Results 81 to 90 of about 108,200 (286)
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer +4 more
wiley +1 more source
The metabolic activity of phytohormones and the accumulation of carbohydrates affect the reactivation of the cambial zone and the radial increment of woody plants.
Fajstavr M +5 more
doaj +1 more source
The circular economy is an efficient system to reuse materials reducing the amount of waste generated. In order to implement it in the timber sector, the InFutUReWood (Innovative Design for the Future Use and Reuse of Wood (Building) Components) is a ...
Íñiguez-González, Guillermo +4 more
core +1 more source
Self‐Cleaning Sensor Surfaces for Long‐Term Environmental Monitoring
Long‐term use of unattended outdoor sensors without soiling or biofouling is achieved through generation of a micro‐ and nanorough cuvette surface by combing hydrophobic nanoparticles with fluorinated polymers, crosslinked and surface‐attached through CHic chemistry. The coating demonstrates self‐cleaning behavior and prolonged outdoor stability, which
Sanam Kumari Rajak +4 more
wiley +1 more source
Effects of maleated polypropylene content on the extended creep behavior of wood‒polypropylene composites using the stepped isothermal method and the stepped isostress ...
Jyh-Horng Wu +5 more
core +1 more source
Entropy‐Driven Design of Low‐Melting‐Point Alloys via Compositionally Complex Strategy
Conventional low‐melting‐point alloys (LMPAs) are limited by a narrow compositional space and inherent property trade‐offs. This review presents an entropy‐driven design strategy that overcomes these limitations, ushering in a new class of low‐melting‐point compositionally complex alloys (LMCCAs).
Yinghui Shang +6 more
wiley +1 more source
Wood Science Curricula: A Plan For Improved Enrollment [PDF]
A marketing plan for increasing Wood Science and Technology enrollment at Michigan Technological University is outlined.
Armstrong, James P., Sommer, Susan L.
core +1 more source
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani +7 more
wiley +1 more source
Neem (Azadirachta indica L.) is a multifaceted and versatile tree of the Indian subcontinent linked with Indian heritage and culture. This article authenticates the insensitive actions of human beings as the major cause for the death of the neem trees ...
Ramachandran Sundararaj +4 more
doaj +1 more source
Wood densification and thermal modification: hardness, set-recovery and micromorphology
The density of wood can be increased by compressing the porous structure under suitable moisture and temperature conditions. One aim of such densification is to improve surface hardness, and therefore, densified wood might be particularly suitable for ...
Rautkari, Lauri +6 more
core +1 more source

