Results 151 to 160 of about 406,491 (258)

First-Order Spatial Encoding Simulations for Improved Accuracy in the Presence of Strong B₀ and Gradient Field Variations. [PDF]

Magn Reson Med
Tibrewala R, Collins CM, Mallett M, Vom Endt A, Sodickson DK, Assländer J.   +5 more
europepmc   +1 more source

Quantum Emitters in Hexagonal Boron Nitride: Principles, Engineering and Applications

Advanced Functional Materials, EarlyView.
Quantum emitters in hexagonal boron nitride have emerged as a promising candidate for quantum information science. This review examines the fundamentals of these quantum emitters, including their level structures, defect engineering, and their possible chemical structures.
Thi Ngoc Anh Mai, Md Shakhawath Hossain, Nhat Minh Nguyen, Yongliang Chen, Chaohao Chen, Xiaoxue Xu, Quang Thang Trinh, Toan Dinh, Toan Trong Tran   +8 more
wiley   +1 more source

NanoMOF‐Based Multilevel Anti‐Counterfeiting by a Combination of Visible and Invisible Photoluminescence and Conductivity

Advanced Functional Materials, EarlyView.
This study presents novel anti‐counterfeiting tags with multilevel security features that utilize additional disguise features. They combine luminescent nanosized Ln‐MOFs with conductive polymers to multifunctional mixed‐matrix membranes and powder composites. The materials exhibit visible/NIR emission and matrix‐based conductivity even as black bodies.
Moritz Maxeiner, Ruben Maile, Murat Cuvalli, Andreas Wolf, Ayisha Komal, Robert Oestreich, Christoph Janiak, Karl Mandel, Alexander Knebel, Klaus Müller‐Buschbaum   +9 more
wiley   +1 more source

Comparison of Approximate Mathematical Formulas for Optimal Organ Absorbed Dose Estimation in CT Examination of the Abdominopelvic Region. [PDF]

Cureus
Takanashi M, Kuroda I, Sugahara S, Hoshina M, Noguchi M, Matsushita M, Masuda K.   +6 more
europepmc   +1 more source

Synchrotron Radiation for Quantum Technology

Advanced Functional Materials, EarlyView.
Materials and interfaces underpin quantum technologies, with synchrotron and FEL methods key to understanding and optimizing them. Advances span superconducting and semiconducting qubits, 2D materials, and topological systems, where strain, defects, and interfaces govern performance.
Oliver Rader, Sakura Pascarelli, Klaus Attenkofer, Anna A. Makarova, Karsten Holldack, Kai Rossnagel, Kristiaan Temst, George Kourousias, Stefano Carretta, Caterina Biscari, Helmut Dosch   +10 more
wiley   +1 more source

Image Sensor-Driven 3D Modeling of Complex Biological Surfaces for Preoperative Planning of Hemangioma Treatment. [PDF]

Sensors (Basel)
Peksa J, Kukharenko D, Perekrest A, Mamchur D.   +3 more
europepmc   +1 more source

Unlocking Ultra‐Long Cycle Stability of Li Metal Electrode by Separators Modified by Porous Red Phosphorus Nanosheets

Advanced Functional Materials, EarlyView.
Coating the standard polypropylene separator with a porous red phosphorous nanosheet greatly improves cycling performance in Li electrode cells. The phosphorus‐based surface chemistry deactivates electrolyte solvent decomposition and enhances the cleavage of F‐containing salt, resulting in an inorganic‐dominated electrolyte interphase (SEI) composition
Jiangpeng Wang, Mingzi Sun, Feng Lang, Zhijun Cai, Xitao Hu, Yao Gao, Chao Lin, Xueqiang Zhang, Bolong Huang, Quan Li   +9 more
wiley   +1 more source

Copper Doping Enhances the Activity and Selectivity of Atomically Precise Ag44 Nanoclusters for Photocatalytic CO2 Reduction

Advanced Functional Materials, EarlyView.
By a simple anti‐Galvanic reaction, up to six copper atoms could be preferably doped into the Ag2(SR)5 staple motifs and Ag20 dodecahedral shell of an atomically precise Ag44(SR)30 nanocluster. When anatase TiO2 is used as substrate, the (AgCu)44/TiO2 photocatalyst exhibited much improved activity in photocatalytic CO2 reduction compared to Ag44/TiO2 ...
Ye Liu, Xi Zheng, Xiufan Liu, Tengyuan Gao, Nicola Pinna, Yu Wang   +5 more
wiley   +1 more source

Layer-specific approximate multipliers for energy-precision trade-offs in convolutional neural networks. [PDF]

Sci Rep
Sayadi L, Moaiyeri MH, Timarchi S.
europepmc   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source