Results 81 to 90 of about 1,407,468 (324)

Monte Carlo Option Princing

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

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

Status of Mercury and Imp: Two Monte Carlo Transport Codes Developed Using Shared Infrastructure at Lawrence Livermore National Laboratory

EPJ Nuclear Sciences & Technologies
The Monte Carlo Transport Project at Lawrence Livermore National Laboratory develops two Monte Carlo transport codes used in production by a sizable internal user community.
Pozulp Michael, Beck Bret, Bleile Ryan, Brantley Patrick, Dawson Shawn, Gentile Nick, Gonzalez Evan, Grondalski John, Lambert Michael, McKinley Michael, O’Brien Matthew, Procassini Richard, Richards David, Robinson Alex, Sepke Scott, Stevens David, Vega Richard, Yang Max   +17 more
doaj   +1 more source

Many-body electronic structure of LaScO3 by real-space quantum Monte Carlo [PDF]

, 2020
Cody Melton, Luboš Mitáš
openalex   +1 more source

The Effect of Amino Acids on the Formation of Amorphous Calcium Carbonate Nanoparticles

Advanced Functional Materials, EarlyView.
Biomineral formation often proceeds via the assembly of amorphous calcium carbonate (ACC) nanoparticles with narrow size distributions. Using in situ SAXS coupled to a stopped‐flow device, we follow synthetic ACC formation with a 10 ms time resolution and show that amino acids narrow the size distribution at low supersaturation, highlighting their key ...
Lucas Kuhrts, Hadar Shaked, Johanna Sklar, Almog Sulam, Iryna Polishchuk, Elena Prudnikov, Gouranga Manna, Michael Sztucki, Sylvain Prevost, Alexander Katsman, Boaz Pokroy   +10 more
wiley   +1 more source

Monte Carlo Eikonal Scattering

, 2012
Monte Carlo evaluation is used to calculate heavy-ion elastic scattering including the center-of-mass correction and the Coulomb interaction.Angular distributions are presented for a number of nuclear pairs over a wide energy range using nucleon-nucleon ...
A. G. Sitenko, A. G. Sitenko, A. M. Zadorozhny, A. M. Zadorozhny, D. M. Ceperley, G. D. Alkhazov, G. E. Brown, H. M. M. Mansour, J. P. Dedonder, L. A. Londratyuk, M. Abramowitz, M. Y. M. Hassan, R. J. Glauber, S. Wallace, W. R. Gibbs, W. R. Gibbs   +15 more
core   +1 more source

Electron–Matter Interactions During Electron Beam Nanopatterning

Advanced Functional Materials, EarlyView.
This article reviews the electron–matter interactions important to nanopatterning with electron beam lithography (EBL). Electron–matter interactions, including secondary electron generation routes, polymer radiolysis, and electron beam induced charging, are discussed.
Camila Faccini de Lima, Prathiba Thamizhavel, Taylor J. Woehl   +2 more
wiley   +1 more source

Wormhole Hamiltonian Monte Carlo

, 2014
In machine learning and statistics, probabilistic inference involving multimodal distributions is quite difficult. This is especially true in high dimensional problems, where most existing algorithms cannot easily move from one mode to another.
Lan, Shiwei, Shahbaba, Babak, Streets, Jeffrey   +2 more
core   +1 more source

In Materia Shaping of Randomness with a Standard Complementary Metal‐Oxide‐Semiconductor Transistor for Task‐Adaptive Entropy Generation

Advanced Functional Materials, EarlyView.
This study establishes a materials‐driven framework for entropy generation within standard CMOS technology. By electrically rebalancing gate‐oxide traps and Si‐channel defects in foundry‐fabricated FDSOI transistors, the work realizes in‐materia control of temporal correlation – achieving task adaptive entropy optimization for reinforcement learning ...
Been Kwak, Ryun‐Han Koo, Youngchan Cho, Changhyeon Han, Dongbin Kim, Soi Jeong, Yunho Shin, Joonhyeok Choi, Jiseong Im, Jonghyun Ko, Jong‐Ho Lee, Jangsaeng Kim, Youngho Kang, Wonjun Shin, Daewoong Kwon   +14 more
wiley   +1 more source

Random walks near Rokhsar-Kivelson points

, 2005
There is a class of quantum Hamiltonians known as Rokhsar-Kivelson(RK)-Hamiltonians for which static ground state properties can be obtained by evaluating thermal expectation values for classical models.
Fazekas P., Hetherington J. H., Ivanov D. A., Kalos M. H., Kivelson S. A., Leung P. W., Liu K. S., Nightingale M. P., OLAV F. SYLJUÅSEN, Sachdev S., Schmidt K. E., Syljuåsen O. F., Syljuåsen O. F., Syljuåsen O. F., Zhitomirsky M. E.   +14 more
core   +1 more source