Results 101 to 110 of about 12,571,794 (304)
Simple approach to include external resistances in the Monte Carlo simulation of MESFETs and HEMTs [PDF]
The contact and external series resistances play an important role in the performance of modern 0.1-0.2 μm HEMT's. It is not possible to include these resistances directly into the Monte Carlo simulations.
Cameron, N. +3 more
core +1 more source
A new method to improve the accuracy of radioactivity of sample
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
How Monte Carlo heuristics aid to identify the physical processes of drug release kinetics
We implement a Monte Carlo heuristic algorithm to model drug release from a solid dosage form. We show that with Monte Carlo simulations it is possible to identify and explain the causes of the unsatisfactory predictive power of current drug release ...
Paola Lecca
doaj +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
Quasi Monte Carlo method for linear combination unitaries via classical postprocessing
We 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
doaj +1 more source
This survey explores the development of adjoint Monte Carlo methods for solving optimization problems governed by kinetic equations, a common challenge in areas such as plasma control and device design. These optimization problems are particularly demanding due to the high dimensionality of the phase space and the randomness in evaluating the objective
Russel Caflisch, Yunan Yang
openaire +2 more sources
The moment‐guided Monte Carlo method
AbstractIn this work we propose a new approach for the numerical simulation of kinetic equations through Monte Carlo schemes. We introduce a new technique that permits to reduce the variance of particle methods through a matching with a set of suitable macroscopic moment equations.
Degond P. +2 more
openaire +5 more sources
Short‐range order in 2D transition metal dichalcogenides is revealed as a new design paradigm. Driven by chemical affinity and atomic size, it governs properties across scales. Weak ordering tunes site‐resolved magnetism and d‐band centers, while strong ordering eliminates gap states to open band gaps.
Hanyu Liu +3 more
wiley +1 more source
The Application of Monte Carlo Method for Sensitivity Analysis of Compressor Components [PDF]
The robustness evaluation of compressor components must take into account the variations in the mechanical properties of the material (such as Young\u27s modulus and mass density), geometric parameters (as radius, thickness, length) and loads. Sometimes,
Silva, Julio César +1 more
core
Diverse Landscape of Tunable Magnetic, Topological, and Ferroelectric States in 2D Ti3Se3Te2
Ti3Se3Te2 emerges as a multifunctional 2D van der Waals platform. The monolayer is a dynamically stable ferromagnetic quantum anomalous Hall insulator. In bilayers, two stacking configurations yield distinct phases: AA‐stacking hosts an altermagnetic quantum spin Hall insulator, while AA′‐stacking exhibits three‐state in‐plane ferroelectricity ...
Jiangtao Yu +5 more
wiley +1 more source

