When discussing research in physics and in science more generally, it is common to ascribe
equal importance to the three components of the scientific trinity: theoretical, experimental …

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 …

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 …

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 …

Machine learning is finding increasingly broad applications in the physical sciences. This
most often involves building a model relationship between a dependent, measurable output …