[BOOK][B] Surrogates: Gaussian process modeling, design, and optimization for the applied sciences
RB Gramacy - 2020 - taylorfrancis.com
Computer simulation experiments are essential to modern scientific discovery, whether that
be in physics, chemistry, biology, epidemiology, ecology, engineering, etc. Surrogates are …
be in physics, chemistry, biology, epidemiology, ecology, engineering, etc. Surrogates are …
Ab initio predictions link the neutron skin of 208Pb to nuclear forces
Heavy atomic nuclei have an excess of neutrons over protons, which leads to the formation
of a neutron skin whose thickness is sensitive to details of the nuclear force. This links …
of a neutron skin whose thickness is sensitive to details of the nuclear force. This links …
Revisiting Antarctic ice loss due to marine ice-cliff instability
Predictions for sea-level rise this century due to melt from Antarctica range from zero to more
than one metre. The highest predictions are driven by the controversial marine ice-cliff …
than one metre. The highest predictions are driven by the controversial marine ice-cliff …
Bayesian demography 250 years after Bayes
Bayesian statistics offers an alternative to classical (frequentist) statistics. It is distinguished
by its use of probability distributions to describe uncertain quantities, which leads to elegant …
by its use of probability distributions to describe uncertain quantities, which leads to elegant …
Analyzing stochastic computer models: A review with opportunities
Analyzing Stochastic Computer Models: A Review with Opportunities Page 1 Statistical
Science 2022, Vol. 37, No. 1, 64–89 https://doi.org/10.1214/21-STS822 © Institute of …
Science 2022, Vol. 37, No. 1, 64–89 https://doi.org/10.1214/21-STS822 © Institute of …
First observation of 28O
Y Kondo, NL Achouri, HA Falou, L Atar, T Aumann… - Nature, 2023 - nature.com
Subjecting a physical system to extreme conditions is one of the means often used to obtain
a better understanding and deeper insight into its organization and structure. In the case of …
a better understanding and deeper insight into its organization and structure. In the case of …
Get on the BAND wagon: a Bayesian framework for quantifying model uncertainties in nuclear dynamics
We describe the Bayesian analysis of nuclear dynamics (BAND) framework, a
cyberinfrastructure that we are develo** which will unify the treatment of nuclear models …
cyberinfrastructure that we are develo** which will unify the treatment of nuclear models …
A chronicle of galaxy mass assembly in the EAGLE simulation
We analyse the mass assembly of central galaxies in the Evolution and Assembly of
Galaxies and their Environments (EAGLE) hydrodynamical simulations. We build merger …
Galaxies and their Environments (EAGLE) hydrodynamical simulations. We build merger …
Global sensitivity analysis of bulk properties of an atomic nucleus
We perform a global sensitivity analysis of the binding energy and the charge radius of the
nucleus O 16 to identify the most influential low-energy constants in the next-to-next-to …
nucleus O 16 to identify the most influential low-energy constants in the next-to-next-to …
Process‐based climate model development harnessing machine learning: I. A calibration tool for parameterization improvement
F Couvreux, F Hourdin, D Williamson… - Journal of Advances …, 2021 - Wiley Online Library
The development of parameterizations is a major task in the development of weather and
climate models. Model improvement has been slow in the past decades, due to the difficulty …
climate models. Model improvement has been slow in the past decades, due to the difficulty …