Methods and Applications of Autonomous Experimentation

Methods and Applications of Autonomous Experimentation portes grátis

Methods and Applications of Autonomous Experimentation

Ushizima, Daniela; Noack, Marcus

Taylor & Francis Ltd

12/2023

402

Dura

Inglês

9781032314655

15 a 20 dias

Descrição não disponível.
Preface

Contributors

Chapter 1 Autonomous Experimentation in Practice
Kevin G. Yager

Chapter 2 A Friendly Mathematical Perspective on Autonomous Experimentation
Marcus M. Noack

Chapter 3 A Perspective on Machine Learning for Autonomous Experimentation
Joshua Schrier and Alexander J. Norquist

Chapter 4 Gaussian Processes
Marcus M. Noack

Chapter 5 Uncertainty Quantification
Mark D. Risser and Marcus M. Noack

Chapter 6 Surrogate Model Guided Optimization
Juliane Mueller

Chapter 7 Artificial Neural Networks
Daniela Ushizima

Chapter 8 NSLS2
Philip M. Maffettone, Daniel B. Allan, Andi Barbour, Thomas A. Caswell, Dmitri Gavrilov, Marcus D. Handwell, Thomas Morris, Daniel Olds, Maksim Rakitin, Stuart I. Campbell and Bruce Ravel

Chapter 9 Reinforcement Learning
Yixuan Sun, Krishnan Raghavan and Prasanna Balaprakash

Chapter 10 Applications of Autonomous Methods to Synchrotron X-ray Scattering and Diffraction Experiments
Masafumi Fukuto, Yu-Chen Wiegart, Marcus M. Noack and Kevin G. Yager

Chapter 11 Autonomous Infrared Absorption Spectroscopy
Hoi-Ying Holman, Steven Lee, Liang Chen, Petrus H. Zwart and Marcus M. Noack

Chapter 12 Autonomous Hyperspectral Scanning Tunneling Spectroscopy
Antonio Rossi, Darian Smalley, Masahiro Ishigami, Eli Rotenberg, Alexander Weber-Barigoni and John C. Thomas

Chapter 13 Autonomous Control and Analyses of Fabricated Ecosystems
Trent R. Northern, Peter Andeer, Marcus M. Noack, Ptrus H. Zwart and Daniela Ushizima

Chapter 14 Autonomous Neutron Experiments
Martin Boehm, David E. Perryman, Alessio De Francesco, Luisa Scaccia, Alessandro Cunsolo, Tobias Weber, Yannick LeGoc and Paolo Mutti

Chapter 15 Material Discovery in Poorly Explored High-Dimensional Targeted Spaces
Suchismita Sarker and Apurva Mehta

Chapter 16 Autonomous Optical Microscopy for Exploring Nucleation and Growth of DNA Crystals
Aaron N. Michelson

Chapter 17 Constratined Autonomous Modelin of Metal-Mineral Adsorption
Elliot Chang, Linda Beverly and Haruko Wainwright

Chapter 18 Physics-In-The-Loop
Aaron Gilad Kusne

Chapter 19 A Closed Loop of Diverse Disciplines
Marucs M. Noack and Kevin G. Yager

Chapter 20 Analysis of Raw Data
Marcus M. Noack and Kevin G. Yager

Chapter 21 Autonomous Intelligent Decision Making
Marcus M. Noack and Kevin G. Yager

Chapter 22 Data Infrastructure
Marcus M. Noack and Kevin G. Yager

Bibliography

Index
scientific automation;experimental optimisation;machine learning integration;surrogate modelling;uncertainty quantification;reinforcement learning science;closed-loop experimental design