Results 201 to 210 of about 52,383 (316)

Fuzzy-Modulus-Based Layered Elastic Analysis of Asphalt Pavements for Enhanced Fatigue Life Prediction. [PDF]

Materials (Basel)
Zbiciak A, Volchok D, Kozyra Z, Michalczyk R, Al Garssi N.   +4 more
europepmc   +1 more source

Experiment and Theoretical Investigation on Fatigue Life Prediction of Fracturing Pumpheads Based on a Novel Stress-Field Intensity Approach. [PDF]

Materials (Basel), 2022
Zeng Y, Li M, Wu H, Li N, Zhou Y.
europepmc   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Fatigue Life Prediction of CFRP-FBG Sensor-Reinforced RC Beams Enabled by LSTM-Based Deep Learning. [PDF]

Polymers (Basel)
Jia M, Zhou C, Pei X, Xu Z, Xu W, Wan Z.
europepmc   +1 more source

Aptamer‐Directed Porous DNA Nanocomposite Hydrogel for Active Pulp Preservation: Immunomodulation, Stem Cell Recruitment and Reparative Dentinogenesis

Advanced Science, EarlyView.
This study presents an injectable DNA‐based porous hydrogel integrating catechol motifs and targeting aptamers for pulpitis management. Upon in situ crosslinking, the scaffold actively recruits endogenous dental pulp stem cells, restores redox homeostasis, and modulates immune responses.
Luhui Cai, Huan Yu, Zihan Ni, Kan Chen, I‐Chen Tsai, Zeyu Bao, Shuo Sun, Weichang Li, Yunhua Chen, Qiong Xu   +9 more
wiley   +1 more source

High-Cycle Fatigue Life Prediction of Additive Manufacturing Inconel 718 Alloy via Machine Learning. [PDF]

Materials (Basel)
Song Z, Peng J, Zhu L, Deng C, Zhao Y, Guo Q, Zhu A.   +6 more
europepmc   +1 more source

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

Advanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung, Gwang Ya Kim, Sejin Kim, Hyunjong Seo, Se Gi Lee, Sang Min Won, Dongjoon Rhee, Joohoon Kang   +7 more
wiley   +1 more source

Corrosion fatigue life prediction of multiple austenitic stainless steel grades in high-temperature, high-pressure water environments using a GA-optimized neural network. [PDF]

Sci Rep
Bhardwaj HK, Shukla M.
europepmc   +1 more source

Large Language Model‐Informed Dual‐Track AI Framework for the Synergistic Design of Crack‐Free and High‐Strength Superalloys

Advanced Science, EarlyView.
This paper illustrates a knowledge‐augmented dual‐track AI framework for advanced superalloy design. First, Large Language Models translate metallurgical heuristics into explicit rules to rapidly prune a vast compositional search space. Subsequently, LLM‐distilled priors safely guide a reinforcement learning agent during autonomous process optimization,
Jian Yao, Junkang Wu, Jie Su, Fuzhu Wang, Zi Wang, Li Wang, Liming Tan, Lan Huang, Feng Liu, Yong Liu   +9 more
wiley   +1 more source

A deep learning dataset for metal multiaxial fatigue life prediction. [PDF]

Sci Data
Chen S, Bai Y, Zhou X, Yang A.
europepmc   +1 more source