Results 171 to 180 of about 4,901,852 (302)
Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones
A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell +3 more
wiley +1 more source
GENERATIVE AI IN LEARNING DESIGN PRACTICE: BUILDING AN ONLINE COURSE FOR BIOMEDICAL SCIENCES RESEARCH PROGRAMS. [PDF]
Suresh D +4 more
europepmc +1 more source
Team-based learning: design, facilitation and participation. [PDF]
Burgess A +3 more
europepmc +1 more source
Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios +5 more
wiley +1 more source
Developing Time Management Competencies for First-Year College Students Through Experiential Learning: Design-Based Research. [PDF]
Wang K +5 more
europepmc +1 more source
Effect of Laser Deoxidation on Adhesive‐Bonded Aluminum in an Oxygen‐Free Atmosphere
This study investigates laser ablation of aluminum under oxygen‐free conditions. The goal is to produce oxide‐free substrates that enable improved adhesive bonding with epoxy. Optimized laser parameters (90% overlap, 300 µJ) combined with oxide‐free substrates result in the highest tensile strength of the adhesive bond.
Sandra Gerland +5 more
wiley +1 more source
Machine-learning design of ductile FeNiCoAlTa alloys with high strength. [PDF]
Sohail Y +11 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
Deep Learning Design for Loss Optimization in Metamaterials. [PDF]
Wu X, Zhao J, Xie K, Zhao X.
europepmc +1 more source

