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Machine learning to explore high-entropy alloys with desired enthalpy for room-temperature hydrogen storage: Prediction of density functional theory and …
Safe and high-density storage of hydrogen, for a clean-fuel economy, can be realized by
hydride-forming materials, but these materials should be able to store hydrogen at room …
hydride-forming materials, but these materials should be able to store hydrogen at room …
A study on friction induced tribological characteristics of steel 316 L against 100 cr6 alloy under different lubricating conditions with machine learning model
The material steadily wears away from touching surfaces when two solid entities are
constantly moving against one other. When more parameters and extreme materials are …
constantly moving against one other. When more parameters and extreme materials are …
Synthesis of cemented paste backfill by reutilizing multiple industrial waste residues and ultrafine tailings: Strength, microstructure, and GA-GPR prediction modeling
Q Li, B Wang, L Yang, H Zhou, M Kang, R Li, X Shu - Powder Technology, 2024 - Elsevier
Industrial waste residues are increasingly reutilized in the preparation of cemented paste
backfill for reducing the cost of mine filling. Therefore, to promote the utilization of the bulk …
backfill for reducing the cost of mine filling. Therefore, to promote the utilization of the bulk …
Improving wheat leaf nitrogen concentration (LNC) estimation across multiple growth stages using feature combination indices (FCIs) from UAV multispectral imagery
X Su, Y Nian, H Yue, Y Zhu, J Li, W Wang, Y Sheng… - Agronomy, 2024 - mdpi.com
Leaf nitrogen concentration (LNC) is a primary indicator of crop nitrogen status, closely
related to the growth and development dynamics of crops. Accurate and efficient monitoring …
related to the growth and development dynamics of crops. Accurate and efficient monitoring …
High-resolution forest age map** based on forest height maps derived from GEDI and ICESat-2 space-borne lidar data
X Lin, R Shang, JM Chen, G Zhao, X Zhang… - Agricultural and Forest …, 2023 - Elsevier
Forest age is a key parameter for estimating forest growth and carbon uptake and for forest
management. Remote sensing provides indirect but useful information for map** forest …
management. Remote sensing provides indirect but useful information for map** forest …
Machine learning-based approaches for predicting the dynamic response of RC slabs under blast loads
C Zhao, Y Zhu, Z Zhou - Engineering Structures, 2022 - Elsevier
Reinforced concrete (RC) slabs as the primary force member in the engineering structure is
often subjected to the threat of terrorist attacks or industrial gas explosions. Therefore, the …
often subjected to the threat of terrorist attacks or industrial gas explosions. Therefore, the …
Improving prediction of groundwater quality in situations of limited monitoring data based on virtual sample generation and Gaussian process regression
J Zhang, C **ao, W Yang, X Liang, L Zhang, X Wang… - Water Research, 2024 - Elsevier
The increasing pollution of aquifers by human activities over recent decades poses a threat
to drinking water safety. While Gaussian Process Regression (GPR) is a robust tool for …
to drinking water safety. While Gaussian Process Regression (GPR) is a robust tool for …
Multi-cell sensorless internal temperature estimation based on electrochemical impedance spectroscopy with Gaussian process regression for lithium-ion batteries …
Recently, fire incidents due to electrical vehicle (EV) lithium-ion battery (LIB)-based energy
storages have been increasingly occurring. Preemptive diagnosis of the thermal runaway is …
storages have been increasingly occurring. Preemptive diagnosis of the thermal runaway is …
Machine learning-based rainfall forecasting with multiple non-linear feature selection algorithms
The present research examined the potential of two important feature selection methods,
Bayesian Networks (BN) and Recursive Feature Elimination (RFE), in identifying the …
Bayesian Networks (BN) and Recursive Feature Elimination (RFE), in identifying the …
Optimization of thermal storage performance of cascaded multi-PCMs and carbon foam energy storage system based on GPR-PSO algorithm
X Yang, Y Li, Y Ma, J Cui, J **e - Journal of Energy Storage, 2024 - Elsevier
The study is focused on the heat transfer enhancement method for a latent heat thermal
energy storage (LHTES) system with the three-stage axially cascaded multi-phase change …
energy storage (LHTES) system with the three-stage axially cascaded multi-phase change …