Dakota, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis: version 6.13 …
The Dakota toolkit provides a flexible and extensible interface between simulation codes
and iterative analysis methods. Dakota contains algorithms for optimization with gradient …
and iterative analysis methods. Dakota contains algorithms for optimization with gradient …
[HTML][HTML] Agent-based models of groundwater systems: A review of an emerging approach to simulate the interactions between groundwater and society
Understanding how society can address and mitigate threats to groundwater sustainability
remains a pressing challenge in the Anthropocene era. This article presents the first …
remains a pressing challenge in the Anthropocene era. This article presents the first …
[HTML][HTML] Uqpy v4. 1: Uncertainty quantification with python
This paper presents the latest improvements introduced in Version 4 of the UQpy,
Uncertainty Quantification with Python, library. In the latest version, the code was …
Uncertainty Quantification with Python, library. In the latest version, the code was …
Integrating advanced modeling and accelerated testing for a modernized fuel qualification paradigm
With the increasing interest in sodium fast reactor technology, as seen by applications to the
US Nuclear Regulatory Commission for the OKLO Aurora plant, fuel testing for the …
US Nuclear Regulatory Commission for the OKLO Aurora plant, fuel testing for the …
Sensitivity and uncertainty analysis for natural gas hydrate production tests in Alaska
C Nakajima, H Ouchi, M Tamaki, K Akamine… - Energy & …, 2022 - ACS Publications
The Japan Research and Development Consortium for Pore Filling Hydrate in Sand (MH21-
S), the US Department of Energy National Energy Technology Laboratory (DOE NETL), and …
S), the US Department of Energy National Energy Technology Laboratory (DOE NETL), and …
Assessing thermophysical properties of parameterized woven composite models using image-based simulations
Mesoscale simulations of woven composites using parameterized analytical geometries
offer a way to connect constituent material properties and their geometric arrangement to …
offer a way to connect constituent material properties and their geometric arrangement to …
Sensitivity of UO2 fuel performance to microstructural evolutions driven by dilute additives
Use of dilute additives to nuclear fuel is being considered to increase the security of
commercial fuel management through traceability of fabricated fuel elements. Taggants, as …
commercial fuel management through traceability of fabricated fuel elements. Taggants, as …
Anti-carla: An adversarial testing framework for autonomous vehicles in carla
Despite recent advances in autonomous driving systems, accidents such as the fatal Uber
crash in 2018 show these systems are still susceptible to edge cases. Such systems must be …
crash in 2018 show these systems are still susceptible to edge cases. Such systems must be …
Model-to-model Bayesian calibration of a Chemical Reactor Network for pollutant emission predictions of an ammonia-fuelled multistage combustor
Abstract Low-fidelity, cost-effective, physics-based models are useful for assessing the
environmental performance of novel combustion systems, especially those utilizing …
environmental performance of novel combustion systems, especially those utilizing …
A predictive discrete-continuum multiscale model of plasticity with quantified uncertainty
Multiscale models of materials, consisting of upscaling discrete simulations to continuum
models, are unique in their capability to simulate complex materials behavior. The …
models, are unique in their capability to simulate complex materials behavior. The …