Results 101 to 110 of about 6,126,180 (306)

Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges

Advanced Robotics Research, EarlyView.
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder, Jelizaveta Konstantinova, Graham Deacon, Kaspar Althoefer   +3 more
wiley   +1 more source

Probabilistic Fatigue Crack Growth Prediction for Pipelines with Initial Flaws

Buildings
This paper presents a probabilistic method to predict fatigue crack growth for surface flaws in pipelines using a particle filtering method based on Bayes theorem.
Youngjin Choi, Seung-Jung Lee
doaj   +1 more source

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

Advanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan, Hengheng Zhao, Haotian Wang, Zhanjie Liu, Qian Li, Weifeng Zhang, Qingsong Zhao, Liqun Zhang, Jun Liu   +8 more
wiley   +1 more source

Polymorphic Superparaelectric Engineering Boosting Energy Storage Capacity in BaTiO3‐Based Ceramics

Advanced Science, EarlyView.
Herein, Ca2+ incorporation promotes the coexistence of CaTiO3‐/BaTiO3‐derived paraferroelectric states, stabilizing cubic‐orthorhombic‐tetragonal polymorphic superparaelectric phases. This minimizes polarization energy barriers, facilitating full polarization saturation without compromising efficiency.
Pan Liu, Xiang Ren, Jin Qian, Haihua Huang, Peng Li, Peng Fu, Jigong Hao, Huarong Zeng, Wei Li, Zhenxiang Cheng   +9 more
wiley   +1 more source

Ferroelectric Devices for In‐Memory and In‐Sensor Computing

Advanced Science, EarlyView.
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang, Ronghuan Xie, Qiang Cao, Shishen Yan, Xiaolin Wang, Limei Zheng   +5 more
wiley   +1 more source

The applicability of the Manson-Coffin law and Miner's law to extremely low cycle fatigue.

TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series A, 1987
Attention has been focussed on the characteristics of the fatigue life of annealed low carbon steel in the extremely low cycle fatigue regime. In this regime, a transition of the fracture mode occurs from the surface to internal cracking with an increase in the plastic strain range. Results show that in this regime the final fracture occurs at a strain
SHIMADA, Katsunori, KOMOTORI, Jun, SHIMIZU, Masao   +2 more
openaire   +2 more sources

Multi-timescale analysis of fatigue crack growth on interfaces via cohesive-zone models [PDF]

, 2014
The paper describes a new non-linear finite-element formulation to analyse fatigue debonding or delamination, along predefined interfaces, which is multi-scale in time. At the small timescale level, cyclic loading and the related oscillating response are
Giulio Alfano, Alfano, G
core   +1 more source

Advances and Perspectives in Graphene‐Based Quantum Dots Enabled Neuromorphic Devices

Advanced Science, EarlyView.
Graphene‐based QDs are zero‐dimensional carbon nanomaterials with pronounced quantum confinement and tunable electronic structures. Herein, we summarize their synthesis strategies and functionalization methods, and highlight their functional roles and operating mechanisms in devices, as well as recent advances in neuromorphic electronics. We anticipate
Yulin Zhen, Wei Zeng, Zherui Zhao, JiYu Zhao, Ziyan Huang, Zhuo Chen, Kui Zhou, Guanglong Ding, Su‐Ting Han, Ye Zhou   +9 more
wiley   +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

Study of Fatigue Crack Propagation Behavior of Film Materials : Fatigue Testing Method and Factors Controlling Fatigue Crack Propagation Rates

, 1993
A new fatigue testing method was proposed by which fatigue crack propagation could be caused in a film attached to elliptical and circular holes on a base plate subjected to push-pull cyclic loads.
Torii, Tashiyuki, Tanida, Mutsumi, マツバ, アキラ, ホンダ, カズオ, Matsuba, Akira, 鳥居, 太始之, タニダ, ムツミ, 本田, 和男, トリイ, タシユキ, Honda, Kazuo, 谷田, 睦, 松葉, 朗   +11 more
core   +1 more source