Results 11 to 20 of about 461,664 (195)

Surrogate models for linear response

Physical Review Research
Linear response theory is a well-established method in physics and chemistry for exploring excitations of many-body systems. In particular, the quasiparticle random-phase approximation (QRPA) provides a powerful microscopic framework by building ...
L. Jin, A. Ravlić, P. Giuliani, K. Godbey, W. Nazarewicz   +4 more
doaj   +3 more sources

A surrogate FRAX model for Pakistan [PDF]

Archives of Osteoporosis, 2021
Abstract Summary A surrogate FRAX® model for Pakistan has been constructed using age-specific hip fracture rates for Indians living in Singapore and age-specific mortality rates from Pakistan.
Naureen, G., Johansson, H., Iqbal, R., Jafri, L., Khan, A.H., Umer, M., Liu, E., Vandenput, L., Lorentzon, M., Harvey, N.C., McCloskey, E.V., Kanis, J.A.   +11 more
openaire   +6 more sources

Dynamical model of surrogate reactions [PDF]

Physical Review C, 2011
17 pages, 5 ...
Y. Aritomo, S. Chiba, K. Nishio
openaire   +2 more sources

Classical Surrogates for Quantum Learning Models

Physical Review Letters, 2023
The advent of noisy intermediate-scale quantum computers has put the search for possible applications to the forefront of quantum information science. One area where hopes for an advantage through near-term quantum computers are high is quantum machine learning, where variational quantum learning models based on parametrized quantum circuits are ...
Franz J. Schreiber, Jens Eisert, Johannes Jakob Meyer   +2 more
openaire   +3 more sources

Kernel Methods for Surrogate Modeling

CoRR, 2019
This chapter deals with kernel methods as a special class of techniques for surrogate modeling. Kernel methods have proven to be efficient in machine learning, pattern recognition and signal analysis due to their flexibility, excellent experimental performance and elegant functional analytic background.
Santin G., Haasdonk B.
openaire   +2 more sources

Grid Enabled Surrogate Modeling [PDF]

, 2009
The simulation and optimization of complex systems is a very time consuming and computationally intensive task. Therefore, global surrogate modeling methods are often used for the efficient exploration of the design space, as they reduce the number of simulations needed.
Gorissen, Dirk, Dhaene, Tom, Demeester, Piet, Broeckhove, Jan   +3 more
openaire   +3 more sources

Pre-training method in the tasks of obtaining surrogate models of gas turbine units for gas turbine electric power stations [PDF]

E3S Web of Conferences, 2023
This article focuses on the application of pre-training methods in the task of synthesizing surrogate models. The article emphasizes that pre-training significantly improves the accuracy of surrogate models and speeds up their creation process.
Kilin Grigory, Kavalerov Boris, Suslov Artem, Tyatenkov Ilya   +3 more
doaj   +1 more source

Uncertainty Handling in Structural Damage Detection via Non-Probabilistic Meta-Models and Interval Mathematics, a Data-Analytics Approach

Applied Sciences, 2021
Recent advancements in sensor technology have resulted in the collection of massive amounts of measured data from the structures that are being monitored.
Ramin Ghiasi, Mohammad Noori, Wael A. Altabey, Ahmed Silik, Tianyu Wang, Zhishen Wu   +5 more
doaj   +1 more source

GTApprox: Surrogate modeling for industrial design [PDF]

Advances in Engineering Software, 2016
31 pages, 11 ...
Mikhail Belyaev, Evgeny Burnaev, Ermek Kapushev, Maxim Panov, Pavel V. Prikhodko, Dmitry P. Vetrov, Dmitry Yarotsky   +6 more
openaire   +2 more sources

Simulation of the Oxidation and Combustion of Mixed Diesel-Biodiesel Fuel

MATEC Web of Conferences, 2018
A comparative simulation-based research has been set up to obtain valid kinetic models of the oxidation and combustion of biodiesel surrogate and diesel surrogate, as well as mixed diesel-biodiesel surrogates which is used to predict their ignition delay
Muharam Yuswan, Leonardi Danny, Ramadhania Alisya P   +2 more
doaj   +1 more source