Results 171 to 180 of about 2,129,467 (285)

Micromechanical Properties and Deformation Behavior of the Co₇₀Fe₃Mn_3.5Mo_1.5Si₁₁B₁₁ Amorphous Alloy. [PDF]

Materials (Basel)
Pashechko M, Bilyk R, Borc J, Tisov O, Sembratovych N, Kindrachuk M.   +5 more
europepmc   +1 more source

Ionomer‐Free Iridium Anodes With Low Loading for Zero‐Gap Electrolyzers via Direct Atomic Layer Deposition

Advanced Energy Materials, EarlyView.
Iridium‐based anode catalyst layers for proton exchange membrane water electrolysis were fabricated via atomic layer deposition (ALD). Using custom‐made microporous substrates and thermal ALD, current densities of up to 2.5 A·cm−2${\rm A}\cdot{\rm cm}^{-2}$ at 0.21 mg·cm−2$\text{mg}\cdot {\text{cm}}^{-2}$ Ir loading were achieved.
Peter M. Piechulla, Iris Blommestein, Anne van Gerven, Henri Pelzer, Ezgi Demiröz, Jonas Englhard, Mingliang Chen, Julien Bachmann, J. Ruud van Ommen   +8 more
wiley   +1 more source

1D CNN-LSTM Based on Quality Classification in Ultrasonic Metal Welding of Multi-Layered Foil Stacks. [PDF]

Materials (Basel)
Go B, Kim K, Bang H.
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

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

i-Rheo-Indent: Broadband rheological characterisation of soft solids by macroscale indentation. [PDF]

Rheol Acta
Fernandez AJ, Skopalik S, Smart C, Gibson GM, Escobar MDPN, Tassieri M.   +5 more
europepmc   +1 more source

A Two‐Stage Characterization Pipeline and Open‐Source Framework for Reproducible Tactile Sensing

Advanced Intelligent Systems, EarlyView.
The same soft tactile sensor returns different numbers when embodied in different robots. This is an Embodiment Gap that no shared framework currently captures transparently. A two‐stage characterization pipeline, paired with a FAIR open‐source digital datasheet, decouples intrinsic sensor behavior from embodiment effects and condenses cross‐laboratory
Matteo Lo Preti, Weng Buxiu, Petr Trunin, Muhammad Sunny Nazeer, Lucia Beccai, Perla Maiolino, Cecilia Laschi   +6 more
wiley   +1 more source

Development and Mechanical Characterization of Novel Gelatin-Fish Oil Composite Hydrogel for 3D Bioprinting. [PDF]

Biomimetics (Basel)
Milosevic D, Brankovic M, Virijevic K, Kotorcevic N, Milojevic D, Mihailovic N, Grujovic N, Zivic F.   +7 more
europepmc   +1 more source

Biomimetic 3D Tactile Sensor System With Neuromorphic Encoding for Fascicle‐Level Feedback

Advanced Intelligent Systems, EarlyView.
A 3D biomimetic tactile sensor system converts skin‐like mechanical interactions into neural stimulation‐ready spike patterns. Embedded slow‐ and fast‐adapting sensors distinguish sustained pressure from transient touch, while neuromorphic encoding preserves their temporal signatures.
Minseok Kim, Jaeu Park, Minseok Kang, Yongwoo Kim, Sanghoon Lee   +4 more
wiley   +1 more source

Effect of the friction between a point-sharp indenter and an indented elastoplastic solid on the load and depth sensing indentation

Effect of the friction between a point-sharp indenter and an indented elastoplastic solid on the load and depth sensing indentation
identifier:oai:t2r2.star.titech.ac.jp ...
openaire   +1 more source