Results 141 to 150 of about 857,070 (293)

Research on Surface Morphology of Gold Micro Bumps Based on Monte Carlo Method. [PDF]

Micromachines (Basel), 2023
Ji H, Tian W, Qian H, Sun X, Wang Y, Gu L, Zheng L.   +6 more
europepmc   +1 more source

In Situ Elucidations of the Mechanism for Inert Molecular N2O Decomposition at Low Temperature Catalyzed by High‐Index Interfacial Exposed Co3O4

Advanced Science, EarlyView.
This study develops a co‐precipitation followed by hydrothermal synthesis strategy for synthesizing Co3O4 catalyst with multiple high‐index facets. Experiments and density functional theory calculations demonstrate that Co3+ on the (400–400) facet can form a novel active Co3+‐O* motif during the reaction.
Lei Pan, Qian Mi, Minghao Wang, Luyu Wang, Yiyang Xie, Huanjie Zhang, Ruinian Xu, Biaohua Chen   +7 more
wiley   +1 more source

An efficient quasi-Monte Carlo method with forced fixed detection for photon scatter simulation in CT. [PDF]

PLoS One, 2023
Lin G, Deng S, Wang X.
europepmc   +1 more source

Faster and Durable: A Cell‐to‐System Validation of a Low‐Degradation Fast‐Charge Protocol for Li‐Ion Batteries

Advanced Science, EarlyView.
A physics‐based framework resolving graphite phase‐separation dynamics establishes a predictive, degradation‐aware fast‐charging methodology for commercial Li‐ion batteries. The resulting model‐informed protocol achieves 20%–80% state‐of‐charge in 14 min while matching the long‐term degradation of a commercial 25‐minute EV strategy.
Marco Lagnoni, Francesco Giuseppe Quilici, Davide Cademartori, Claudio Scarpelli, Uways Nurulain Mithoowani, Federica Barontini, Alessandro Ruvio, Monica Puccini, Giovanni Lutzemberger, Maria Paola Carpanese, Antonio Bertei   +10 more
wiley   +1 more source

Solid Ethanol as a Renewable, Low‐Toxicity, Electron‐Beam Direct Write, and Biomedical Material

Advanced Science, EarlyView.
3D ice lithography (3DIL) enables the fabrication of intricate submicrometer objects using ethanol as a renewable starting material. This study combines process optimization, structural and material analysis, and biomedical applications, from cell culture scaffolds to the patterning of neurostimulation electrodes, demonstrating performance in both in ...
Bruno Perdigão, Bingdong Chang, Gwendoline A. E. Anand, Lechan Tao, Kayeon Kim, Anne Zebitz Eriksen, Malte Alexander Schönhoff, Guilherme Ferreira, Xiyuan Liu, Su Genelioglu, Joachim Lyngholm‐Kjærby, Neha Zahoor, Johan Ulrik Lind, Alice Bastos da Silva Fanta, Thomas Willum Hansen, Changsi Cai, Anpan Han   +16 more
wiley   +1 more source

Environmental Insights and Sustainability Opportunities for Scaled‐Up MXene Production Without Etching

Advanced Science, EarlyView.
Through a systematic and comprehensive analysis of the environmental impacts for the emerging MXene synthesis pathways, this study presents process transformation and optimization opportunities for low‐carbon MXene production from laboratory to industrial scales.
Yushuai Huang, Peng Peng, Maoqiao Xiang, Fen Yue, Jiangyan Wang, Wenwei Liu, Qingshan Zhu   +6 more
wiley   +1 more source

Monte Carlo method for assessment of a multimodal insertable biosensor. [PDF]

J Biomed Opt, 2022
Fine J, McShane MJ, Coté GL.
europepmc   +1 more source

Fundamental Challenges, Physical Implementations, and Integration Strategies for Ising Machines in Large‐Scale Optimization Tasks

Advanced Electronic Materials, EarlyView.
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley   +1 more source

Structural Quantification of the Surface-Confined Metal-Organic Precursors Simulated with the Lattice Monte Carlo Method. [PDF]

Molecules, 2023
Lisiecki J, Szabelski P.
europepmc   +1 more source

Efficient In‐Hardware Matrix–Vector Multiplication and Addition Exploiting Bilinearity of Schottky Barrier Transistors Processed on Industrial FDSOI

Advanced Electronic Materials, EarlyView.
ABSTRACT Machine learning and Artificial Intelligence (AI) tasks have stretched traditional hardware to its limits. In‐hardware computation is a novel approach that aims to run complex operations, such as matrix–vector multiplication, directly at the device level for increased efficiency.
Juan P. Martinez, Niladri Bhattacharjee, Yuxuan He, Giulio Galderisi, Brojogopal Sapui, Sara Mannaa, Ian O'Connor, Violetta Sessi, Peter Javorka, Thomas Mikolajick, Jens Trommer   +10 more
wiley   +1 more source