Results 91 to 100 of about 351,258 (241)

Safety of Sodium‐Ion Batteries: Evaluation and Perspective from Component Materials to Cells, Modules, and Packs

Advanced Energy Materials, EarlyView.
This review provides a bottom‐up evaluation of sodium‐ion battery safety, linking material degradation mechanisms, cell engineering parameters, and module/pack assembly. It emphasizes that understanding intrinsic material stability and establishing coordinated engineering control across hierarchical levels are vital for preventing degradation coupling ...
Won‐Gwang Lim, Seoa Kim, Erik A. Wu, Darren H. S. Tan, Shawn Peng, Xiaolin Li   +5 more
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing

Advanced Intelligent Systems, EarlyView.
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian, Liuchao Jin, Qi Ge, Wei‐Hsin Liao, Andrés Díaz Lantada, Francisco Franco Martínez, Tianyu Zhang, Tao Liu, Charlie C. L. Wang, Mohammad Hossein Mosallanejad, Reza Ghanavati, Abdollah Saboori, Alejandro De Blas De Miguel, William Solórzano‐Requejo, Yi Cai, Xiangyang Dong, Huangyi Qu, Najmeh Samadiani, Guangyan Huang, Austin Downey, Yanzhou Fu, Lang Yuan, Tsz‐Kwan (Glory) Lee, Arbind Agrahari Baniya, Eisha Waseem, Abdul Rahman Sani, Abbas Z. Kouzani, Yijia Wu, Markus P. Nemitz, Masoud Shirzad, Dageon Oh, Seung Yun Nam, Amedeo Franco Bonatti, Irene Chiesa, Gabriele Maria Fortunato, Giovanni Vozzi, Carmelo De Maria, Mahdi Bodaghi   +37 more
wiley   +1 more source

Properties of Sustainable High Performance Lightweight Aggregate Concrete Reinforced with Fibers

Diyala Journal of Engineering Sciences, 2017
In this investigation, sustainable High Performance Lightweight Aggregate Concrete (HPLWAC) containing recycled crushed clay brick from construction and demolition waste as coarse lightweight aggregate (LWA) and reinforced with mono fiber, double and ...
Wasan Ismail Khalil
doaj   +1 more source

VAE+DDPG: An Attention‐Enhanced Variational Autoencoder for Deep Reinforcement Learning‐Based Autonomous Navigation in Low‐Light Environments

Advanced Intelligent Systems, EarlyView.
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee, Chanhong Hwang, Hyunseok Kang, Yechan Park, Hangwoo Jin, Tuan Anh Nguyen, Eunmi Choi, Dugki Min   +7 more
wiley   +1 more source

Technobiological Pathways for High‐CO₂ Capture Using Micro‐/Macroalgae: Genetic Engineering, Process Automation, and Value‐Added Bioproducts

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Greenhouse gas (GHG) emissions have emerged as one of the most critical drivers of climate change; this is primarily due to high concentrations and long atmospheric life of carbon dioxide (CO2). For a significant amount of time, various biological processes such as microalgal cultivation, cyanobacterial systems, photosynthetic microorganisms ...
Sadhana Semwal, Harish Chandra Joshi
wiley   +1 more source

Numerical Simulation of Aseismatic Reinforced Concrete Frame Structure with Fiber Reinforced Plastics

Chemical Engineering Transactions, 2018
Fiber reinforced plastic reinforced concrete structure has been developed rapidly since the late 1990s in China. The optimization of the reinforce method has achieved a lot of research achievements.
Xinliang Zheng
doaj   +1 more source

The evaluation of the content of fibers in steel fiber reinforced structures and image analysis

Journal of Civil Engineering and Management, 2018
The distribution of fiber orientation is an important factor in determining the mechanical properties of fiber-reinforced concrete. This study proposes a new image analysis technique for improving the evaluation accuracy of fiber orientation distribution
Marek Ďubek, Peter Makýš, Silvia Ďubek, Marek Petro   +3 more
doaj   +1 more source

The Restraint Mechanism of High-Strength Rectangular Spiral Stirrup Confined Fiber Reinforced Concrete

Buildings
To reveal the confinement mechanism of high-strength rectangular spiral stirrups (HRSSs) on fiber-reinforced concrete, this study designed and conducted axial compression tests on 20 HRSS-confined fiber-reinforced concrete columns. The effects of stirrup
Pengyu Fan, Huajing Zhao, Weitong Liu
doaj   +1 more source

COMPARISON OF GLASS FIBER REINFORCED CONCRETE & GEOPOLYMER CONCRETE WITH GLASS FIBER REINFORCEMENT

International Journal of Research in Engineering and Technology, 2014
In the world most commonly used as well as durable material is concrete. In the field of concrete tech nology, glass fiber reinforced concrete (GFRC) is the recently introduc ed material. GFRC has many advantages such as light weight material, steel reinforcement corrosion free and structural deterio ration free.
openaire   +1 more source