Results 161 to 170 of about 186,149 (308)

Deciphering Intricacies in Directional CO2 Conversion From Electrolysis to CO2 Batteries

Advanced Energy Materials, EarlyView.
This review will delve into the inherent connections and distinctions of CO2‐directed conversion in ECO2RR and CO2 batteries, in terms of product types, catalyst selection, catalytic mechanisms, and electrochemical performances, while proposing a benchmarking framework for the evaluation of CO2 batteries and innovative CO2 battery configurations for ...
Changfan Xu, Huaping Zhao, Lizhuang Chen, Weidong Shi, Guosheng Shao, Yong Lei   +5 more
wiley   +1 more source

Monte Carlo simulations of optical propagation in human skin using experimentally measured laser parameters. [PDF]

Lasers Med Sci
Girasol CE, Lobão RMQ, Sampaio MS, Cruz-Junior LB, Guirro RRJ, Bachmann L.   +5 more
europepmc   +1 more source

Generating Poisson Processes By Quasi-Monte Carlo

, 1996
Poisson processes on fixed intervals are imbedded in simulations where the goal is to estimate the expectation of some function of the process and of other random variables.
Bennett L. Fox, Quasi-monte Carlo
core  

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Monte Carlo Simulations Simulating Radioactivity

, 2013
Monte Carlo Simulations Simulating RadioactivityMonte Carlo Simulations Simulating ...
Abdelrahim, Asmaa
core  

Accounting for Substitution: Improving Estimates of GHG Reductions From Cattle‐Based Product Demand Shifts

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Estimates of reductions in greenhouse gas (GHG) emissions from lower demand for cattle‐based products must account for substitution effects. This study collected data through two surveys—one on ground beef and another on dairy milk—to evaluate substitution effects and potential GHG reductions.
Brandon R. McFadden, Sara Gardner Hedgecock, Lawton L. Nalley, Alvaro Durand‐Morat, Aaron Shew, Rodolfo M. Nayga Jr   +5 more
wiley   +1 more source

Advancing iris melanoma brachytherapy: Eye plaque models for Monte Carlo simulations and 3D dosimetric datasets. [PDF]

Med Phys
Djedouani M, Viner A, Fletcher EM, Thomson RM.   +3 more
europepmc   +1 more source

Kinematics of Multigrid Monte Carlo

, 1992
We study the kinematics of multigrid Monte Carlo algorithms by means of acceptance rates for nonlocal Metropolis update proposals. An approximation formula for acceptance rates is derived. We present a comparison of different coarse-to-fine interpolation
Monte Carlo, Kinematics Multigrid, Martin Grabenstein, Klaus Pinn   +3 more
core  

Hemp Cultivation and Crop Diversification: Implications for Ecosystem Services in Kentucky

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT This study examines the ecosystem benefits of expanding hemp cultivation by assessing its impact on crop diversity. Using scenario‐based simulations and fixed‐effect panel regressions with county‐level data in Kentucky, we find that increased hemp acreage tends to enhance crop diversity, improving water quality and bird diversity.
Yunsun Park, Seong D. Yun, Brandy E. Phipps, Tyler Mark, Craig Schluttenhofer   +4 more
wiley   +1 more source

Accelerating mesh-based Monte Carlo simulations using contemporary graphics ray-tracing hardware. [PDF]

J Biomed Opt
Yan S, Dwyer D, Kaeli DR, Fang Q.
europepmc   +1 more source