Results 81 to 90 of about 389,041 (190)
High-precision regressors for particle physics
Monte Carlo simulations of physics processes at particle colliders like the Large Hadron Collider at CERN take up a major fraction of the computational budget.
Fady Bishara, Ayan Paul, Jennifer Dy
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The computational expense of solving non-equilibrium chemistry equations in astrophysical simulations poses a significant challenge, particularly in high-resolution, large-scale cosmological models.
Pelle van de Bor +3 more
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Optimize Gate-All-Around Devices Using Wide Neural Network-Enhanced Bayesian Optimization
Device design processes based on manual design experience require numerous experiments and simulations. As transistors continue to shrink, complex physical effects, such as quantum effects intensify, making the design process increasingly costly, whether
Jiaye Shen, Zhiqiang Li, Zhenjie Yao
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Non-adiabatic molecular dynamics (NAMD) simulations have become an indispensable tool for investigating excited-state dynamics in solids. In this work, we propose a general framework, N2AMD (Neural-Network Non-Adiabatic Molecular Dynamics), which employs
Changwei Zhang +9 more
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Comparing neural simulations by neural density estimation
Jan Boelts +4 more
openaire +1 more source
Predictive simulations of postural control: exploring the role of signal noise and neural delays in Parkinson's disease. [PDF]
Shanbhag J +8 more
europepmc +1 more source
Polydopamine-doped PEDOT interfaces improve cell-electrode interactions and neural signal transmission. [PDF]
Ahmadi Seyedkhani S +5 more
europepmc +1 more source
Predictive Quantum Vibrational Spectra through Active Learning 4G-NNPs. [PDF]
Faruque MO +3 more
europepmc +1 more source
Accounting for sensitivity of latent learning to behavioral statistics with successor representations. [PDF]
Menezes M, Zeng X, Cheng S.
europepmc +1 more source

