Results 151 to 160 of about 112,252 (298)

Atomic Scale Ordering of Liquid Water at a Dynamic Pt(111) Interface Under Electrochemical Conditions Imaged by Electron Holography

Advanced Energy Materials, EarlyView.
High resolution electron holography was used to image the projected electric potential of ordered water layers at the interface to a platinum (111) electrode. The observed reorganization of the water layers upon applying external potentials suggests that the electric potential drop of the electric double layer is mainly carried by the polarization ...
Jonas Lindner, Ulrich Ross, Tobias Meyer, Sung Sakong, Axel Gross, Michael Seibt, Christian Jooss   +6 more
wiley   +1 more source

Copper Contact for Perovskite Solar Cells: Properties, Interfaces, and Scalable Integration

Advanced Energy and Sustainability Research, EarlyView.
Copper electrodes, as low‐cost, scalable contacts for perovskite solar cells, offer several advantages over precious metals such as Au and Ag, including performance, cost, deposition methods, and interfacial engineering. Copper (Cu) electrodes are increasingly considered practical, sustainable alternatives to noble‐metal contacts in perovskite solar ...
Shuwei Cao, Jianyong Han, Xiaohu Zhao, Yaming Yu, Peng Gao   +4 more
wiley   +1 more source

Possibilistic clustering for shape recognition [PDF]

Clustering methods have been used extensively in computer vision and pattern recognition. Fuzzy clustering has been shown to be advantageous over crisp (or traditional) clustering in that total commitment of a vector to a given class is not required at ...
Keller, James M., Krishnapuram, Raghu
core   +1 more source

Climate Change Mitigation in the Dairy Sector: Uncovering Heterogeneity Through Eco‐Efficiency Clubs

Agribusiness, EarlyView.
ABSTRACT Combining climate change goals with economic targets is crucial for the dairy sector, which is a significant contributor to agricultural greenhouse gas (GHG) emissions worldwide. In this paper, we assess economic and climate change implications of dairy production with panel data of Irish dairy farms from 2013 to 2021.
Doris Läpple, Christian Stetter, Cathal Buckley   +2 more
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

Advanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz, Zakarya Al‐Shaebi, Omer Aydin   +2 more
wiley   +1 more source

Deep Learning Prediction of Surface Roughness in Multi‐Stage Microneedle Fabrication: A Long Short‐Term Memory‐Recurrent Neural Network Approach

Advanced Intelligent Discovery, EarlyView.
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour, Sara Soltanabadi Farshi, Tuanna Ozcan, Amir Mohammad Ketabchi, Alper Kiraz, Savas Tasoglu   +5 more
wiley   +1 more source

Automatic identification of compressions and ventilations during CPR based on the fuzzy c-means clustering and deep belief network. [PDF]

Ann Transl Med, 2020
Zhang HH, Yang L, Wei AH, Duan AW, Li YM, Zhao P, Li YQ.   +6 more
europepmc   +1 more source

Hard Clustering by Fuzzy c-Means

Journal of Japan Society for Fuzzy Theory and Systems, 1998
Tomohiro OHTA, Muneki NEMOTO, Hidetomo ICHIHASHI, Tetsuya MIYOSHI   +3 more
openaire   +2 more sources

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source