Data-driven science and technology offer transformative tools and methods to science. This review article highlights the latest development and progress in the interdisciplinary field of …
In this paper, a novel, automated process for constructing and initializing deep feedforward neural networks based on decision trees is presented. The proposed algorithm maps a …
Computer simulations are invaluable tools for scientific discovery. However, accurate simulations are often slow to execute, which limits their applicability to extensive parameter …
RG McClarren, P McClarren, R Penrose - 2018 - Springer
This book began as a collection of notes from a class on “predictive science” that I started teaching in 2009 at Texas A&M University. Initially, the course was in the statistics …
Computer models of inertial confinement fusion (ICF) implosions play an essential role in experimental design and interpretation as well as our understanding of fundamental physics …
Computational models can define the functional dynamics of complex systems in exceptional detail. However, many modeling studies face seemingly incommensurate …
Inertial confinement fusion (ICF) experiments are designed using computer simulations that are approximations of reality and therefore must be calibrated to accurately predict …
JL Kline, SH Batha, LR Benedetti, D Bennett… - Nuclear …, 2019 - iopscience.iop.org
Indirect drive converts high power laser light into x-rays using small high-Z cavities called hohlraums. X-rays generated at the hohlraum walls drive a capsule filled with deuterium …
BK Spears, J Brase, PT Bremer, B Chen, J Field… - Physics of …, 2018 - pubs.aip.org
Machine learning is finding increasingly broad applications in the physical sciences. This most often involves building a model relationship between a dependent, measurable output …