Results 51 to 60 of about 22,195,649 (288)

Research on the hull form optimization using the surrogate models

Engineering Applications of Computational Fluid Mechanics, 2021
The ship hull form optimization using the Computational Fluid Dynamics (CFD) method is increasingly employed in the early design of a ship, as an optimal ship hull form can obtain good hydrodynamics.
Shenglong Zhang, T. Tezdogan, Bao-sheng Zhang, Ling Lin   +3 more
semanticscholar   +1 more source

Physics-regularized neural network of the ideal-MHD solution operator in Wendelstein 7-X configurations

Nuclear Fusion, 2023
The computational cost of constructing 3D magnetohydrodynamic (MHD) equilibria is one of the limiting factors in stellarator research and design. Although data-driven approaches have been proposed to provide fast 3D MHD equilibria, the accuracy with ...
Andrea Merlo, Daniel Böckenhoff, Jonathan Schilling, Samuel Aaron Lazerson, Thomas Sunn Pedersen, the W7-X Team   +5 more
doaj   +1 more source

Enhancing Cooperative Coevolution for Large Scale Optimization by Adaptively Constructing Surrogate Models

, 2018
It has been shown that cooperative coevolution (CC) can effectively deal with large scale optimization problems (LSOPs) through a divide-and-conquer strategy.
Chen, An, Liang, Yongsheng, Pang, Bei, Ren, Zhigang   +3 more
core   +1 more source

Mining gold from implicit models to improve likelihood-free inference [PDF]

, 2019
Simulators often provide the best description of real-world phenomena. However, they also lead to challenging inverse problems because the density they implicitly define is often intractable.
Brehmer, Johann, Cranmer, Kyle, Louppe, Gilles, Pavez, Juan   +3 more
core   +1 more source

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   +1 more source

Data analysis-based framework for the design and assessment of chemical process plants: a case study in amine gas-treating systems

Frontiers in Chemical Engineering
This work presents a process-integrity assessment framework to chemical process design that combines first principles, heuristics, vendor specifications, standards/codes, data analysis, and machine learning modelling, hypothesized as an efficient route ...
Rahul Gupta, Gladys Navas, Daniela Galatro   +2 more
doaj   +1 more source

An architecture for efficient gravitational wave parameter estimation with multimodal linear surrogate models [PDF]

, 2017
The recent direct observation of gravitational waves has further emphasized the desire for fast, low-cost, and accurate methods to infer the parameters of gravitational wave sources.
Blackman, Jonathan, Field, Scott E., O'Shaughnessy, Richard   +2 more
core   +2 more sources

Psychosocial Outcomes in Patients With Endocrine Tumor Syndromes: A Systematic Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction The combination of disease manifestations, the familial burden, and varying penetrance of endocrine tumor syndromes (ETSs) is unique. This review aimed to portray and summarize available data on psychosocial outcomes in patients with ETSs and explore gaps and opportunities for future research and care.
Daniël Zwerus, Floortje Strobbe, Annemarie A. Verrijn Stuart, Hanneke M. van Santen, Gerlof D. Valk, Sasja A. Schepers, Rachel S. van Leeuwaarde   +6 more
wiley   +1 more source

Study on the impact of uncertain design parameters on the performances of a permanent magnet-assisted synchronous reluctance motor

Science and Technology for Energy Transition
In this paper, deterministic and robust design optimizations of a permanent magnet-assisted synchronous reluctance motor were performed to study the impact of different uncertain input parameters on the design.
Reyes Adán Reyes, Nasr André, Sinoquet Delphine, Hlioui Sami   +3 more
doaj   +1 more source

Survival for Children Diagnosed With Wilms Tumour (2012–2022) Registered in the UK and Ireland Improving Population Outcomes for Renal Tumours of Childhood (IMPORT) Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background The Improving Population Outcomes for Renal Tumours of childhood (IMPORT) is a prospective clinical observational study capturing detailed demographic and outcome data on children and young people diagnosed with renal tumours in the United Kingdom and the Republic of Ireland.
Naomi Ssenyonga, Angela Lopez‐Cortes, Reem Al‐Saadi, Suzanne Tugnait, Kristina Dzhuma, Catriona Duncan, Gordan Vujanic, Tanzina Chowdhury, Claudia Allemani, Michel P. Coleman, Kathy Pritchard‐Jones, the Children's Cancer and Leukaemia Group (CCLG) Renal Tumour Special Interest Group, Hugh Bishop, Anthony McCarthy, Pamela Kearns, Helen Rees, Amos Burke, Meriel Jenney, Jane Pears, Hamish Wallace, Milind Ronghe, Tanzina Chowdhury, Susan Picton, Emma Ross, Lisa Howell, Bernadette Brennan, Gail Halliday, Richard Grundy, Shaun Wilson, Sucheta Vaidya, Daniel Yeomanson, Jessica Bate, Vesna Pavasovic, Jessica Bate, Sabine Irtan, Jesper Brok, Minou Oostveen, Kristina Dzhuma, Mark Weeks, Richard Williams, Mark Powis, Max Pachl, Bruce Okoye, Naima Smeulders, Gordan Vujanic, Oystein Olsen, Tom Watson, Susan Shelmerdine, Dan Saunders, Angela Lopez-Cortes, Taryn Treger, Tom Jackson, Suzanne Tugnait, Lisa Howell, Tanzina Chowdhury, Sam Behjati, Angela Polanco   +56 more
wiley   +1 more source