Results 151 to 160 of about 484,217 (355)

A Data‐Driven Inverse Design Methodology for Magnetic Soft Millirobots Navigating in Confined Spaces

Advanced Science, EarlyView.
A data‐efficient inverse design framework automates the optimization of magnetic soft millirobots for confined‐space navigation. Integrating a physics‐based Cosserat rod model with Bayesian optimization efficiently identifies high‐performance geometries.
Ziyu Ren, Hong Wang, Chak Wang Tse, Yi Zheng, Xi Chen, Wenqi Hu   +5 more
wiley   +1 more source

"Style Analysis Based on a General State Space Model and Monte Carlo Filter" [PDF]

This paper proposes a new approach to style analysis by utilizing a general state space model and Monte Carlo filter. In particular,We regard coefficients of style indices as state variables in the state space model and apply Monte Carlo filter as ...
Seisho Sato, Takao Kobayashi, Akihiko Takahashi   +2 more
core  

Analysis of skin tissues spatial fluorescence distribution by the Monte Carlo simulation [PDF]

, 2003
A novel Monte Carlo technique of simulation of spatial fluorescence distribution within the human skin is presented. The computational model of skin takes into account the spatial distribution of fluorophores, which would arise due to the structure of
Churmakov, D. Y., Greenhalgh, Douglas A., Meglinski, Igor V., Piletsky, Sergey A.   +3 more
core  

Self‐Adaptive Non‐Flammable Wallpaper With Layered Bead‐Network Structure for Light Path Modulation Enabling on‐Demand Building Thermal Management

Advanced Science, EarlyView.
A layered bead‐network wallpaper is designed to modulate the light propagation path, overcoming the color residue limitations of thermochromic components for efficient automatic switching between radiative cooling and solar heating modes. The layered bead‐network wallpaper provides passive, all‐season thermal regulation while offering self‐cleaning and
Jianyu Wu, Linmin Xia, Jiankun Wu, Yuying Yang, Wuhong Zhong, Jianguo Li, Yan Yu, Rilong Yang   +7 more
wiley   +1 more source

Attitude Control System for Quadrotor Using Robust Monte Carlo Model Predictive Control

Actuators
Monte Carlo Model Predictive Control (MCMPC) is a kind of non-linear Model Predictive Control (MPC) that determines control inputs using the Monte Carlo method.
Kai Masuda, Kenji Uchiyama
doaj   +1 more source

Self-Checked Metamorphic Testing of Monte Carlo Simulation

, 2011
Photon propagation in biological tissues can be modeled with Monte Carlo simulations numerically. However testing a such program is difficult due to the unknown character of the test oracles.
Wu, Tong, NC DOCKS at East Carolina University   +1 more
core  

Improved Monte Carlo renormalization group methods

, 1984
Hasenfratz A, Hasenfratz P, Heller U, Karsch F. Improved Monte Carlo renormalization group methods. Physics Letters, B. 1984;140(1-2):76-82.The practical application of MCRG requires the flow lines to reach the renormalized trajectory after a small ...
Karsch, Frithjof, Heller, U, Hasenfratz, Peter, Hasenfratz, Anna, Hasenfratz, A., Hasenfratz, P., Heller, U.   +6 more
core   +1 more source

AI‐Designed Cyclic Peptides Enable Controllable Modulation of the CD28 Immune Checkpoint

Advanced Science, EarlyView.
AI‐designed cyclic peptides enable controllable modulation of the CD28 immune checkpoint through reversible disruption of CD28‐CD80/CD86 interactions. The lead peptide, CIP‐3, suppresses T‐cell activation without intrinsic agonist activity, demonstrates dose‐dependent efficacy in a murine colitis model, and attenuates inflammatory cytokine production ...
Katarzyna Kuncewicz, Saurabh Upadhyay, Renjie Zhu, Hongliang Duan, Moustafa T. Gabr   +4 more
wiley   +1 more source

Investigations of Water Transport in Shale Reservoir with Dual-Wettability by Using Monte Carlo Method. [PDF]

ACS Omega, 2023
Liang T, Fan W, Yu B, Yang C, Qu M.
europepmc   +1 more source

Machine Learning‐Driven Prediction of Microplastic Aging Processes and Environmental Risk Assessment Across Multi‐Media Systems

Advanced Science, EarlyView.
This perspective proposes a cohesive machine learning strategy to decode microplastic aging. It advocates for Federated Learning to dismantle global data silos and introduces the TRACE framework (TRansport, Aging, Corona, Ecotoxicity). By integrating physics‐informed modeling with causal discovery, this approach bridges the laboratory‐field gap to ...
Yaping Lyu, Xinran Qiu, Xing Li, Tianhuan Yang, Xuetao Guo, Hao Qiu, Peng Zhang   +6 more
wiley   +1 more source