Results 231 to 240 of about 2,721,499 (351)

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

Synergistic effects of cementitious nanocomposites grouts fused with epoxy coatings for restoring concrete structures. [PDF]

Sci Rep
Roopa AK, Ambale D, Hunashyal AM, Patil S.   +3 more
europepmc   +1 more source

Inverse Design of Alloys via Generative Algorithms: Optimization and Diffusion within Learned Latent Space

Advanced Intelligent Discovery, EarlyView.
This work presents a novel generative artificial intelligence (AI) framework for inverse alloy design through operations (optimization and diffusion) within learned compact latent space from variational autoencoder (VAE). The proposed work addresses challenges of limited data, nonuniqueness solutions, and high‐dimensional spaces.
Mohammad Abu‐Mualla, Ellis Crabtree, Fredrick Michael, Yayue Pan, Jida Huang   +4 more
wiley   +1 more source

Achieving Simultaneous Enhancement of Strength and Ductility in Aluminum Matrix Composites Reinforced by Dual-Scale Hybrid Reinforcement via Friction Stir Processing. [PDF]

Materials (Basel)
Wang Z, Zhu X, Wang C, Xiao X, Zhang K, Jiang C, Liu J.   +6 more
europepmc   +1 more source

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

Advanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang, Ming Dong, Rongrong Bao, Caofeng Pan   +3 more
wiley   +1 more source

Mechanical Parameters and Microstructural Evolution of FDM-Printed PLA and PLA+CF Under Variable Infill Architecture and Lubricant Exposure. [PDF]

Polymers (Basel)
Hozdić E, Hozdić E.
europepmc   +1 more source

Simulation-Based Study on the Performance of NSM-CFRP Strengthening in Prestressed Concrete T-Beams Under Seismic Loading. [PDF]

Materials (Basel)
Haryanto Y, Hu HT, Atmajayanti AT, Hsiao FP, Nugroho L, Wariyatno NG.   +5 more
europepmc   +1 more source

Multi-Dimensional Assessment of Low-Carbon Engineering Cement-Based Composites Based on Rheological, Mechanical and Sustainability Factors. [PDF]

Materials (Basel)
Jiang Z, Zhu Z, Fang D, Fu C, Li S, Jing Y.   +5 more
europepmc   +1 more source

Noninvasive Glucose Detection with Biodegradable Electrodes from Rice Starch Functionalized with a Carbon Quantum Dot/Nickel Oxide Nanocomposite

Analysis &Sensing, EarlyView.
The graphical abstract shows an eco‐friendly approach to fabricating a biodegradable electrochemical sensor. Carbon quantum dot/nickel oxide (CQD/NiO) nanocomposites are synthesized using Aloe arborescens leaf extract, which served as a natural reducing and stabilizing agent.
Nokwanda Ngema, Ryal Atson, Orlette Mkhari, Mahabubur Rahman Chowdhury   +3 more
wiley   +1 more source

Effect of Low Corrosion Levels on the Bond Performance of Lap-Splices in Reinforced Concrete Beams. [PDF]

Materials (Basel)
Gillani ASM, Yi C, Hong KJ.
europepmc   +1 more source