Results 111 to 120 of about 3,180,850 (297)

Microstructure and properties of copper/aluminum dissimilar joints by friction stir lap welding

Hanjie xuebao
To achieve high-quality welding of Cu/Al dissimilar metals, friction stir lap welding was performed with copper placed on the upper layer and aluminum on the lower layer, and the microstructure and mechanical properties of the Cu/Al dissimilar metal weld
Li LIU, Chunlin DONG, Wanghui XU, Ruizhe LIU, Xing XU, Ting YU, Yongxian HUANG   +6 more
doaj   +1 more source

Chronic Disease Monitoring Using Advanced Compliant Materials for Bioelectronics

Advanced Electronic Materials, EarlyView.
Compliant bioelectronic systems enable continuous monitoring of chronic disease through soft, stretchable materials and tissue‐conformal designs that support stable electrophysiological, mechanical, and biochemical sensing. Integration of diverse sensing modalities with thoughtful material selection, device architectures, and advanced fabrication ...
Han Kim, Mabel Bartlett, Liyang Wang, Karl Bates, Mengdi He, Myungbo Kim, Carmel Majidi, Tzahi Cohen‐Karni   +7 more
wiley   +1 more source

On the Spontaneous Build-Up of Voltage between Dissimilar Metals Under High Relative Humidity Conditions. [PDF]

Sci Rep, 2020
Lax JY, Price C, Saaroni H.
europepmc   +1 more source

Enhanced interface formation in friction stir welding of dissimilar Ti-Al metals by interlayer design

Journal of Materials Research and Technology
The interfacial reaction between Ti and Al is a primary cause of the formation of brittle intermetallic compounds. The formation of brittle compounds on Ti-Al interface leads to the significant decrease of properties in friction stir welding of ...
Zelong Yu, Huainian Xing, Hui Wang, Zhao Zhang   +3 more
doaj   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Complex Iridium Oxides Converge In Structure And Reactivity During Acidic Oxygen Evolution Electrocatalysis

Advanced Energy Materials, EarlyView.
Ir‐based double perovskites restructure during acidic oxygen evolution electrocatalysis through dissolution of non‐Ir cations and convergence toward IrOx active‐site motifs with similar structure and intrinsic activity across compositions. The identity of the dissolving cations controls dissolution and surface reconstruction kinetics, clarifying how ...
Harrison H. Lippie, Xun Zhan, Kevin C. Matthews, Arya M. Balasubramanian, Jamie H. Warner, Joaquin Resasco   +5 more
wiley   +1 more source

Universally Accurate or Specifically Inadequate? Stress‐Testing General Purpose Machine Learning Interatomic Potentials

Advanced Intelligent Discovery, EarlyView.
We investigate MACE‐MP‐0 and M3GNet, two general‐purpose machine learning potentials, in materials discovery and find that both generally yield reliable predictions. At the same time, both potentials show a bias towards overstabilizing high energy metastable states. We deduce a metric to quantify when these potentials are safe to use.
Konstantin S. Jakob, Karsten Reuter, Johannes T. Margraf   +2 more
wiley   +1 more source

Investigating parametric effects during TIG welding of dissimilar metals

Mehran University Research Journal of Engineering and Technology
This paper explores the optimization of Tungsten-Inert-Gas (TIG) welding process parameters for creating a hybrid structure of Aluminium 6061 and Stainless Steel 304 using a copper filler rod (ER-Cu).
Abdullah Abdullah, Shahid Mehmood, Rana Atta Ur Rahman   +2 more
doaj   +1 more source

A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation

Advanced Intelligent Discovery, EarlyView.
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley   +1 more source

Automated Alignment Powered by Computer Vision Streamlines the Two‐Photon Polymerization‐Based Micro 3D Printing of Multiscale and Multimaterial Structures

Advanced Intelligent Discovery, EarlyView.
Two‐photon polymerization enables high‐resolution microfabrication, but performing alignment when printing multiple structures is difficult. Here, we present a fast, robust, and open‐source protocol for automated alignment on Nanoscribe systems. Achieving ≈0.4 μm accuracy in under 5 s, our protocol reduces time and error in multimaterial printing. This
Daniel Maher, Valentina Mendoza Martinez, Marcin Piotr Piekarczyk, Stefan Sützl, Ada‐Ioana Bunea   +4 more
wiley   +1 more source