Results 211 to 220 of about 10,854 (298)

FIRE‐GNN: Force‐Informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties

Advanced Intelligent Discovery, EarlyView.
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu, Claire Schlesinger, Karan Mudaliar, Jordan Leung, Robin Walters, Peter Schindler   +5 more
wiley   +1 more source

Research on Comparative Marine Atmospheric Corrosion Behavior of AZ31 Magnesium Alloy in South China Sea. [PDF]

Materials (Basel)
Zhang T, Wu S, Liu H, Yang L, Chen T, Wang X, Li Y.   +6 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

Corrosion-Modulating Effect of Pharmaceutical Agents in a Hybrid Coating System on Pure Magnesium. [PDF]

J Funct Biomater
Moreno L, Belarra-Rodriguez A, Mohedano M, Castro L, Chevalier M, Arrabal R, Matykina E.   +6 more
europepmc   +1 more source

Enabling Metal‐Based Soft Robotics Through Investment Casting

Advanced Intelligent Systems, EarlyView.
Vacuum investment casting enables manufacturing of compliant soft robotic structures out of AA7075 high‐strength aluminum alloy. Additively manufactured patterns are converted into metal soft robotic structures addressing long lasting challenges like durability and nonlinearity of elastomer‐based soft robotics.
Felix Pancheri, Tim C. Lueth, Yilun Sun
wiley   +1 more source

Depolymerization and Reuse of Polycarbonates: Emerging Classes, Mechanisms and Challenges

Angewandte Chemie, EarlyView.
This review collects the latest developments in the area of chemical and catalytic polycarbonate recycling strategies and includes the controlled degradation of similar types of macromolecules. Apart from the main strategies for deconstruction, the key mechanistic features of these depolymerization processes are also discussed together with the ...
Davide Rigo, David H. Lamparelli, Antonio Buonerba, Carmine Capacchione, Arjan W. Kleij   +4 more
wiley   +2 more sources

An overview on emerging green organic corrosion inhibitors: sustainable solution for oil and gas industrial applications. [PDF]

RSC Adv
Kumar N, Anunay P, Kumar S, Meena LK, Singh D.   +4 more
europepmc   +1 more source

Deep Learning Approaches for Classifying Crack States With Overload and Predicting Fatigue Parameters in a Titanium Alloy

Advanced Intelligent Systems, EarlyView.
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi, Suman Timilsina, Youn Woo Shin, Yong Nam Kwon, Kee‐Sun Sohn, Ji Sik Kim   +5 more
wiley   +1 more source

Ammonia‐Induced Metal–Organic Framework Membrane Pore Tuning for Hydrogen Separation

Angewandte Chemie, EarlyView.
Impurity‐enabled pore tuning is achieved by harnessing trace ammonia, typically regarded as a harmful contaminant, as a reactive agent to modulate the surface structure and flexibility of ZIF‐8 membranes. Ammonia exposure induces partial surface amorphization and local rigidification, shifting the transport mechanism from a flexible to an intrinsic gas‐
Eunji Choi, Seungho Yu, Taehwan Kim, Yunseong Ji, Min Hye Jeong, Minsu Kim, Miso Park, Kiwon Eum, Ki Chul Kim, Dae Woo Kim   +9 more
wiley   +2 more sources

Bio-Tribocorrosion of Titanium Dental Implants in the Oral Environment: A Narrative Review. [PDF]

Cureus
Hariprasad A, Menon SS, Kurumathur Vasudevan A, Rajan Peter M, Balakrishnan B, Suresh R.   +5 more
europepmc   +1 more source