Results 271 to 280 of about 23,025 (301)

Bilayer TMDs for Future FETs: Carrier Dynamics and Device Implications. [PDF]

Nanomaterials (Basel)
Mansoori S, Chen E, Fischetti M.
europepmc   +1 more source

Generalized Probabilistic Approximate Optimization Algorithm. [PDF]

Nat Commun
Abdelrahman AS, Chowdhury S, Morone F, Camsari KY.   +3 more
europepmc   +1 more source

Optimization of ^99mTc-SPECT in the presence of ⁹⁰Y for radioembolization. [PDF]

EJNMMI Phys
Kerckhaert CEM, Dietze MMA, van Rooij R, Meddens MBM, Wijnen N, Smits MLJ, Lam MGEH, de Jong HWAM.   +7 more
europepmc   +1 more source

Simulation of Radiation Chemistry by a One-Shot Hybrid Continuum / Monte Carlo Method [PDF]

Charlie Fynn Perkins, Marcus Webb, Fred J. Currell   +2 more
openalex  

Reliability analysis of inverted exponentiated Rayleigh parameters via progressive hybrid censoring data with applications in medical data. [PDF]

PLoS One
Nassr SG, Abo-Kasem OE, Khashab RH, Alshawarbeh E, Alshqaq SS, Elharoun NM.   +5 more
europepmc   +1 more source

Selective Nonthermal Melting in Phlogopite under Ultrafast Energy Deposition. [PDF]

J Phys Chem C Nanomater Interfaces
Medvedev N.
europepmc   +1 more source

Rational hybrid Monte Carlo algorithm

, 2005
openaire   +1 more source

Confidence-guided cryo-EM map optimisation with LocScale-2.0

Bharadwaj A, de Bruin R, Jakobi AJ.
europepmc   +1 more source

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Hybrid Monte Carlo Micromagnetics

IEEE Transactions on Magnetics, 2018
In the past years, we developed a new hybrid Monte Carlo (HMC) micromagnetic (MuMag) method that is capable to calculate the magnetic properties at finite temperature. Recently, we have tested more basic characteristics of the HMC MuMag method; furthermore, the HMC MuMag method has been applied to solve the $M$ – $H$ loops and magnetic ...
Dan Wei, Junjie Song, Chuan Liu
openaire   +1 more source

Tuning the hybrid Monte Carlo algorithm

Physical Review D, 1988
We apply the hybrid Monte Carlo algorithm to pure gauge QCD and to QCD with four flavors of staggered dynamical fermions. We show how the acceptance in the global Metropolis step depends upon the parameters of the algorithm. By tuning the values of the coupling constants in the algorithm to be different from those in the global Metropolis step, we find
, Gupta, , Kilcup, , Sharpe
openaire   +2 more sources