Results 41 to 50 of about 249,780 (278)

Recovery of natural active molecules using aqueous two-phase systems comprising of ionic liquids/deep eutectic solvents

Green Chemical Engineering, 2022
Due to environmental protection requirements, extraction of bioactive compounds from plant materials using environment-friendly green solvents has always been a research hotspot.
Yicong Wang, Shanshan Wang, Leilei Liu
doaj   +1 more source

Lignin Engineering in Forest Trees

Frontiers in Plant Science, 2019
Wood is a renewable resource that is mainly composed of lignin and cell wall polysaccharides. The polysaccharide fraction is valuable as it can be converted into pulp and paper, or into fermentable sugars.
Alexandra Chanoca, Lisanne de Vries, W. Boerjan   +2 more
semanticscholar   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

Microstructure Evolution of a VMnFeCoNi High‐Entropy Alloy After Synthesis, Swaging, and Annealing

Advanced Engineering Materials, EarlyView.
The synthesis and processing (rotary swaging and annealing) of the novel VMnFeCoNi alloy is investigated, alongside the estimation of the grain size effect on hardness. Analysis of a wide grain size range of recrystallized microstructures (12–210 µm) reveals a low annealing twin density.
Aditya Srinivasan Tirunilai, Zeki Ayrildi, Buse Şen, Maik Rajkowski, Mathias Redondo Garcia, Markus Stricker, Guillaume Laplanche   +6 more
wiley   +1 more source

Prediction and Assessment of Software Engineering Skill Set among Computer Science Students using Random Forest Algorithm

Communications on Applied Nonlinear Analysis
Introduction: Skill assessment of students is an evaluation process that captures the ability of each student, whether they are new to a skill or have mastered it.
J. Nizar
semanticscholar   +1 more source

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

Advanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara, Vincent Rat, Quentin Dubreuil, Patrice Valorge, Simon Goutier, Alain Denoirjean, Olivier Messe, Céline Ruelle, Jean‐Philippe Poli   +8 more
wiley   +1 more source

Evaluation and prediction of SVM parameters in engineering cost based on random forest hybrid optimization

Nonlinear Engineering
In the construction industry, the effectiveness of project cost management directly affects the success and sustainability of the project. Traditional cost forecasting methods often rely on experience and historical data, which is difficult to adapt to ...
Li Zhao, Haibo Li, L. Zhong, Xiaoyi Liu
semanticscholar   +1 more source

Electrochemical Behavior of Flame‐Sprayed Sc‐Doped AlCoCrFeMo High‐Entropy Alloy Coatings in 3.5% Sodium Chloride Solution

Advanced Engineering Materials, EarlyView.
Scandium (Sc)‐doped AlCoCrFeMo HEA coatings are fabricated via flame spraying with 0.1, 0.3, and 0.5 wt% Sc additions. Among these, the HEA‐Sc0.3 coating exhibits the highest corrosion resistance, indicated by a more positive corrosion potential and lower current density.
Pankaj Kumar, Akash Vyas, Mohammad Aatif Qazi, Nashit Jalal, Maria Ophelia Jarligo, Mostafa Yakout, Jing Liu, André McDonald   +7 more
wiley   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
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, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

USE OF ARTIFICIAL INTELLIGENCE IN UNDERGRADUATE EDUCATION OF THE DEPARTMENT OF FOREST INDUSTRIAL ENGINEERING: POTENTIALS, CHALLENGES AND FUTURE ROADMAP

Bartın University International Journal of Natural and Applied Sciences
Undergraduate education in Forest Industrial Engineering departments aims to provide students with in-depth knowledge and skills in topics such as the sustainable management of forest resources, the processing and production of forest products, quality control, and the optimization of industrial processes.
Bulent Kaygın, Ayjeren Charyyeva, Ayşe Kaçmaz   +2 more
openaire   +1 more source