Detection in Materials Using Active Infrared Thermography and Adaptive Fixed-Rank Kriging by Chun-Han Chang, Stefano Sfarra, Nan-Jung Hsu, Yuan Yao

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Radiological Assessment of Building Materials Containing Processed Bauxite by Uku Andreas Reigo, Cansu Özcan Kılcan, Alan H. Tkaczyk

“…This processing causes the byproducts to be considered technologically enhanced naturally occurring radioactive material (NORM). …”
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Unified System for Processing Non-Personalized Data by A. V. Brezhnev, E. Z. Gukov

“…The object of the study is a unified system for processing non-personalized data, the issue of creating this system and the opportunities that open up to the user.The subject of the study is the question of the data that can be processed in this system, as well as the section in which the data can be interpreted.Research methods. …”
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Data‐Driven Materials Research and Development for Functional Coatings by Kai Xu, Xuelian Xiao, Linjing Wang, Ming Lou, Fangming Wang, Changheng Li, Hui Ren, Xue Wang, Keke Chang

“…However, its design often involves time‐consuming experimentation with multiple materials and processing parameters. To overcome these limitations, data‐driven approaches are gaining traction in materials science. …”
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Starrydata: from published plots to shared materials data by Yukari Katsura, Masaya Kumagai, Tomoya Mato, Yu Takada, Yuki Ando, Erina Fujita, Fumikazu Hosono, Eiji Koyama, Farhan Mudasar, Ton Nu Thanh Phuong, Naoto Saito, Yoshihiro Sakamoto, Atsumi Tanaka, Dewi Yana, Kaoru Kimura, Koji Tsuda, Masahiko Demura

“…Starrydata2 streamlines the manual data collection process through partial automation. …”
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THE POTENTIAL OF POLLARD AND RICE BRAN WITH FRACTIONATION PROCESS AS RAW MATERIALS FOR HIGH FIBER PROCESSED FOOD by Ainun Nafisah, Nahrowi Nahrowi

“…<p>Rice bran and pollard are by-products of the rice and wheat milling process. These two ingredients are generally not used as the main raw material for food products and are diverted as feed ingredients due to their low nutritional content. …”
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The first data on the role of rhyncholites in the process of epibiota by E. S. Gaponenko, M. A. Ulshin, V. N. Komarov

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Data–driven Approach for Extracting Steady–state Data from Unsteady–state Flow Stress without Material Modeling by Ota Eiichi, Fujimura Minami, Sato Yasumoto

“…To overcome these challenges, we propose a simple method for directly extracting steady–state data by interpolating unsteady–state data using a machine learning method without material modeling. …”
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Investigation on Melting Process of Ice Cold-plate with Porous Material by Jiang Yulong, Zhang Sujun, Li Juxiang

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Features of light propagation in insulating materials of electronics under laser processing by S.D. Tochilin, S.P. Lushchin, D.S. Tochilin

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Applications of natural language processing and large language models in materials discovery by Xue Jiang, Weiren Wang, Shaohan Tian, Hao Wang, Turab Lookman, Yanjing Su

“…This review explores the application of NLP tools in materials science, focusing on automatic data extraction, materials discovery, and autonomous research. …”
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