Biomechanical and Computational Modeling of Metastatic Acetabular Defects: Influence of Tumor Location on the Risk of Fracture. [PDF]
Doddridge J +4 more
europepmc +1 more source
A combined finite element and phase‐field approach predicts the evolution of microstructure during the directional solidification of Ni‐based superalloys. The model reveals how withdrawal rate, temperature gradient, and wall thickness control the dendrite spacing, highlighting the strong effect of surface regions in thin sections where dendrite growth ...
Sean Böhm +3 more
wiley +1 more source
Computational modeling of intravitreal ranibizumab kinetics: Predicting macular drug concentration and half-life. [PDF]
Chowdhury JM.
europepmc +1 more source
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
Mathematical and computational modeling of biosystems at different levels of organization. [PDF]
Lashin SA, Ivanov RA, Matushkin YG.
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
Beyond Ebola: lessons to mitigate future pandemics
Carlos Castillo-Chavez +7 more
doaj +1 more source
Computational modeling and simulation in oncology. [PDF]
Baumgartner C.
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
Computational Modeling and Experimental Validation of Variabilities in Chemical Vapor Deposition of Graphene on Metals. [PDF]
Joshi T, Raman RKS, Ventikos Y.
europepmc +1 more source

