Results 181 to 190 of about 574,123 (330)
Adopting digital technologies and 3D printing in prosthetics and orthotics: Lessons from a decade of clinical practice. [PDF]
Blocka D.
europepmc +1 more source
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi +4 more
wiley +1 more source
Brain health care accelerator: A primary care-centered model for scaling dementia diagnosis and care. [PDF]
Burns JM +17 more
europepmc +1 more source
A numerical model resulting from irreversible thermodynamics for describing transport processes is introduced, focusing on thermodynamic activity gradients as the actual driving force for diffusion. Implemented in CUDA C++ and using CalPhaD methods for determining the necessary activity data, the model accurately simulates interdiffusion in aluminum ...
Ulrich Holländer +3 more
wiley +1 more source
When Collaborative Robots Meet the Bedside: Nurses Informing Emerging Artificial Intelligence Technology. [PDF]
Smith SD, Weber D.
europepmc +1 more source
Creep experiments at 900°C on coarse‐grained steel‐ceramic composites containing recycled magnesia reveal that higher ceramic volume fractions significantly enhance the creep resistance. Detailed EBSD investigations identify subgrain formation in the steel matrix as the dominant deformation mechanism.
Moritz Müller +6 more
wiley +1 more source
A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora +4 more
wiley +1 more source
MXtalTools: A Toolkit for Machine Learning on Molecular Crystals. [PDF]
Kilgour M, Tuckerman ME, Rogal J.
europepmc +1 more source

