Results 101 to 110 of about 214,409 (272)

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 more
wiley   +1 more source

Water Permeates and Plasticizes Amorphous Carbon Dots: Unraveling the Inner Accessibility of the Nanoparticles by Glass Transition Studies

Advanced Materials, EarlyView.
The water permeability of amorphous carbon dots (CDs) is demonstrated by investigating their plasticization. Novel polyamide‐based and amorphous nanoparticles are synthesized by controlling their inner packing density. Water plasticization is evidenced by the decrease of the CDs glass transition temperature with increasing the hydration degree.
Elisa Sturabotti, Valerio Di Lisio, Lucia Cardo, Alessandro Camilli, Estela Moretón Alfonsín, Daniele Cangialosi, Amaia Iturrospe Ibarra, Arantxa Arbe, Maurizio Prato   +8 more
wiley   +1 more source

Low Density Lattice Codes

, 2007
Low density lattice codes (LDLC) are novel lattice codes that can be decoded efficiently and approach the capacity of the additive white Gaussian noise (AWGN) channel.
Meir Feder, Naftali Sommer, Ofir Shalvi, Senior Member   +3 more
core   +3 more sources

All‐Optical Reconfigurable Physical Unclonable Function for Sustainable Security

Advanced Materials, EarlyView.
An all‐optical reconfigurable physical unclonable function (PUF) is demonstrated using plasmonic coupling–induced sintering of optically trapped gold nanoparticles, where Brownian motion serves as a robust entropy source. The resulting optical PUF exhibits high encoding density, strong resistance to modeling attacks, and practical authentication ...
Jang‐Kyun Kwak, Changgyun Moon, Hyun‐Bin Yu, Sunkook Kim, Dong‐Hwan Kim   +4 more
wiley   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Undercoordinated Molybdenum Catalysts Enable Ultrafast Quasi‐Solid Sulfur Chemistry in Sodium‐Sulfur Batteries

Advanced Materials, EarlyView.
An unsaturated coordination chemistry strategy activates a quasi‐solid‐state redox pathway by strengthening NaPSs adsorption and accelerating redox conversion kinetics, thereby overcoming the kinetic bottlenecks that limit high‐rate performance. In situ transmission electron microscopy, combined with newly developed Na‐ion diffusion descriptors ...
Mingyue Wang, Yubing Hu, Rui Li, Xinran Gao, Ziwei Tong, Qian Yao, Yameng Fan, Bernt Johannessen, Shixue Dou, Nana Wang, Langli Luo, Guoxiu Wang, Zhongchao Bai   +12 more
wiley   +1 more source

Provably Accurate Double-Sparse Coding

, 2017
Sparse coding is a crucial subroutine in algorithms for various signal processing, deep learning, and other machine learning applications. The central goal is to learn an overcomplete dictionary that can sparsely represent a given input dataset. However, a key challenge is that storage, transmission, and processing of the learned dictionary can be ...
Nguyen, Thanh V., Wong, Raymond K. W., Hegde, Chinmay   +2 more
openaire   +3 more sources

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source

Two‐Photon Polymerized Microvascular Environments for Multicellular Modeling of the Blood–Brain Tumor Barrier

Advanced Materials Technologies, EarlyView.
Modeling the blood–brain tumor barrier is challenging due to complex interactions between brain microvasculature and glioma cells. We present two‐photon polymerized 3D micro‐porous capillary‐like structures that support endothelial alignment, cytoskeletal organization, and pericyte‐endothelial‐glioma tri‐cultures.
Nastaran Barin, Sayba Z. Chowdhury, Maurice de Wit, Rania Head, Kiki Bals, Erwin Brosens, Marvin M. van Luijn, Hayri E. Balcioglu, Angelo Accardo, Pim J. French   +9 more
wiley   +1 more source

NoGOA: predicting noisy GO annotations using evidences and sparse representation

BMC Bioinformatics, 2017
Background Gene Ontology (GO) is a community effort to represent functional features of gene products. GO annotations (GOA) provide functional associations between GO terms and gene products.
Guoxian Yu, Chang Lu, Jun Wang
doaj   +1 more source