Results 61 to 70 of about 160,530 (268)
Inverse Design of Amorphous Materials With Targeted Properties
Advanced Materials, EarlyView.AMDEN is a diffusion model framework for the inverse design of amorphous materials with targeted properties. By incorporating Hamiltonian Monte Carlo refinement into the denoising process, the framework overcomes the challenge of generating thermally relaxed disordered structures.
Jonas A. Finkler +4 more
wiley +1 more source
Advanced Materials, EarlyView.The field of polymer thermoelectrics is entering a new era, featuring breakthroughs in addressing the conventional performance disparity between p‐type and n‐type polymers, pioneering doping frontiers, and sophisticated decoupling strategies. This review explores innovations in molecular design and superior stabilities, bridging the gap from ...
Suhao Wang
wiley +1 more source
Conversion of Monte Carlo Steps to Real Time for Grain Growth Simulation
Advances in Mathematical Physics, 2017 Monte Carlo (MC) technique is becoming a very effective simulation method for prediction and analysis of the grain growth kinetics at mesoscopic level.
N. Maazi
doaj +1 more source
Determination of Organ Doses in Radioiodine Therapy using Monte Carlo Simulation
World Journal of Nuclear Medicine, 2015 Radioactive iodine treatment is a type of internal radiotherapy that has been used effectively for the treatment of differentiated thyroid cancer after thyroidectomy.
Daryoush Shahbazi-Gahrouei, Saba Ayat
doaj +1 more source
Correlated Charge Transport in an Organic Coulomb Glass
Advanced Materials, EarlyView.ABSTRACT Advances in the development of organic field‐effect transistors (OFETs), electrically gated organic semiconductors (EGOFETs), and organic electrochemical transistors (OECTs) allow for the operation of these devices at very high charge‐carrier densities, where Coulomb interactions between carriers can be expected to become significant.
Magdalena Sophie Dörfler +3 more
wiley +1 more source
Stochastic Assessment of Voltage Sags in Distribution Networks
Iranian Journal of Electrical and Electronic Engineering, 2008 This paper compares fault position and Monte Carlo methods as the most common methods in stochastic assessment of voltage sags. To compare their abilities, symmetrical and unsymmetrical faults with different probability distribution of fault positions ...
M. Aliakbar-Golkar, Y. Raisee-Gahrooyi
doaj
Advanced Materials, EarlyView.The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
A new method to improve the accuracy of radioactivity of sample
四川大学学报. 自然科学版, 2019 Detection efficiency of gamma rays is an important factor to affect the measurement accuracy of radioactivity. There are two methods to acquire detection efficiency currently, the standard sample method and Monte Carlo method. Both methods have their own
ZHONG Wan-Bing, XU Jia-Yun, BAI Li-Xin
doaj
Quasi Monte Carlo method for linear combination unitaries via classical postprocessing
Physical Review ResearchWe propose the quasi Monte Carlo method for linear combination of unitaries via classical postprocessing (LCU-CPP) on quantum applications. The LCU-CPP framework has been proposed as an approach to reduce hardware resources, expressing a general target ...
Yuya Kawamata +2 more
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Lecturas de Economía, 2009 El método Monte Carlo se aplica a varios casos de valoración de opciones financieras. El método genera una buena aproximación al comparar su precisión con la de otros métodos numéricos.
Cecilia Maya
doaj +1 more source