Dosimetric characterization of single- and dual-port temporary tissue expanders for postmastectomy radiotherapy using Monte Carlo methods. [PDF]
Front Oncol, 2023 Ramos-Méndez J, Park C, Sharma M.
europepmc +1 more source
Evaluation of Dose Distributions From Elongated and Curved Brachytherapy Sources Using Conventional Treatment Planning Software and Monte Carlo Methods [PDF]
, 2011 Elizabeth Bannon, Mark J. Rivard
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Strategies for Enhancing Thermal Conductivity of PDMS in Electronic Applications
Advanced Materials Technologies, EarlyView.This review explores effective strategies for enhancing heat dissipation in Polydimethylsiloxane (PDMS)‐based composites, focusing on particle optimization, 3D network design, and multifunctional integration. It offers key insights into cutting‐edge methods and simulations that are advancing thermal management in modern electronic devices.
Xiang Yan, Marisol Martin‐Gonzalez
wiley +1 more source
Development of JAERI Monte Carlo machine and its effective performance
Computer Assisted Methods in Engineering and Science, 2023 The JAERI Monte Carlo Machine has been developed mainly to enhance the computational performance of numerical simulations with particle models such as Monte Carlo methods. The features of the JAERI Monte Carlo machine are i) vector processing capability
Kenji Higuchi +7 more
doaj
Ductility Tuning via Cluster Network Characteristics of Porous Components
Advanced Materials Technologies, EarlyView.Network optimization via cluster characteristics induced by interaction of stress concentration is proposed, demonstrating increased cluster size and dispersion in non‐uniform porous components. The optimized structures exhibit, for the first time, that enhanced ductility and damage progression is controllable through zigzag cluster network designed by
Ryota Toyoba +4 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 +4 more
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A new generation of HPC developers using quantum Monte Carlo (QMC) methods is growing
, 2021 Sara Pittonet +2 more
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Vision‐Assisted Avocado Harvesting with Aerial Bimanual Manipulation
Advanced Robotics Research, EarlyView.This work outlines the design and implementation of a bimanual aerial robot that employs visual perception and learning to detect, reach, and harvest avocados. A new gripper and fixer arm assembly is used to harvest avocados, while visual perception enables the detection of avocados and estimation of their position and orientation for determining ...
Zhichao Liu +3 more
wiley +1 more source
Advanced Sustainable Systems, EarlyView.This study analyses the uncertainty and variability existing in the economic performance of polylactic acid (PLA) production, via integrating techno‐economic analysis with process models and Monte Carlo simulation enabled by artificial intelligence. The results show that the minimum selling price varies from $2,107 to $3076/t PLA.
Yinqiao Wang +5 more
wiley +1 more source
Monte Carlo methods for device simulations in radiation therapy. [PDF]
Phys Med Biol, 2021 Park H +4 more
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