High cycle fatigue S-N curve prediction of steels based on transfer learning guided long short term memory network

Fatigue life prediction of aluminum alloy via knowledge-based machine learning

(2022) Zhengheng Lian et al.   INTERNATIONAL JOURNAL OF FATIGUE

Cumulative Damage and Life Prediction Models for High-Cycle Fatigue of Metals: A Review

(2021) Kris Hectors et al.   Metals

Deep long short-term memory neural network for accelerated elastoplastic analysis of heterogeneous materials: An integrated data-driven surrogate approach

(2021) Qiang Chen et al.   COMPOSITE STRUCTURES

State of charge prediction framework for lithium-ion batteries incorporating long short-term memory network and transfer learning

(2021) Yu Liu et al.   Journal of Energy Storage

A deep learning based life prediction method for components under creep, fatigue and creep-fatigue conditions

(2021) Xiao-Cheng Zhang et al.   INTERNATIONAL JOURNAL OF FATIGUE

A novel method of multiaxial fatigue life prediction based on deep learning

(2021) Jingye Yang et al.   INTERNATIONAL JOURNAL OF FATIGUE

Implementation of modified Wheeler model in peridynamic fatigue model to predict effects of overload and underload on fatigue crack growth rate

(2021) Cong Tien Nguyen et al.   THEORETICAL AND APPLIED FRACTURE MECHANICS

Forecasting of Coalbed Methane Daily Production Based on T-LSTM Neural Networks

(2020) Xijie Xu et al.   Symmetry-Basel

Fatigue life prediction of metallic materials considering mean stress effects by means of an artificial neural network

(2020) Joelton Fonseca Barbosa et al.   INTERNATIONAL JOURNAL OF FATIGUE

Integrating data mining and machine learning to discover high-strength ductile titanium alloys

(2020) Chengxiong Zou et al.   ACTA MATERIALIA

Machine learning based fatigue life prediction with effects of additive manufacturing process parameters for printed SS 316L

(2020) Zhixin Zhan et al.   INTERNATIONAL JOURNAL OF FATIGUE

Predicting Materials Properties with Little Data Using Shotgun Transfer Learning

(2019) Hironao Yamada et al.   ACS Central Science

Physical metallurgy-guided machine learning and artificial intelligent design of ultrahigh-strength stainless steel

(2019) Chunguang Shen et al.   ACTA MATERIALIA

High cycle fatigue life prediction of laser additive manufactured stainless steel: A machine learning approach

(2019) Meng Zhang et al.   INTERNATIONAL JOURNAL OF FATIGUE

Design of Comprehensive Mechanical Properties by machine learning and high-throughput optimization algorithm in RAFM steels

(2019) Chenchong Wang et al.   Nuclear Engineering and Technology

Enhancing materials property prediction by leveraging computational and experimental data using deep transfer learning

(2019) Dipendra Jha et al.   Nature Communications

Reliable and explainable machine-learning methods for accelerated material discovery

(2019) Bhavya Kailkhura et al.   npj Computational Materials

Transfer Learning With Long Short-Term Memory Network for State-of-Health Prediction of Lithium-Ion Batteries

(2019) Yandan Tan et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Long Short-Term Memory Networks for Accurate State-of-Charge Estimation of Li-ion Batteries

(2018) Ephrem Chemali et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Long short-term memory recurrent neural network for remaining useful life prediction of lithium-ion batteries

(2018) Yongzhi Zhang et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

An online tool for predicting fatigue strength of steel alloys based on ensemble data mining

(2018) Ankit Agrawal et al.   INTERNATIONAL JOURNAL OF FATIGUE

Using machine learning and a data-driven approach to identify the small fatigue crack driving force in polycrystalline materials

(2018) Andrea Rovinelli et al.   npj Computational Materials

Prediction of Fatigue Strength in Steels by Linear Regression and Neural Network

(2018) Takayuki Shiraiwa et al.   MATERIALS TRANSACTIONS

On Tanaka-Mura's fatigue crack nucleation model and validation

(2017) Xijia Wu   FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES

A Review on Fatigue Life Prediction Methods for Metals

(2016) E. Santecchia et al.   Advances in Materials Science and Engineering

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING