Results 131 to 140 of about 1,753,818 (296)

CFD modeling and sensitivity‐guided design of silicon filament CVD reactors

AIChE Journal, EarlyView.
Abstract Filament‐based chemical vapor deposition (CVD) for silicon (Si) coatings is often treated as an adaptation of planar deposition. But this overlooks fundamental shifts in transport phenomena and reaction kinetics. In filament CVD, the filament acts as a substrate, heat source, and flow disruptor simultaneously. In this work, we ask: What really
G. P. Gakis, G. Loachamín‐Suntaxi, I. G. Aviziotis, E. D. Koronaki, P. P. Filippatos, G. Chatzigiannakis, S. P. A. Bordas, D. Davazoglou, A. G. Boudouvis   +8 more
wiley   +1 more source

Hybrid Composite Materials Made of Recycled PET and Standard Polymer Blends Used in Civil Engineering. [PDF]

Polymers (Basel), 2023
Papán D, Lapašová L, Papánová Z.
europepmc   +1 more source

Asking the 5 W's for designing next‐generation bioprocessing

AIChE Journal, EarlyView.
Abstract Biotechnology is expanding beyond traditional, centralized fermentation and toward next‐generation bioprocessing paradigms that emphasize flexible deployment outside the laboratory with application‐specific performance. However, many bioprocesses fail to translate beyond proof‐of‐concept into industrially viable systems because early design ...
Sangdo Yook, Karoline Maria Vieira Nogueira, Raj Sukumar, Jenna Miller, Hal S. Alper   +4 more
wiley   +1 more source

Retracted: An Elastoplastic Softening Damage Model for Hydraulic Fracturing in Soft Coal Seams

Advances in Civil Engineering, 2020
Advances In Civil Engineering
doaj   +1 more source

Functionalised Mineral Materials in Environmental and Civil Engineering, Ceramics, Foundries and Metals. [PDF]

Materials (Basel), 2022
Bajda T.
europepmc   +1 more source

A Machine Learning Model for Interpretable PECVD Deposition Rate Prediction

Advanced 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, Wenrui Wang, Rui Chen, Tong Yu, Xiaojuan Zheng, Hua Shao, Dashan Shang, Ling Li, Lado Filipovic   +8 more
wiley   +1 more source

Extended Reality (XR) for Condition Assessment of Civil Engineering Structures: A Literature Review. [PDF]

Sensors (Basel), 2022
Catbas FN, Luleci F, Zakaria M, Bagci U, LaViola JJ, Cruz-Neira C, Reiners D.   +6 more
europepmc   +1 more source

SASICE: Safety and sustainability in civil engineering

, 2011
The performance of the built environment and the construction sector are of major importance in Europe’s long term goals of sustainable development in a changing climate. At the same time, the quality of life of all European citizens needs to be improved
Azevedo, J, Bloodworth, A., De Roeck, G, Esteban-Chapapria, V, Lobo, A, Lombaert, G, Magenes, G, Prinos, P, Savoia, M, Terti, G, Viggiani, G   +10 more
core  

RAMS: Residual‐Based Adversarial‐Gradient Moving Sample Method for Scientific Machine Learning in Solving Partial Differential Equations

Advanced Intelligent Discovery, EarlyView.
We propose a residual‐based adversarial‐gradient moving sample (RAMS) method for scientific machine learning that treats samples as trainable variables and updates them to maximize the physics residual, thereby effectively concentrating samples in inadequately learned regions.
Weihang Ouyang, Min Zhu, Wei Xiong, Si‐Wei Liu, Lu Lu   +4 more
wiley   +1 more source

Civil Engineering and Malaria Risk: A Descriptive Study in a Rural Area of Cubal, Angola. [PDF]

Trop Med Infect Dis, 2023
Gil Olivas E, Bruguera A, Eugenio ANE, Nunda JJ, Tchiyanga A, Ekavo FG, Cambali A, Moreno M, Bocanegra García C, Aznar ML, Salvador F, Sánchez-Montalvá A, Molina I.   +12 more
europepmc   +1 more source