A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source
Interpretable Machine Learning Framework for Nb─Si Based Alloy Design with Enhanced Fracture Toughness. [PDF]
Chen D +7 more
europepmc +1 more source
Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba +5 more
wiley +1 more source
Machine learning inspired compact quad port MIMO antenna with circular polarization for multi band wireless applications. [PDF]
Kumar A +5 more
europepmc +1 more source
A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour +5 more
wiley +1 more source
Free vibration behaviour of pomelo peel-inspired sandwich composite plates with additively manufactured cores: an explainable machine learning approach. [PDF]
Mani S, Krishnamoorthy A.
europepmc +1 more source
A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares +3 more
wiley +1 more source
HEA-Bench: An AI-Agent-Optimized Calculator of High-Entropy Alloy and Oxide Descriptors and Phase-Prediction Rules. [PDF]
Fieser D, Dewanjee U, Hu A.
europepmc +1 more source
A Graph-Based Machine Learning Framework to Assign Empirical Interaction Parameters for Novel Molecules. [PDF]
Fu Y, Stroet M, O'Mara ML.
europepmc +1 more source
Quaternion-based recurrent neural networks and machine learning for 3D modeling of superficial femoral artery dynamics: a theoretical framework for enhanced treatment outcomes. [PDF]
Patelis ND, Georgiadi EP, Arefai B.
europepmc +1 more source

