Results 121 to 130 of about 68,483 (261)

A Study to Improve the Reliability of High-Strength Concrete Strength Evaluation Using an Ultrasonic Velocity Method. [PDF]

Materials (Basel), 2023
Kim W, Lee T.
europepmc   +1 more source

Autonomous AI‐Driven Design for Skin Product Formulations

Advanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang, Yongrui Xiao, Chunlin Chen, Dimitrios Tsaoulidis, Kai Yang, Tao Chen   +5 more
wiley   +1 more source

Performance of reinforced concrete columns with reduced steel ratios strengthened by hybrid FRP/steel and high-strength concrete systems. [PDF]

Sci Rep
Ghalla M, Alkhawaldeh AA, Bahrami A, Bazuhair RW, Bin Mahfouz YM, Elsamak G.   +5 more
europepmc   +1 more source

Hydration Behavior of Tricalcium Silicate in Seawater Relevant Salt Systems: A Hybrid Study with the Aid of Machine Learning

Advanced Intelligent Discovery, EarlyView.
The hydration behavior of C3S in seawater‐relevant solutions is studied based on experiments, boundary nucleation and growth (BNG) modeling, and machine learning. The main ions included in seawater modify hydration mechanisms, with MgCl2 showing the strongest acceleration effect at the same concentration.
Yanjie Sun, Chen Zhang, Ting Zhang, Mengze Hong, Peiliang Shen, Chi Sun Poon, Gang Li   +6 more
wiley   +1 more source

Serviceability design charts for partially prestressed high-strength concrete girders. [PDF]

Sci Rep
Salem S, Abu-Krisha M, Hassan T, El-Hashimy T.   +3 more
europepmc   +1 more source

Experimental Study of Shear Performance of High-Strength Concrete Deep Beams with Longitudinal Reinforcement with Anchor Plate. [PDF]

Materials (Basel), 2023
Li SS, Jin TC, Zheng LA, Zhang GY, Li HM, Chen AJ, Xie W.   +6 more
europepmc   +1 more source

Accelerating Discovery of Organic Molecular Crystals via Materials Informatics and Autonomous Experiments

Advanced Intelligent Discovery, EarlyView.
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi, Kazuki Ishizaki, Ryo Fukasawa   +2 more
wiley   +1 more source

Evaluation of the durability and shielding properties of high-strength concrete incorporating locally available materials and carbon additives. [PDF]

Sci Rep
Othman O, Yehia S, Qaddoumi N, Elchalakani M, Malhat H, Elemam WE.   +5 more
europepmc   +1 more source

Experimental Investigation on Shear Capacity of Steel-Fiber-Reinforced High-Strength Concrete Corbels. [PDF]

Materials (Basel), 2023
Li SS, Zheng JY, Zhang JH, Li HM, Guo GQ, Chen AJ, Xie W.   +6 more
europepmc   +1 more source

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

Advanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia, Marcelo A. Dias, Parvez Alam   +2 more
wiley   +1 more source