Results 11 to 20 of about 3,450,202 (313)

Large-Scale Simulation of Quantum Computational Chemistry on a New Sunway Supercomputer [PDF]

open access: yesInternational Conference for High Performance Computing, Networking, Storage and Analysis, 2022
Quantum computational chemistry (QCC) is the use of quantum computers to solve problems in computational quantum chemistry. We develop a high performance variational quantum eigensolver (VQE) simulator for simulating quantum computational chemistry ...
Honghui Shang   +13 more
semanticscholar   +1 more source

Network dynamics with BrainX(3): a large-scale simulation of the human brain network with real-time interaction. [PDF]

open access: yesFront Neuroinform, 2015
BrainX3 is a large-scale simulation of human brain activity with real-time interaction, rendered in 3D in a virtual reality environment, which combines computational power with human intuition for the exploration and analysis of complex dynamical ...
Arsiwalla XD   +7 more
europepmc   +2 more sources

A fast unsmoothed aggregation algebraic multigrid framework for the large-scale simulation of incompressible flow

open access: yesACM Transactions on Graphics, 2022
Multigrid methods are quite efficient for solving the pressure Poisson equation in simulations of incompressible flow. However, for viscous liquids, geometric multigrid turned out to be less efficient for solving the variational viscosity equation.
Han Shao, Libo Huang, D. Michels
semanticscholar   +1 more source

Hermes: Enabling efficient large-scale simulation in MATSim

open access: yesANT/EDI40, 2021
Large scale simulations of transportation networks can yield highly valuable insights into the design decisions needed to deliver the best possible transportation service.
D. Graur   +6 more
semanticscholar   +1 more source

Locally induced Gaussian processes for large-scale simulation experiments [PDF]

open access: yesStatistics and computing, 2020
Gaussian processes (GPs) serve as flexible surrogates for complex surfaces, but buckle under the cubic cost of matrix decompositions with big training data sizes.
D. Cole, R. Christianson, R. Gramacy
semanticscholar   +1 more source

ScenarioNet: Open-Source Platform for Large-Scale Traffic Scenario Simulation and Modeling [PDF]

open access: yesNeural Information Processing Systems, 2023
Large-scale driving datasets such as Waymo Open Dataset and nuScenes substantially accelerate autonomous driving research, especially for perception tasks such as 3D detection and trajectory forecasting.
Quanyi Li   +6 more
semanticscholar   +1 more source

Exploring large-scale entanglement in quantum simulation [PDF]

open access: yesNature, 2023
On a 51-ion quantum simulator, we investigate locality of entanglement Hamiltonians for a Heisenberg chain, demonstrating Bisognano–Wichmann predictions of quantum field theory applied to lattice many-body systems, and observe the transition from area ...
M. Joshi   +7 more
semanticscholar   +1 more source

A survey on VV&A of large-scale simulations [PDF]

open access: yesInternational Journal of Crowd Science, 2019
PurposeSimulation is a well-known technique for using computers to imitate or simulate the operations of various kinds of real-world facilities or processes. The facility or process of interest is usually called a system, and to study it scientifically, we often have to make a set of assumptions about how it works. These assumptions, which usually take
Yanan Wang 0006   +5 more
openaire   +2 more sources

Holocene temperature response to external forcing: assessing the linear response and its spatial and temporal dependence [PDF]

open access: yesClimate of the Past, 2019
Previous studies show that the evolution of global mean temperature forced by the total forcing is almost the same as the sum of individual orbital, ice sheet, greenhouse gas and meltwater single forcing runs in the last 12 000 years in three ...
L. Wan   +9 more
doaj   +1 more source

Fast simulation of large‐scale growth models [PDF]

open access: yesRandom Structures & Algorithms, 2011
AbstractWe give an algorithm that computes the final state of certain growth models without computing all intermediate states. Our technique is based on a “least action principle” which characterizes the odometer function of the growth process. Starting from an approximation for the odometer, we successively correct under‐ and overestimates and ...
Tobias Friedrich 0001, Lionel Levine
openaire   +4 more sources

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