Results 131 to 140 of about 708,503 (346)

Micromagnetic Monte Carlo method with variable magnetization length based on the Landau–Lifshitz–Bloch equation for computation of large-scale thermodynamic equilibrium states [PDF]

, 2021
Serban Lepadatu
openalex   +1 more source

A Survey of Monte Carlo Tree Search Methods

IEEE Transactions on Computational Intelligence and AI in Games, 2012
C. Browne, E. Powley, D. Whitehouse, S. Lucas, P. Cowling, Philipp Rohlfshagen, Stephen Tavener, Diego Perez Liebana, Spyridon Samothrakis, S. Colton   +9 more
semanticscholar   +1 more source

Learned Conformational Space and Pharmacophore Into Molecular Foundational Model

Advanced Science, EarlyView.
The Ouroboros model introduces two orthogonal modules within a unified framework that independently learn molecular representations and generate chemical structures. This design enables flexible optimization strategies for each module and faithful structure reconstruction without prompts or noise.
Lin Wang, Yifan Wu, Hao Luo, Minglong Liang, Yihang Zhou, Cheng Chen, Chris Liu, Jun Zhang, Yang Zhang   +8 more
wiley   +1 more source

DETERMINATION OF MACROSCOPIC QUANTITIES FOR A TOWNSEND DISCHARGE IN HELIUM BY BOTH BOLTZMANN EQUATION AND MONTE CARLO METHODS

, 1979
P. Ségur, S. Pareathumby, M. Yousfi, E. Marode   +3 more
openalex   +2 more sources

Determination of sensitivity coefficients and their uncertainties in Rockwell hardness measurement: a Monte Carlo method for multiple linear regression [PDF]

, 2022
Pierluigi Rizza, Marcello Murgia, Andrea Prato, Claudio Origlia, Alessandro Germak   +4 more
openalex   +1 more source

Hump‐Shaped Relationship Between Microbial Carbon Use‐Efficiency and Soil Organic Carbon in Alpine Grasslands

Advanced Science, EarlyView.
On the Qinghai–Tibetan Plateau, microbial carbon use efficiency (CUE) peaks at intermediate soil organic carbon levels and declines thereafter. In carbon‐rich soils, the formation of stable mineral‐associated organic carbon is decoupled from microbial CUE.
Yuting Wang, Yongneng Wei, Gangsheng Wang, Yang Ruan, Ling Li, Xiang Liu, Yunfeng Yang, Qirong Shen, Ning Ling   +8 more
wiley   +1 more source

A Hybrid Approach for Approximating the Ideal Observer for Joint Signal Detection and Estimation Tasks by Use of Supervised Learning and Markov-Chain Monte Carlo Methods. [PDF]

IEEE Trans Med Imaging, 2022
Li K, Zhou W, Li H, Anastasio MA.
europepmc   +1 more source

Investigations of Building-Related LCC Sensitivity of a Cost-Effective Renovation Package by One-at-a-Time and Monte Carlo Parameter Variation Methods [PDF]

, 2022
Yovko Ivanov Antonov, Kim Trangbæk Jønsson, Per Heiselberg, Michal Zbigniew Pomianowski   +3 more
openalex   +1 more source

Monte Carlo Statistical Methods

Springer Texts in Statistics, 2004
Christian P. Robert, George Casella
semanticscholar   +1 more source

Atomic‐Scale Insights into Yttrium‐Induced Grain Boundary Structure Modification in Al2O3

Advanced Science, EarlyView.
Using advanced STEM characterization combined with NNP‐based MCMD calculations, it is revealed that Y segregation at ∑13 Al2O3 GB involves not only simple substitution of Y for Al atoms but also structural adaptation with a change in GB atomic density, leading to minimized excess volume and lowest GB energy.
Jingyuan Yan, Tatsuya Yokoi, Yuuki Nakano, Shun Kondo, Bin Feng, Naoya Shibata, Katsuyuki Matsunaga, Yuichi Ikuhara   +7 more
wiley   +1 more source