Results 131 to 140 of about 27,546 (304)

State of the art of industrial wood protection in Portugal [PDF]

open access: yes, 2016
This work intended to give a perspective of industrial wood protection in Portugal. A survey was made of the companies treating wood mainly for use classes 3 and 4 such as autoclave treatments with biocides and wood modification procedures.
Carmo, Júlia   +3 more
core  

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

open access: yesAdvanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen   +4 more
wiley   +1 more source

Pembuatan Bio-Oil dari Kayu Cemara (Causarina Equisetifolal) dengan Teknologi Pirolisis Menggunakan Katalis MO/NZA [PDF]

open access: yes, 2016
Bio-oil can be produced by pyrolisis of causarina wood with catalyst Mo/NZA. The purpose of this research was to produce bio-oil from causarina wood, determine the effect of theimpregnation percentage of Mo metal and ratio of Mo/NZA catalyst on the yield
Amri, A. '. (Amun)   +2 more
core  

Recent Advances in Nano‐Microstructured Catalysts for Electrochemical Seawater Electrocatalysis

open access: yesAdvanced Energy Materials, EarlyView.
This review highlights advances in nano‐ and microstructured catalysts for electrochemical seawater conversion. It elucidates design principles, mechanistic understanding, and machine‐learning‐assisted discovery, and outlines key challenges and future opportunities toward efficient, selective, and durable seawater electrocatalysis.
Xiaodong Shao   +5 more
wiley   +1 more source

Foreign labor, peer‐networking and agricultural efficiency in the Italian dairy sector

open access: yesAgribusiness, EarlyView.
Abstract While the presence of immigrants in the agricultural sector is widely acknowledged, the empirical evidence on its economic consequences is lacking, especially from a microeconomic perspective. Using the Farm Accountancy Data Network panel data for Italian dairy farms in the period 2008–2018, the present study investigates the relationship ...
Federico Antonioli   +2 more
wiley   +1 more source

AI in chemical engineering: From promise to practice

open access: yesAIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew   +4 more
wiley   +1 more source

Impregnation of the wood by flame retardants

open access: yesBezpieczeństwo i Technika Pożarnicza, 2011
В данной статье описаны химический состав и применение огнезащитных средств, предназначенных для защиты древесины от огня. Во вступлении представлена основная информация о составе древесины и ее реакции на огонь. Остальная часть статьи касается применения огнезащитных средств в пропитке деревянных изделий.
NAGRODZKA MONIKA, MAŁOZIĘĆ DANIEL
openaire   +1 more source

Macrophage Phenotype Detection Methodology on Textured Surfaces via Nuclear Morphology Using Machine Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi   +5 more
wiley   +1 more source

Quality Evaluation of Fast-Growing Wood Impregnated with Nano-Silica Synthesized from Betung Bamboo Stems

open access: yesJurnal Sylva Lestari
Sengon (Paraserianthes falcataria L. Nielsen.) and jabon (Anthocephalus cadamba Miq.) are fast-growing wood of low quality. This study aims to overcome the disadvantages of low-quality wood via impregnation using monoethylene glycol (MEG), and nano ...
Istie Rahayu   +4 more
doaj   +1 more source

A Machine Learning Model for Interpretable PECVD Deposition Rate Prediction

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study develops six machine learning models (k‐nearest neighbors, support vector regression, decision tree, random forest, CatBoost, and backpropagation neural network) to predict SiNx deposition rates in plasma‐enhanced chemical vapor deposition using hybrid production and simulation data.
Yuxuan Zhai   +8 more
wiley   +1 more source

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