Introduction To Multidisciplinary Science With Artificial Intelligence
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Introduction to Multidisciplinary Science with Artificial Intelligence
The book is about multidisciplinary science education. The challenges of our time, such as improving the length and quality of lives on Earth and short- and long-distance communication and transportation. In this book, we provide readers with the multidisciplinary education necessary to meet the scientific and technological challenges of our time while optimizing the college experience for students. The fundamental notions addressed in this book include gravitational forces and energy; dark matter and dark energy; heat transfer in solid Earth, stars’ interiors, and human bodies; electromagnetic radiation and spectroscopy; quantum entanglement and computing; accretion disks; matter in plasma state; and exoplanets. We illustrate the importance of these notions with applications across disciplines, including monitoring the deformation of the solid Earth’s surface using satellite measurements, unusual gravity anomalies in Antarctica, a view and characterization of the far side of our Moon, Earth’s climate, Titan’s anti-greenhouse effect, long-distance communication between Earth and the planets and exoplanets, etc. Finally, the book contains analytical and computational problems, including MATLAB software developed especially for the classes associated with this book. Key Features: • Contains multiple analytic and computational (MATLAB) exercises • Explores applications related to space programs' discoveries • Provides an accessible introduction and response to growing Multidisciplinary Science programs Dr. Luc Thomas Ikelle is a scientist with Imode Energy. He is also currently an adjunct professor in the Department of Geology and Geophysics at Texas A&M University. Previously, he worked at Cray Research Inc. in Minneapolis, developing 3D seismic inversion algorithms for CRAY Y-PM. From 1988 to 1997, he worked as a scientist for Schlumberger Geco-Prakla, Schlumberger Doll Research, and Schlumberger Cambridge Research. From 1997 to 2014, Dr. Ikelle was Robert R. Berg Professor in the Department of Geology and Geophysics at Texas A&M University. He earned a Ph.D. in geophysics and geochemistry from Paris 7 University in France. He received Le Prix de Thesis du CNRS in 1986 for his Ph.D. thesis, an SEG award in 2010 for his contribution to the creation of Geoscientists Without Borders, and a Texas AM University award as an outstanding scientist in 2012. He is a cofounder of Geoscientists Without Borders and of Imode Energy Research, and a member of SEG, AGU, and APS. Dr. Ikelle has worked as a DOE (US Department of Energy) special employer from 2005 to 2012 and was a member of Ultra-Deepwater Advisory Committee (an advisory committee to the Secretary of Energy) from 2005 to 2012.
Introduction to Multidisciplinary Science with Artificial Intelligence
"Technological developments and advances in scientific research have enabled the cross-fertilization of scientific disciplines. This book aims to provide readers with the tools necessary to address scientific and technological challenges in astronomy and space exploration. It explores gravity, the structure of the Earth and stars, spectroscopy of molecules, minerals, and stars, in addition to the accretion of stars and exoplanets and identification of Earth-like exoplanets. It also explores topics closer to home, geodesy, climate change, quantum computing and quantum entanglement, electricity in the human body and ground, and plasma as form of matter. Chapters include multiple exercises and advanced computer exercises, enabling readers to better understand and contribute to the resolution of current scientific and technological challenges. The book can serve as a practical guidebook for students studying astronomy and astrophysics, alongside general physics, chemistry and biology modules and multidisciplinary courses in science education"--
Introduction to Multidisciplinary Science in an Artificial-Intelligence Age: Geodesy, Geotherms, Spectroscopy, and Spontaneous Electricity
This book covers the materials of multiple current programs in a short space because these programs include huge duplications that we have avoided here. They also unnecessarily over-elaborate on some materials, which are actually just examples, exercises, or applications of a given topic, another issue avoided in this text.