Results 131 to 140 of about 2,733 (260)

Predicting Low-Cycle Fatigue Life Using New Energy-Based Fatigue Damage Measures. [PDF]

Materials (Basel)
Mroziński S, Piotrowski M, Egner W, Egner H.   +3 more
europepmc   +1 more source

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source

Study on elasto-plastic zoning radius and failure characteristics of layered rock with a single hole under impact loading. [PDF]

Sci Rep
Liu Y, Miao Y, Huang Y.
europepmc   +1 more source

Crater Observing Bioinspired Rolling Articulator (COBRA)

Advanced Intelligent Systems, EarlyView.
Crater Observing Bio‐inspired Rolling Articulator (COBRA) is a modular, snake‐inspired robot that addresses the mobility challenges of extraterrestrial exploration sites such as Shackleton Crater. Incorporating snake‐like gaits and tumbling locomotion, COBRA navigates both uneven surfaces and steep crater walls.
Adarsh Salagame, Henry Noyes, Eric Sihite, Arash Kalantari, Alireza Ramezani   +4 more
wiley   +1 more source

Elucidating the mechanisms by which acetyl tributyl citrate affects fracture healing: a comprehensive network toxicology study. [PDF]

BMC Pharmacol Toxicol
Chen Y, Huang C, Zhou Y, Liu Z, Tang X, Li Y, Lu C, He Q.   +7 more
europepmc   +1 more source

Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing

Advanced Intelligent Systems, EarlyView.
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian, Liuchao Jin, Qi Ge, Wei‐Hsin Liao, Andrés Díaz Lantada, Francisco Franco Martínez, Tianyu Zhang, Tao Liu, Charlie C. L. Wang, Mohammad Hossein Mosallanejad, Reza Ghanavati, Abdollah Saboori, Alejandro De Blas De Miguel, William Solórzano‐Requejo, Yi Cai, Xiangyang Dong, Huangyi Qu, Najmeh Samadiani, Guangyan Huang, Austin Downey, Yanzhou Fu, Lang Yuan, Tsz‐Kwan (Glory) Lee, Arbind Agrahari Baniya, Eisha Waseem, Abdul Rahman Sani, Abbas Z. Kouzani, Yijia Wu, Markus P. Nemitz, Masoud Shirzad, Dageon Oh, Seung Yun Nam, Amedeo Franco Bonatti, Irene Chiesa, Gabriele Maria Fortunato, Giovanni Vozzi, Carmelo De Maria, Mahdi Bodaghi   +37 more
wiley   +1 more source

Material Characterization and Stress-State-Dependent Failure Criteria of AASHTO M180 Guardrail Steel: Experimental and Numerical Investigation. [PDF]

Materials (Basel)
Alomari QA, Yosef TY, Bielenberg RW, Faller RK, Negahban M, Zhang Z, Li W, Humphrey BM.   +7 more
europepmc   +1 more source

A Standardized Framework for Elastomer Characterization in Soft Robotics

Advanced Intelligent Systems, EarlyView.
A unified framework addresses inconsistent elastomer property reporting which limits reproducibility and standardization in soft robotics. Systematic testing of ten elastomers (thermosetting, thermoplastic, and a covalent adaptable network) provides quasielastic mechanical properties, viscoelastic parameters, thermal stability, and processing ...
Ellen Roels, Aleix Costa Cornellà, Joost Brancart   +2 more
wiley   +1 more source

Numerical Simulation of Failure Modes of Solid Propellants with Internal Cavities Under Various Loading Conditions. [PDF]

Polymers (Basel)
Liu K, Yang Q, Cao L, Wang J, Cao P.
europepmc   +1 more source

Review of Memristors for In‐Memory Computing and Spiking Neural Networks

Advanced Intelligent Systems, EarlyView.
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari, Teresa Serrano‐Gotarredona, Bernabé Linares‐Barranco   +2 more
wiley   +1 more source