Results 201 to 210 of about 4,510,623 (383)
Accounting for peak shifting in traditional cost-benefit analysis [PDF]
When cost-benefit analysis fails to account for peak-shifting the benefits of road improvement options are miscalculated. Using theory from transportation economics, we derive a simple model that disaggregates the average daily equilibrium into peak ...
Axelsen, Dan, Snarr, Hal W.
core +1 more source
Powder Metallurgy and Additive Manufacturing of High‐Nitrogen Alloyed FeCr(Si)N Stainless Steel
The alloying element Nitrogen enhances stainless steel strength, corrosion resistance, and stabilizes austenite. This study develops austenitic FeCr(Si)N steel production via powder metallurgy. Fe20Cr and Si3N4 are hot isostatically pressed, creating an austenitic microstructure.
Louis Becker+5 more
wiley +1 more source
Cost-benefit analysis of the National Immunization Program in Spain. [PDF]
Pérez A+12 more
europepmc +1 more source
Diagnosis and treatment of renovascular stenosis - a cost-benefit analysis [PDF]
J. Radermacher, R. Brunkhorst
openalex +1 more source
Herein, silicon‐based nanoparticle coatings on X2CrNiMo17‐12‐2 metal powder are presented. The coating process scale, process parameters, nanoparticle size (65–200 nm) as well as the coating amount are discussed regarding powder properties. The surface roughness affects the flowability, while reflectance depends on the coating material and surface ...
Arne Lüddecke+4 more
wiley +1 more source
A Cost-Benefit Analysis Simulation for the Digitalisation of Cold Supply Chains. [PDF]
Schiffmann O+4 more
europepmc +1 more source
Measuring the unmeasurable: Cost-benefit analysis for new business start-ups and scientific research transfers [PDF]
Maria Papadakis, Albert N. Link
openalex +1 more source
Incomplete cost – incomplete benefit analysis in transport appraisal
R. Hickman, M. Dean
semanticscholar +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani+4 more
wiley +1 more source