Results 211 to 220 of about 896,449 (354)
The Necessity of Dynamic Workflow Managers for Advancing Self‐Driving Labs and Optimizers
We assess the maturity and integration readiness of key methodologies for Materials Acceleration Platforms, highlighting the need for dynamic workflow managers. Demonstrating this, we integrate PerQueue into a color‐mixing robot, showing how flexible orchestration improves coordination and optimization.
Simon K. Steensen +6 more
wiley +1 more source
National rates of pediatric extremity fractures over a 20-year timespan in Denmark: a population-based descriptive cohort study. [PDF]
Lund AR +3 more
europepmc +1 more source
A machine learning‐guided self‐driving laboratory screened over 500 nickel‐based layered double‐hydroxide catalysts for alkaline oxygen evolution. Out of the eight metals, the robot uncovered a quaternary Ni–Fe–Cr–Co catalysts requiring only 231 mV overpotential to reach 20 mA cm−2.
Nis Fisker‐Bødker +3 more
wiley +1 more source
Differences in Total Healthcare Costs Among Injured and Non-Injured Danish Adolescent Handball Players: Data From the Health and Performance Promotion in Youth Sport (HAPPY) Cohort. [PDF]
Jakobsen SW +4 more
europepmc +1 more source
Objective and Subjective Measures of Child Poverty in Denmark
M. Azhar Hussain
openalex +2 more sources
An AI‐assisted approach is introduced to decode synthesis–performance relationships in metal‐organic framework‐derived supercapacitor materials using Bayesian optimization and predictive modeling, streamlining the search for optimal energy storage properties.
David Gryc +8 more
wiley +1 more source
Diagnoses of Multiple Sclerosis and Related Disorders and Disease-Modifying Therapies: A Comparison of the Danish Multiple Sclerosis Registry With Other Danish Health Registries. [PDF]
Joensen H +3 more
europepmc +1 more source
Danish stød – Towards simpler structural principles? [PDF]
Grønnum, Nina, Basbøll, Hans
openaire +3 more sources
Two‐photon polymerization enables high‐resolution microfabrication, but performing alignment when printing multiple structures is difficult. Here, we present a fast, robust, and open‐source protocol for automated alignment on Nanoscribe systems. Achieving ≈0.4 μm accuracy in under 5 s, our protocol reduces time and error in multimaterial printing. This
Daniel Maher +4 more
wiley +1 more source

