Results 211 to 220 of about 664,491 (339)
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
Polymer Versus Cementitious Matrix Composites for Retrofitting Reinforced Concrete Columns-A State-of-the-Art Review. [PDF]
Elsanadedy H +4 more
europepmc +1 more source
High Precision Device for Diameter Rebar Control in Reinforced Concrete Products
S.V. Ahmedov +2 more
openalex +1 more source
In this work, the Doubao large language model (LLM) is involved in the formula derivation processes for Hubbard U determination regarding the second‐order perturbations of the chemical potential. The core ML tool is optimized for physical domain knowledge, which is not limited to parameter prediction but rather serves as an interactive physical theory ...
Mingzi Sun +8 more
wiley +1 more source
Multiphysics Phase-Field Modeling of Corrosion-Induced Degradation in Unsaturated Reinforced Concrete Structure. [PDF]
Lu A, Zhang Y.
europepmc +1 more source
Reliability Analysis of an Underground Reinforced Concrete Rectangular Water Tank
J. E. Sani, C. P. Nwadiogbu, Yisa G. L
openalex +1 more source
Crater Observing Bioinspired Rolling Articulator (COBRA)
Crater Observing Bio‐inspired Rolling Articulator (COBRA) is a modular, snake‐inspired robot that addresses the mobility challenges of extraterrestrial exploration sites such as Shackleton Crater. Incorporating snake‐like gaits and tumbling locomotion, COBRA navigates both uneven surfaces and steep crater walls.
Adarsh Salagame +4 more
wiley +1 more source
Displacement-based seismic fragility assessment of a high-rise reinforced concrete building. [PDF]
Sharma KK, Imam A, Kumar P, Olaiya BC.
europepmc +1 more source
Memory‐Reduced Convolutional Neural Network for Fast Phase Hologram Generation
This article reports a lightweight convolutional neural network framework using INT8 quantization to efficiently generate 3D computer‐generated holograms from a single 2D image. The quantized model reduces memory usage and computational cost, accelerates inference speed, and maintains high output quality, enabling real‐time holographic display on low ...
Chenliang Chang +6 more
wiley +1 more source
Effect of Low Corrosion Levels on the Bond Performance of Lap-Splices in Reinforced Concrete Beams. [PDF]
Gillani ASM, Yi C, Hong KJ.
europepmc +1 more source

