Estimation of water-to-cement ratio in cementitious materials using electrochemical impedance spectroscopy and artificial neural networks

Accurate prediction of concrete compressive strength based on explainable features using deep learning

(2022) Ziyue Zeng et al.   CONSTRUCTION AND BUILDING MATERIALS

Predicting concrete compressive strength using hybrid ensembling of surrogate machine learning models

(2021) Panagiotis G. Asteris et al.   CEMENT AND CONCRETE RESEARCH

On the use of electrochemical impedance spectroscopy to characterize and model the aging phenomena of lithium-ion batteries: a critical review

(2021) Pietro Iurilli et al.   JOURNAL OF POWER SOURCES

Predicting the compressive strength of concrete with fly ash admixture using machine learning algorithms

(2021) Hongwei Song et al.   CONSTRUCTION AND BUILDING MATERIALS

A state-of-the-art review on the carbonation process in cementitious materials: Fundamentals and characterization techniques

(2020) Qiwen Qiu   CONSTRUCTION AND BUILDING MATERIALS

New Approach for Investigating Diffusion Kinetics Within Capacitive Deionization Electrodes Using Electrochemical Impedance Spectroscopy

(2020) Magdalena Lenz et al.   Frontiers in Materials

Electrochemical cell design and impedance spectroscopy of cement hydration

(2020) Aldo F. Sosa Gallardo et al.   Journal of Materials Science

Machine Learning Techniques in Concrete Mix Design

(2019) Patryk Ziolkowski et al.   Materials

Machine learning-based compressive strength prediction for concrete: An adaptive boosting approach

(2019) De-Cheng Feng et al.   CONSTRUCTION AND BUILDING MATERIALS

Can the compressive strength of concrete be estimated from knowledge of the mixture proportions?: New insights from statistical analysis and machine learning methods

(2018) Benjamin A. Young et al.   CEMENT AND CONCRETE RESEARCH

An effective algorithm for hyperparameter optimization of neural networks

(2017) G. I. Diaz et al.   IBM JOURNAL OF RESEARCH AND DEVELOPMENT

Physical Interpretations of Nyquist Plots for EDLC Electrodes and Devices

(2017) Bing-Ang Mei et al.   Journal of Physical Chemistry C

Influence of the Aggregate–Cement Ratio on the Electrical and Transport Properties of Cement Mortars

(2016) Juan Lizarazo-Marriaga et al.   ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING

Application of electrochemical impedance spectroscopy (EIS) to monitor the corrosion of reinforced concrete: A new approach

(2016) D.V. Ribeiro et al.   CONSTRUCTION AND BUILDING MATERIALS

Principal component analysis: a review and recent developments

(2016) Ian T. Jolliffe et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

Ultrasonic assessment of initial compressive strength gain of cement based materials

(2015) Gregor Trtnik et al.   CEMENT AND CONCRETE RESEARCH

Electrochemical impedance measurement and modeling analysis of the carbonation behavior for cementititous materials

(2014) Bi-qin Dong et al.   CONSTRUCTION AND BUILDING MATERIALS

Probing the microstructure of cement mortars through dielectric parameters’ variation

(2008) C. Tsonos et al.   JOURNAL OF PHYSICS AND CHEMISTRY OF SOLIDS