Results 191 to 200 of about 646,807 (289)

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

Achieving improved mechanical performance in aluminum matrix composites with rebar-reinforced concrete-inspired structures. [PDF]

Nat Commun
Shao C, Chen H, Zou Y.
europepmc   +1 more source

Robotic Environmental Monitoring Using Gelatin Hydrogels as a Biodegradable Adhesive

Advanced Intelligent Systems, EarlyView.
Gelatin‐based hydrogels are presented as a robust, biodegradable, and water‐soluble method of adhesion for robotic environmental monitoring. Factors affecting the adhesion strength are characterized, and the hydrogel is tested on different materials with varying surface roughness.
Christian Geckeler, Sophia Heinrich, Stefano Mintchev   +2 more
wiley   +1 more source

Effect of Different Sand Types and Fractions on Ballistic Resistance of High-Performance Steel Fibre-Reinforced Concrete. [PDF]

Materials (Basel)
Mára M, Fornůsek J, Hrabě T, Sovják R.   +3 more
europepmc   +1 more source

Forecasting Research Trends Using Knowledge Graphs and Large Language Models

Advanced Intelligent Systems, EarlyView.
When research trends can be anticipated, academia and industry are able to allocate limited resources more effectively and accelerate innovation. By constructing knowledge graphs using large language models, this study analyzes the time evolution of nuclear materials research concepts and suggests a data‐driven approach of forecasting research trends ...
Maciej Tomczak, Yang Jeong Park, Chia‐Wei Hsu, Payden Brown, Dario Massa, Piotr Sankowski, Ju Li, Stefanos Papanikolaou   +7 more
wiley   +1 more source

Inspired by Reinforced-Concrete Structures: High-Strength, Stable, Sustainable Reed-Based Plastics. [PDF]

Adv Sci (Weinh)
Huang Y, Li H, Li M, Li K, Zhang Y, Zhang Z, Zuo Y, Wu Y.   +7 more
europepmc   +1 more source

Seismic design in reinforced concrete

, 1988
T. Paulay
openalex   +2 more sources

Nonlinear finite element analysis for reinforced concrete haunched beams with opening [PDF]

, 2018
Abdulkhaliq A. Jaafer, Ali Wathiq Abdulghani   +1 more
openalex   +1 more source

Computational Models of Multisensory Integration with Recurrent Neural Networks: A Critical Review and Future Directions

Advanced Intelligent Systems, EarlyView.
This review outlines how recurrent neural networks model multisensory integration by capturing temporal and probabilistic features of sensory input. Key developments, challenges, and future directions are summarized, providing insights into biologically inspired AI. Multisensory integration (MSI) is a core brain function underlying perception, learning,
Ehsan Bolhasani, Seyed Hamed Aboutalebi, Yaser Merrikhi   +2 more
wiley   +1 more source

Investigating the influence of permeable formwork on the mechanical characteristics of glass fiber reinforced concrete. [PDF]

Sci Rep
Kandasamy S, Thirumuruga Poiyamozhi MVV, Thanmanaselvi M, Lakkaboyana SK, Trilaksana H, Ansari A, Pannirselvam N, Vengadesh Marshall Raman J.   +7 more
europepmc   +1 more source