Results 31 to 40 of about 456,731 (293)

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

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

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

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

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

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

Treatment Decision‐Making Roles and Preferences Among Adolescents and Young Adults With Cancer

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Decision‐making (DM) dynamics between adolescents and young adults (AYAs) with cancer, parents, and oncologists remain underexplored in diverse populations. We examined cancer treatment DM preferences among an ethnically and socioeconomically diverse group of AYAs and their parents.
Amanda M. Gutierrez, Jill O. Robinson, Wendy A. Allen‐Rhoades, Hadley S. Smith, Isabel Canfield, Rebecca L. Hsu, Sarah R. Scollon, Lauren R. Desrosiers‐Battu, Nicole M. Schneider, Frank Y. Lin, Donald Williams Parsons, Sharon E. Plon, Mary A. Majumder, Janet Malek, Amy L. McGuire   +14 more
wiley   +1 more source

Comparison of Circuit Models for ML-Assisted Microwave Circuit Design

IEEE Journal of Microwaves
Machine-learning (ML) assisted microwave circuit design is an interesting complement to traditional topology-based design since it opens up previously unexplored design spaces that in some cases may offer better performance, or similar performance with a
Martin Sjodin, Oskar Talcoth, Haojie Chang, Han Zhou, Kristoffer Andersson   +4 more
doaj   +1 more source

Surrogate models for precessing binary black hole simulations with unequal masses [PDF]

, 2019
Only numerical relativity simulations can capture the full complexities of binary black hole mergers. These simulations, however, are prohibitively expensive for direct data analysis applications such as parameter estimation.
Blackman, Jonathan, Field, Scott E., Gerosa, Davide, Kidder, Lawrence E., Pfeiffer, Harald P., Scheel, Mark A., Stein, Leo C., Varma, Vijay   +7 more
core   +3 more sources

Improving the Evaluation and Management of Transfusion‐Related Iron Overload in Children, Adolescents, and Young Adults Following Cancer Treatment or Hematopoietic Stem Cell Transplantation

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Transfusion‐related iron overload (TRIO) is a late effect of therapy impacting survivors of childhood cancer and hematopoietic stem cell transplantation (HSCT) who receive frequent packed red blood cell (pRBC) transfusions. Surprisingly, there are no accepted guidelines to assist providers in identifying and treating at‐risk ...
Luke Gingell, Allison Close, Guoli Zhou, Troy C. Quigg   +3 more
wiley   +1 more source