Results 71 to 80 of about 161,383 (266)

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

Advanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung, Jiaxiang Yi, Hieu Nguyen‐Duc, Tien Nu Hoang Lo, Weili Zhao, Chaoqun Dong, Fabien Sorin, Baris Caglar, Lei Wei, Tung Nguyen‐Dang   +9 more
wiley   +1 more source

MedLinac2: a GEANT4 based software package for radiotherapy

Annali dell'Istituto Superiore di Sanità, 2010
Dose distribution evaluation in oncological radiotherapy treatments is an outstanding problem that requires sophisticated computing technologies to optimize the clinical results (i.e.
Barbara Caccia, Claudio Andenna, Giuseppe Antonio Pablo Cirrone   +2 more
doaj   +1 more source

Super‐Resolution Ultrasound Based Cell Tracking With Polymeric Nanobubbles

Advanced Materials, EarlyView.
This study presents a super‐resolution ultrasound platform for tracking cells in vivo. Biocompatible polymeric nanobubbles are used as highly echogenic intracellular labels. Following the injection of cells and microbubbles, ultrasound localization microscopy (ULM) can dynamically match the microvascular architecture and individual cell trajectories ...
Junlin Chen, Xiaoyu Wang, Jilin Fan, Bi Wang, Hanghang Fang, Yurui Wang, Hao Cui, Mohammad Roufarshbaf, Ekaterina Savina, Alexandra Valeske, Quim Peña, Yang Shi, Andreas Herrmann, Twan Lammers, Mathias Hornef, Roman Barmin, Thomas Lisson, Georg Schmitz, Anne Rix, Fabian Kiessling   +19 more
wiley   +1 more source

Scalable Task Planning via Large Language Models and Structured World Representations

Advanced Robotics Research, EarlyView.
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari, Zhaoting Li, Robert Babuška, Jens Kober, Cosimo Della Santina   +4 more
wiley   +1 more source

Quasi Monte Carlo method for linear combination unitaries via classical postprocessing

Physical Review Research
We propose the quasi Monte Carlo method for linear combination of unitaries via classical postprocessing (LCU-CPP) on quantum applications. The LCU-CPP framework has been proposed as an approach to reduce hardware resources, expressing a general target ...
Yuya Kawamata, Kosuke Mitarai, Keisuke Fujii   +2 more
doaj   +1 more source

Monte Carlo Option Princing

Lecturas de Economía, 2009
El método Monte Carlo se aplica a varios casos de valoración de opciones financieras. El método genera una buena aproximación al comparar su precisión con la de otros métodos numéricos.
Cecilia Maya
doaj   +1 more source

Method “Monte Carlo” in healthcare

World Journal of Methodology
In public health, simulation modeling stands as an invaluable asset, enabling the evaluation of new systems without their physical implementation, experimentation with existing systems without operational adjustments, and testing system limits without real-world repercussions.
Velikova, Tsvetelina, Mileva, Niya, Naseva, Emilia   +2 more
openaire   +2 more sources

Disorder‐Induced Extremely Low Thermal Conductivity of Graphite Fluoride

Advanced Science, EarlyView.
This article investigates the effect of fluorination on the thermal conductivity of graphite fluoride, demonstrating the relationship between structural modification and thermal conductivity in an extreme case. The record‐low through‐plane thermal conductivity measured in exfoliated graphite fluoride flakes was found to correlate with the wide ...
Wonsik Lee, Donghoon Moon, Ziyan Qian, Jinwoo Kim, Changheon Kim, Yeojin Lee, Hyobin Yoo, Richard B. Wilson, Qiye Zheng, Gwan‐Hyoung Lee, Hyejin Jang   +10 more
wiley   +1 more source

A new method to improve the accuracy of radioactivity of sample

四川大学学报. 自然科学版, 2019
Detection efficiency of gamma rays is an important factor to affect the measurement accuracy of radioactivity. There are two methods to acquire detection efficiency currently, the standard sample method and Monte Carlo method. Both methods have their own
ZHONG Wan-Bing, XU Jia-Yun, BAI Li-Xin
doaj  

Conversion of Monte Carlo Steps to Real Time for Grain Growth Simulation

Advances in Mathematical Physics, 2017
Monte Carlo (MC) technique is becoming a very effective simulation method for prediction and analysis of the grain growth kinetics at mesoscopic level.
N. Maazi
doaj   +1 more source