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pro vyhledávání: '"SCIENCE / Chemistry / General"'
This open access book provides a totally new perspective on the rapidly developing sector of electrochemical energy storage, putting a spotlight on their sustainability under consideration of the latest developments and emerging future technologies.
Autor:
William B. Tucker
With a focus on organic chemistry students at all levels, problems are incorporated into the body of the text in an effort to engage students more directly in chemistry. Arrowless mechanisms seek to help students develop their electron-pushing skills
Autor:
William B. Tucker
Providing a holistic overview of general chemistry and its foundational principles, this textbook is an essential accompaniment to students entering the field. It is designed with the reader in mind, presenting the historical development of ideas to
In this book, key experts in the field of total synthesis of natural products in Japan describe the details of their synthesis routes including unexpected reactions and syntheses. By presenting detailed stories behind the total synthesis developments
The objective of this open access book is to present protocols, methodologies, and standard operating procedures (SOPs) used for the identification of sources, transport, and fate of agro-contaminants and illustrate them with several case studies of
Autor:
Katharina Morik, Wolfgang Rhode
Machine Learning under Resource Constraints addresses novel machine learning algorithms that are challenged by high-throughput data, by high dimensions, or by complex structures of the data in three volumes. Resource constraints are given by the rela
Autor:
David Huston, Jens Gutzmer
This open access book documents the use of radiogenic and stable isotopes to study mineral deposits from a global to the deposit scale. It includes data-sets that have been directly used in mineral exploration. Isotopic data have been key to developi
Autor:
Waldemar Nyström
This book is a collection of four chapters which review the future prospects of biorefineries. Chapter One is a review of the future of biorefineries from a circular economic perspective. Chapter Two is a prospective analysis of the challenges which
Machine Learning under Resource Constraints addresses novel machine learning algorithms that are challenged by high-throughput data, by high dimensions, or by complex structures of the data in three volumes. Resource constraints are given by the rela