Results 161 to 170 of about 852,908 (291)

Efficient world-line-based quantum Monte Carlo method without Hubbard-Stratonovich transformation. [PDF]

Sci Rep, 2022
Wang J, Pan W, Sun DY.
europepmc   +1 more source

Insights on SEI Growth and Properties in Na‐Ion Batteries via Physically Driven Kinetic Monte Carlo Model

Advanced Energy Materials, EarlyView.
The novel kinetic Monte Carlo model presented here incorporates spatially‐ and time‐dependent electrical potential, which enables the precise study of the solid electrolyte interphase formation in Na‐ion batteries. The effects of electrolyte composition and charging conditions on the growth and behavior of the solid electrolyte interphase during the ...
Kie Hankins, Miftahussurur Hamidi Putra, Janika Wagner‐Henke, Axel Groß, Ulrike Krewer   +4 more
wiley   +1 more source

Assessment of Radiation Attenuation Properties in Dental Implants Using Monte Carlo Method. [PDF]

Bioengineering (Basel)
Rasat A, Tunc S, Uncu YA, Ozdogan H.
europepmc   +1 more source

Uncertainty Evaluation for the Quantification of Urinary Amphetamine and 4-Hydroxyamphetamine Using Liquid Chromatography-Tandem Mass Spectrometry: Comparison of the Guide to the Expression of Uncertainty in Measurement Approach and the Monte Carlo Method with R. [PDF]

Molecules, 2023
Kim SY, Shin DW, Hyun J, Kwon NH, Cheong JC, Paeng KJ, Lee J, Kim JY.   +7 more
europepmc   +1 more source

Mechanistic Considerations for Battery Charging Protocol Design

Advanced Energy Materials, EarlyView.
This review bridges practical fast‐charging protocols with fundamental mechanisms of SOC‐dependent structural and compositional changes in electrode materials, kinetic limitations such as polarization and inhomogeneity, and heat generation characteristics shaped by protocol design.
Wenlong Li, Ayrton Yanyachi, Junyi Xia, Saravana Kuppan, Jigang Zhou, Yixian Wang, Yanfei Li, Piero Pianetta, Kejie Zhao, David Mitlin, Ofodike Ezekoye, Jie Xiao, Junmin Wang, Yijin Liu   +13 more
wiley   +1 more source

Research on Linear Energy Transfer of SiC Materials Based on Monte Carlo Method. [PDF]

Micromachines (Basel)
Xiao J, Xie H, Du S, Wang S, Zhao T, Liu H.   +5 more
europepmc   +1 more source

Short- versus long-term tests of indoor radon for risk assessment by Monte-Carlo method towards effective measurement strategy. [PDF]

Indoor Air, 2022
Tsapalov A, Kovler K.
europepmc   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source

Determining the Upper-Bound on the Code Distance of Quantum Stabilizer Codes Through the Monte Carlo Method Based on Fully Decoupled Belief Propagation. [PDF]

Entropy (Basel)
Liang Z, Wang Z, Yi Z, Yang F, Wang X.
europepmc   +1 more source

Optimal Temperature Protocols for Liver Machine Perfusion Using a Monte Carlo Method. [PDF]

IFAC Pap OnLine, 2022
Lucia A, Uygun K.
europepmc   +1 more source