Results 101 to 110 of about 2,645,187 (293)

Emergent Spin Supersolids in Frustrated Quantum Materials

Advanced Materials, EarlyView.
This review highlights developments in the study of spin super‐solids in frustrated quantum materials. Advanced experimental characterizations and computational studies enable a comprehensive understanding of the driving mechanisms of spin super‐solidity in various layered transition‐metal compounds, bridging materials, experiments, and theory aspects.
Yixuan Huang, Seiji Yunoki, Sadamichi Maekawa   +2 more
wiley   +1 more source

Uncertainties in greenhouse gas emission factors: A comprehensive analysis of switchgrass‐based biofuel production

GCB Bioenergy
This study investigates uncertainties in greenhouse gas (GHG) emission factors related to switchgrass‐based biofuel production in Michigan. Using three life cycle assessment (LCA) databases—US lifecycle inventory (USLCI) database, GREET, and Ecoinvent ...
Seungdo Kim, Bruce E. Dale, Bruno Basso
doaj   +1 more source

A weight window approach for dose rate calculations in Lead-cooled Fast Reactors with OpenMC [PDF]

EPJ Web of Conferences
This paper presents the application of a variance reduction technique for radiation shielding calculations in Lead-cooled Fast Reactors (LFRs) using the OpenMC Monte Carlo code. The study focuses on assessing the computational efficiency of the Method of
Zammataro Matteo, Falabino Matteo, Abrate Nicolò, Carta Mario, Tomatis Daniele   +4 more
doaj   +1 more source

Fast Monte Carlo Simulation of ⁹⁰Y Bremsstrahlung using a Kernel-based Photon Source [PDF]

, 2011
In targeted radionuclide therapy using ⁹⁰Y, bremsstrahlung photons can be used for imaging and subsequently for absorbed dose estimation. Monte Carlo simulation is a reliable method to study bremsstrahlung imaging but it takes a long computation time as ...
Zakariah, Suhaili
core  

Large‐Scale Determination of Frontier Orbital Energies of Disordered Small‐Molecule Organic Semiconductors Using Exciplex Emission Spectra

Advanced Materials, EarlyView.
ABSTRACT Accurately knowing the frontier orbital energies of the structurally disordered small‐molecule organic semiconductors that are used in optoelectronic devices such as organic light‐emitting diodes is required to rationally improve their performance. Here, we show that these energies can be deduced with a large accuracy from the peak energies of
Christian B. McDonald, Hiroki Tomita, Giacomo Cotelli, Louka L. Brüll, Nanno G. de Rooij, Lucas R.L. Norg, Milo Clément, Reinder Coehoorn   +7 more
wiley   +1 more source

Stabilization effect of fission source in coupled Monte Carlo simulations

Nuclear Engineering and Technology, 2017
A fission source can act as a stabilization element in coupled Monte Carlo simulations. We have observed this while studying numerical instabilities in nonlinear steady-state simulations performed by a Monte Carlo criticality solver that is coupled to a ...
Börge Olsen, Jan Dufek
doaj   +1 more source

Unconventional Biexciton Dynamics in Superradiant Perovskite Quantum Dots Driven by Many‐Body Correlations

Advanced Materials, EarlyView.
Single‐particle spectroscopy and variational quantum Monte Carlo simulations reveal that strong many‐body correlations fundamentally alter biexciton radiative recombination in weakly confined CsPbBr3 quantum dots. Intra‐ and inter‐exciton correlations reverse the conventional lifetime hierarchy, yielding biexcitons with longer radiative lifetimes than ...
Chenglian Zhu, Jose L. Movilla, Petra Hoffmann, Ihor Cherniukh, Willem P. A. Verheijen, Leon G. Feld, Josep Planelles, Maryna I. Bodnarchuk, Simon C. Boehme, Juan I. Climente, Maksym V. Kovalenko, Gabriele Rainò   +11 more
wiley   +1 more source

Efficient identification of critical regions via flow matching-based Monte Carlo initialization

Machine Learning: Science and Technology
Markov chain Monte Carlo (MCMC) is a standard tool for studying many-body systems, but its practical cost can become substantial, especially when simulations must be repeated across temperatures and lattice sizes or near transition regions where ...
Qian-Rui Lee, Daw-Wei Wang
doaj   +1 more source

Iterative Selection of DNA Nanostructures for Cellular Uptake

Advanced Materials, EarlyView.
DNA nanostructures are promising cell targeting delivery vehicles for therapeutics, but the targeting behavior is not fully understood. In this study, libraries of DNA nanostructures that can be amplified and sequenced are combined with cellular uptake as a selection pressure to iteratively refine DNA structures taken up in cells to better understand ...
Anjali Rajwar, Lisa Eichhorn, Jakub Palacka, Sandra Ly, Erik Benson   +4 more
wiley   +1 more source

Development of JAERI Monte Carlo machine and its effective performance

Computer Assisted Methods in Engineering and Science, 2023
The JAERI Monte Carlo Machine has been developed mainly to enhance the computational performance of numerical simulations with particle models such as Monte Carlo methods. The features of the JAERI Monte Carlo machine are i) vector processing capability
Kenji Higuchi, Kiroshi Asai, Masayuki Akimoto, Shaw Kambayashi, Shinji Tokuda, Yukihiro Hasegawa, Akira Asami, Makoto Sasaki   +7 more
doaj