Results 121 to 130 of about 1,592,171 (301)

Numerical Exploration of Thermal Shock Resistance in MgO–C Refractories

Advanced Engineering Materials, EarlyView.
A mesostructure‐resolved numerical framework is developed to evaluate the thermal shock resistance of MgO–C refractories. By modeling interface debonding under rapid temperature changes and introducing a modified thermal shock parameter that accounts for mesocracks, the study shows how graphite content and aggregate size influence thermal shock ...
Jishnu Vinayak Gopi, Stephan Roth, Christos G. Aneziris, Bjoern Kiefer   +3 more
wiley   +1 more source

A comparison of corporate distress prediction models in Brazil: hybrid neural networks, logit models and discriminant analysis [PDF]

This paper looks at the ability of a relatively new technique, hybrid ANN's, to predict corporate distress in Brazil. These models are compared with traditional statistical techniques and conventional ANN models.
Heather Mitchell, Juliana Yim
core  

Multimodal Data‐Driven Microstructure Characterization

Advanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang, Santiago Benito, Özge Özgün, Sebastian Weber, Markus Stricker   +4 more
wiley   +1 more source

Forecasting mechanical properties of steel structures through dynamic metaheuristic optimization for adaptive machine learning

Journal of Civil Engineering and Management
Machine learning (ML) presents a promising method for predicting mechanical properties in structural engineering, particularly within complex nonlinear structures under extreme conditions.
Ngoc-Mai Nguyen, Jui-Sheng Chou
doaj   +1 more source

A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science

Advanced Engineering Materials, EarlyView.
We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann, Sarath Menon, Raphael Röske, Johannes Steinhülb, Michael Selzer, Jan Janssen, Tilmann Hickel, Ruth Schwaiger, Jörg Neugebauer   +8 more
wiley   +1 more source

Editorial: Hybrid Biomolecular Modeling

Frontiers in Molecular Biosciences, 2018
Slavica Jonic, Osamu Miyashita, Isabelle Callebaut   +2 more
doaj   +1 more source

Physically Based and Data-Driven Models for Landslide Susceptibility Assessment: Principles, Applications, and Challenges

Remote Sensing
Susceptibility assessment is a crucial task for mitigating landslide hazards. It includes displacement prediction, stability analysis, and location prediction for individual hillslopes or regional mountainous areas.
Chenzuo Ye, Hao Wu, Takashi Oguchi, Yuting Tang, Xiangjun Pei, Yufeng Wu   +5 more
doaj   +1 more source

Direct Metal Deposition of Graphene–Ti28Nb35.4Zr Matrix Composites With Enhanced Mechanical, Corrosion, and Biocompatibility Properties for Bone Implants

Advanced Engineering Materials, EarlyView.
Graphene nanoplatelet (0.1 wt.%) reinforcement significantly enhances the performance of β Ti‐28Nb‐35.4Zr alloy. Grain refinement, reduced water contact angle, and improved surface characteristics promote osteoblast adhesion and complete surface coverage after 7 days.
Khurram Munir, Jixing Lin, Yuncang Li, Li Zhu, Paul F. A. Wright, Cuie Wen   +5 more
wiley   +1 more source

Hybrid Machine Learning Model for Predicting the Fatigue Life of Plain Concrete Under Cyclic Compression

Buildings
Accurately predicting the fatigue life of concrete is crucial for ensuring the safety and durability of structural elements subjected to cyclic loading.
Lucas Rodrigues Lunardi, Paulo Guilherme Cornélio, Lisiane Pereira Prado, Caio Gorla Nogueira, Emerson Felipe Felix   +4 more
doaj   +1 more source

Natural Bone‐Derived Ceramic Scaffolds Functionalized with Chitosan‐Gold, Chitosan‐Magnesium, and Chitosan‐Zinc for Enhanced Antibacterial Activity

Advanced Engineering Materials, EarlyView.
This study reports the development of antibacterial ceramic scaffolds derived from natural bovine bone. The bones were processed through sequential boiling and hydrogen peroxide treatment to remove organic matter, producing porous, mineral‐rich scaffolds.
Mohamad Hassan Taherian, Anh Thi Le, Anh Thi Van Le, Dung My Thi Dang, Tin Chanh Duc Doan, Chien Mau Dang, Martin Bolduc   +6 more
wiley   +1 more source