Balancing computational chemistry's potential with its environmental impact

O Schilter, P Schwaller, T Laino - Green Chemistry, 2024 - pubs.rsc.org
Computational chemistry techniques offer tremendous potential for accelerating the
discovery of sustainable chemical processes and reactions. However, the environmental …

Machine learning-based fatigue life prediction of lamellar titanium alloys: A microstructural perspective

Y Zhao, Y **ang, K Tang - Engineering Fracture Mechanics, 2024 - Elsevier
Fatigue life prediction based on the traditional empirical formulation in large fatigue regimes
is limited and prone to over-fitting. In this regard, we propose an integrated approach for …

Merging multi-level evidential observations for dynamic reliability assessment of hierarchical multi-state systems: A dynamic Bayesian network approach

T Huang, T **ahou, J Mi, H Chen, HZ Huang… - Reliability Engineering & …, 2024 - Elsevier
Dynamic reliability assessment has offered a new paradigm for engineered systems to
integrate multi-level observations to update the reliability measures of a specific running …

CCZM‐based fatigue analysis and reliability assessment for wind turbine blade adhesive joints considering parameter uncertainties

Z Liu, H Liu, Z Shao, J Liang… - Quality and Reliability …, 2024 - Wiley Online Library
Wind turbine blades are complex structures composed of multiple bonded components. The
fatigue performance of these adhesive joints is crucial for ensuring operational safety over …

Bayesian fusion of degradation and failure time data for reliability assessment of industrial equipment considering individual differences

GZ Fu, X Zhang, W Li, J Guo - Processes, 2024 - mdpi.com
In the field of industrial equipment reliability assessment, dependency on either degradation
or failure time data is common. However, practical applications often reveal that single-type …

[HTML][HTML] Deep Learning-Based Fatigue Strength Prediction for Ferrous Alloy

Z Huang, J Yan, J Zhang, C Han, J Peng, J Cheng… - Processes, 2024 - mdpi.com
As industrial development drives the increasing demand for steel, accurate estimation of the
material's fatigue strength has become crucial. Fatigue strength, a critical mechanical …

Prediction and analysis of mechanical properties of hot-rolled strip steel based on an interpretable machine learning

X Wang, X Li, H Yuan, N Zhou, H Wang… - Materials Today …, 2024 - Elsevier
Establishing a low-cost, high-precision predictive model for mechanical properties is crucial
for enhancing the properties of steel. Due to the complexity of the steel production process …

Comparison of machine learning algorithms on a low heat rejection diesel engine running on ternary blends

KK Pandey, N Khayum, JH Shaik - Journal of Renewable and …, 2024 - pubs.aip.org
Depletion of fossil fuels and increasing the energy demand are the critical concerns for the
sustainable growth of every country. These challenges highlight the need for a cleaner fuel …

A stacking ensemble model for predicting the flexural fatigue life of fiber-reinforced concrete

W Min, W **, Y Hoo, H Wang, X He, Y Wei… - International Journal of …, 2025 - Elsevier
The incorporation of fibers into concrete enhances its fatigue resistance while also
increasing the variability in flexural fatigue life, necessitating the development of advanced …

An intrusion detection system based on convolution neural network

Y Mo, H Li, D Wang, G Liu - PeerJ Computer Science, 2024 - peerj.com
With the rapid extensive development of the Internet, users not only enjoy great convenience
but also face numerous serious security problems. The increasing frequency of data …