Results 71 to 80 of about 114,035 (266)

Teaching Monte Carlo Simulation in a Business Analytics Course

Spreadsheets in Education, 2021
This paper provides an example for teaching Monte Carlo simulation principles in a business analytics course. Specifically, this paper presents a spreadsheet-based Monte Carlo simulation model for a 90-day binary options investment horizon using the ...
David Perkins
doaj  

When Poor Exciton Dissociation Limits Photocurrents in Organic Solar Cells: Why Low Offset Non‐Fullerene Acceptor Blends Can't Be Efficient

Advanced Materials, EarlyView.
The energetic offset between the donor and the acceptor components in organic photoactive layers is central to the tradeoff between photovoltage and photocurrent losses. This Perspective covers the most important issues surrounding this topic in non‐fullerene acceptor blends, from the difficulty of accurately determining state energies and driving ...
Dieter Neher, Manasi Pranav
wiley   +1 more source

PENENTUAN HARGA KONTRAK OPSI TIPE ASIA MENGGUNAKAN MODEL SIMULASI NORMAL INVERSE GAUSSIAN (NIG)

E-Jurnal Matematika, 2014
The aim to determine of the simulation results and to calculate the stock price of Asian Option with Normal Inverse Gaussian (NIG) method and Monte Carlo method using MATLAB program. Results of both models are compared and selected a fair price.
I PUTU OKA PARAMARTHA, KOMANG DHARMAWAN, DESAK PUTU EKA NILAKUSMAWATI   +2 more
doaj   +1 more source

Resistance to Overdoping Allows Over 2000 S cm−1 Conductivity in P(g3BTTT) With Anion‐Exchange Doping

Advanced Materials, EarlyView.
Anion‐exchange doping of conjugated polymers is an effective way to achieve high conductivities. Here, we report over 2000 S cm−1 electrical conductivity for doped P(g3BTTT). In addition, we show that P(g3BTTT) sustains exceptionally high doping levels without any drop in the charge mobility.
Basil Hunger, Maximilian M. Horn, Eva Röck, Diego Rosas Villalva, Lize Bynens, Jochen Vanderspikken, Christina Kousseff, Silène Gobeil, Olivier Bardagot, Nesibe Akmanşen‐Kalayci, Sarah H. Tolbert, Iain McCulloch, Wouter Maes, Demetra Tsokkou, Natalie Banerji   +14 more
wiley   +1 more source

Monte Carlo Simulation in Reactor Physics

Journal of Nuclear Engineering
With the increasing demand for high-fidelity neutronics analysis and the development of computer technology, the Monte Carlo method is becoming increasingly important, especially in the critical analysis of initial core and shielding calculations [...]
Shichang Liu, Binji Wang
doaj   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Assessing Excel VBA Suitability for Monte Carlo Simulation

Spreadsheets in Education, 2015
Monte Carlo (MC) simulation includes a wide range of stochastic techniques used to quantitatively evaluate the behavior of complex systems or processes. Microsoft Excel spreadsheets with Visual Basic for Applications (VBA) software is, arguably, the most
Alexei Botchkarev
doaj  

Direct Monte Carlo simulation of nanoscale mixed gas bearings

Advances in Mechanical Engineering, 2015
The conception of sealed hard drives with helium gas mixture has been recently suggested over the current hard drives for achieving higher reliability and less position error.
Kyaw Sett Myo, Weidong Zhou, Kok Leong Lee, Shengkai Yu, Wei Hua   +4 more
doaj   +1 more source

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

Adaptive Memory Saving Strategy in Shielding Calculation of RMC [PDF]

EPJ Web of Conferences
RMC(Reactor Monte Carlo) is a Monte Carlo simulation software used in reactor design and has been verified by different benchmarks. The former data structure and algorithm have been optimized for criticality and burn-up calculation making it inconvenient
Hu Yingzhe, Huang Shanfang, Li Zeguang, Liu Zhaoyuan, Wang Kan, Ma Tao   +5 more
doaj   +1 more source