[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 …

Ab initio predictions link the neutron skin of 208Pb to nuclear forces

B Hu, W Jiang, T Miyagi, Z Sun, A Ekström, C Forssén… - Nature Physics, 2022 - nature.com
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 …

Revisiting Antarctic ice loss due to marine ice-cliff instability

TL Edwards, MA Brandon, G Durand, NR Edwards… - Nature, 2019 - nature.com
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 …

Bayesian demography 250 years after Bayes

J Bijak, J Bryant - Population studies, 2016 - Taylor & Francis
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 …

Analyzing stochastic computer models: A review with opportunities

E Baker, P Barbillon, A Fadikar, RB Gramacy… - Statistical …, 2022 - projecteuclid.org
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 …

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 …

Get on the BAND wagon: a Bayesian framework for quantifying model uncertainties in nuclear dynamics

DR Phillips, RJ Furnstahl, U Heinz, T Maiti… - Journal of Physics G …, 2021 - iopscience.iop.org
We describe the Bayesian analysis of nuclear dynamics (BAND) framework, a
cyberinfrastructure that we are develo** which will unify the treatment of nuclear models …

A chronicle of galaxy mass assembly in the EAGLE simulation

Y Qu, JC Helly, RG Bower, T Theuns… - Monthly Notices of …, 2017 - academic.oup.com
We analyse the mass assembly of central galaxies in the Evolution and Assembly of
Galaxies and their Environments (EAGLE) hydrodynamical simulations. We build merger …

Global sensitivity analysis of bulk properties of an atomic nucleus

A Ekström, G Hagen - Physical Review Letters, 2019 - APS
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 …

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 …