Results 161 to 170 of about 407,217 (307)
A percolation model of eco-innovation diffusion: the relationship between diffusion, learning economies and subsidies [PDF]
An obstacle to the widespread adoption of environmentally friendly energy technologies such as stationary and mobile fuel cells is their high upfront costs. While much lower prices seem to be attainable in the future due to learning curve cost reductions
Simona Cantono, Gerald Silverberg
core
Optimization of the Production of Rubber Compounds Using Mathematical Models
Rubber compounds were mixed in a batch internal mixer, and symbolic regression was used to derive mathematical models linking recipe and process parameters to ram path, torque, and mixing quality (incorporation, dispersion, distribution). Subsequent optimization with evolutionary algorithms identified operating conditions that reduce specific energy ...
Anke Bardehle +7 more
wiley +1 more source
Robotic versus laparoscopic intracorporeal anastomosis learning curve: a systematic review. [PDF]
Dhadlie S +6 more
europepmc +1 more source
Environmental Kuznets Curve: An Envelope of Technological Progress
This paper develops a growth model to provide a theoretical explanation of the environmental Kuznets curve (EKC). Paper explains how EKC is shaped with economic development for a given technology.
Dinda, Soumyananda
core
A novel workflow for investigating hydride vapor phase epitaxy for GaN bulk crystal growth is proposed. It combines Design of experiments (DoE) with physical simulations of mass transport and crystal growth kinetics, serving as an intermediate step between DoE and experiments.
J. Tomkovič +7 more
wiley +1 more source
Post-ostial kink of the uterine artery-a technical hurdle in the UAE learning curve. [PDF]
Clements W.
europepmc +1 more source
Scale in Technology and Learning-by-Doing in the Windmill Industry [PDF]
This paper examines the remarkable development of technology and the fast learning-by-doing in the windmill industry since it emerged in the beginning of the 1980s.
Jensen, Camilla +2 more
core
Knowledge‐based atomistic workflows are presented for mechanical and thermodynamic properties. By coupling modular simulations with ontology‐aligned metadata and provenance, Fe case studies on elastic behavior, defects, thermal properties, and Hall–Petch strengthening reveal how FAIR, queryable, and reusable simulation data can be generated. Mechanical
Abril Azócar Guzmán +5 more
wiley +1 more source
The effect of a learning curve on outcomes of vestibular schwannoma surgery: A systematic review. [PDF]
Deeb JMC +8 more
europepmc +1 more source
An Experimental High‐Throughput Approach for the Screening of Hard Magnet Materials
An entire workflow for the high‐throughput characterization and analysis of compositionally graded magnetic films is presented. Characterization protocols, data management tools and data analysis approaches are illustrated with test case Sm(Fe, V)12 based films.
William Rigaut +16 more
wiley +1 more source

