Results 181 to 190 of about 255,160 (310)

Multilevel Monte Carlo Methods for Stochastic Convection-Diffusion Eigenvalue Problems. [PDF]

J Sci Comput
Cui T, De Sterck H, Gilbert AD, Polishchuk S, Scheichl R.   +4 more
europepmc   +1 more source

Using Monte Carlo methods for H_p(0.07) values assessment during the handling of ¹⁸F-FDG. [PDF]

Radiat Environ Biophys, 2020
Albiniak Ł, Wrzesień M.
europepmc   +1 more source

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 methods to assess biological response to radiation in peripheral organs and in critical organs near the target. [PDF]

Rep Pract Oncol Radiother
Matuszak N, Piotrowski I, Kruszyna-Mochalska M, Skrobala A, Mocydlarz-Adamcewicz M, Malicki J.   +5 more
europepmc   +1 more source

On Monte Carlo algorithms applied to Dirichlet problems for parabolic operators in the setting of time-dependent domains [Elektronisk resurs]

, 2009
Dirichlet problems for second order parabolic operators in space-time domains Ω⊂ Rn+1  are of paramount importance in analysis, partial differential equations and applied mathematics.
Önskog, Thomas,, Nyström, Kaj,
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

Nonlinear Monte Carlo Methods with Polynomial Runtime for Bellman Equations of Discrete Time High-Dimensional Stochastic Optimal Control Problems. [PDF]

Appl Math Optim
Beck C, Jentzen A, Kleinberg K, Kruse T.
europepmc   +1 more source

Thompson sampling based Monte-Carlo planning in POMDPs

Monte-Carlo tree search (MCTS) has been drawinggreat interest in recent years for planning under uncertainty. One of the key challenges is the tradeoffbetween exploration and exploitation. To addressthis, we introduce a novel online planning algorithmfor
Wu, Feng, Bai, Aijun, Chen, Xiaoping, Zhang, Zongzhang   +3 more
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

Simulation with Monte Carlo methods to focus quality improvement efforts on interventions with the greatest potential for reducing PACU length of stay: a cross-sectional observational study. [PDF]

BMJ Open Qual
Jones JH, Fleming N.
europepmc   +1 more source