Energy Materials Discovery

Author : Geoffrey A Ozin,Joel Y Y Loh
Publisher : Royal Society of Chemistry
Page : 465 pages
File Size : 55,9 Mb
Release : 2022-06-13
Category : Science
ISBN : 9781839163845

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Energy Materials Discovery by Geoffrey A Ozin,Joel Y Y Loh Pdf

Materials have the potential to be the centrepiece for the transition to viable renewable energy technologies if they realise a specific suite of properties and achieve a desired set of performance metrics. The envisioned transition involves the discovery of materials that enable generation, conversion, storage, transmission, and utilization of renewable energy. This book presents, through the eye of materials chemistry, an umbrella view of the myriad of classes of materials that make renewable energy technologies work. They are poised to facilitate the transition of non-renewable and unsustainable energy systems of the past into renewable and sustainable energy systems of the future. It is a story that often begins in chemistry laboratories with the discovery of new energy materials. Yet, to displace materials in existing energy technologies with new ones, depends not only on the ability to design and engineer a superior set of performance metrics for the material and the technology but also the requirement to meet a demanding collection of economic, regulatory, social, policy, environmental and sustainability criteria. Disruption in the traditional way of discovering materials is coming with the emergence of artificial intelligence, machine learning and robotic automation designed to accelerate the well-established discovery process, massive libraries of materials can be evaluated and the possibilities are endless. This book provides a perspective on the application of these new technologies to this field as well as an overview of energy materials discovery in the broader techno-economic and social context. Any budding researcher or more experienced materials scientist will find a guide to a fascinating story of discovery and emerge with a vision of what is next.

Author : Inamuddin,Maha Khan,Jafar Mazumder
Publisher : Materials Research Forum LLC
Page : 147 pages
File Size : 41,9 Mb
Release : 2023-07-05
Category : Technology & Engineering
ISBN : 9781644902523

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Application of Artificial Intelligence in New Materials Discovery by Inamuddin,Maha Khan,Jafar Mazumder Pdf

The book is concerned with the use of Artificial Intelligence in the discovery, production and application of new engineering materials. Topics covered include nano-robots. data mining, solar energy systems, materials genomics, polymer manufacturing, and energy conversion issues. Keywords: Artificial Intelligence, Mathematical Models, Machine Learning, Artificial Neural Networks, Bayesian Analysis, Vector Machines, Heuristics, Crystal Structure, Component Prediction, Process Optimization, Density Functional Theory, Monitoring, Classification, Nano-Robots, Data Mining, Solar Photovoltaics, Renewable Energy Systems, Alternative Energy Sources, Material Genomics, Polymer Manufacturing, Energy Conversion.

Author : Artem Oganov,Gabriele Saleh,Alexander Kvashnin
Publisher : Royal Society of Chemistry
Page : 456 pages
File Size : 51,5 Mb
Release : 2018-10-30
Category : Science
ISBN : 9781782629610

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Computational Materials Discovery by Artem Oganov,Gabriele Saleh,Alexander Kvashnin Pdf

New technologies are made possible by new materials, and until recently new materials could only be discovered experimentally. Recent advances in solving the crystal structure prediction problem means that the computational design of materials is now a reality. Computational Materials Discovery provides a comprehensive review of this field covering different computational methodologies as well as specific applications of materials design. The book starts by illustrating how and why first-principle calculations have gained importance in the process of materials discovery. The book is then split into three sections, the first exploring different approaches and ideas including crystal structure prediction from evolutionary approaches, data mining methods and applications of machine learning. Section two then looks at examples of designing specific functional materials with special technological relevance for example photovoltaic materials, superconducting materials, topological insulators and thermoelectric materials. The final section considers recent developments in creating low-dimensional materials. With contributions from pioneers and leaders in the field, this unique and timely book provides a convenient entry point for graduate students, researchers and industrial scientists on both the methodologies and applications of the computational design of materials.

Author : Turab Lookman,Stephan Eidenbenz,Frank Alexander,Cris Barnes
Publisher : Springer
Page : 256 pages
File Size : 44,6 Mb
Release : 2018-09-22
Category : Science
ISBN : 9783319994659

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Materials Discovery and Design by Turab Lookman,Stephan Eidenbenz,Frank Alexander,Cris Barnes Pdf

This book addresses the current status, challenges and future directions of data-driven materials discovery and design. It presents the analysis and learning from data as a key theme in many science and cyber related applications. The challenging open questions as well as future directions in the application of data science to materials problems are sketched. Computational and experimental facilities today generate vast amounts of data at an unprecedented rate. The book gives guidance to discover new knowledge that enables materials innovation to address grand challenges in energy, environment and security, the clearer link needed between the data from these facilities and the theory and underlying science. The role of inference and optimization methods in distilling the data and constraining predictions using insights and results from theory is key to achieving the desired goals of real time analysis and feedback. Thus, the importance of this book lies in emphasizing that the full value of knowledge driven discovery using data can only be realized by integrating statistical and information sciences with materials science, which is increasingly dependent on high throughput and large scale computational and experimental data gathering efforts. This is especially the case as we enter a new era of big data in materials science with the planning of future experimental facilities such as the Linac Coherent Light Source at Stanford (LCLS-II), the European X-ray Free Electron Laser (EXFEL) and MaRIE (Matter Radiation in Extremes), the signature concept facility from Los Alamos National Laboratory. These facilities are expected to generate hundreds of terabytes to several petabytes of in situ spatially and temporally resolved data per sample. The questions that then arise include how we can learn from the data to accelerate the processing and analysis of reconstructed microstructure, rapidly map spatially resolved properties from high throughput data, devise diagnostics for pattern detection, and guide experiments towards desired targeted properties. The authors are an interdisciplinary group of leading experts who bring the excitement of the nascent and rapidly emerging field of materials informatics to the reader.

Author : Jiajun Wang
Publisher : Springer Nature
Page : 252 pages
File Size : 43,8 Mb
Release : 2021-10-02
Category : Technology & Engineering
ISBN : 9789811653285

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Advanced X-ray Imaging of Electrochemical Energy Materials and Devices by Jiajun Wang Pdf

This book comprehensively outlines synchrotron-based X-ray imaging technologies and their associated applications in gaining fundamental insights into the physical and chemical properties as well as reaction mechanisms of energy materials. In this book the major X-ray imaging technologies utilised, depending on research goals and sample specifications, are discussed. With X-ray imaging techniques, the morphology, phase, lattice and strain information of energy materials in both 2D and 3D can be obtained in an intuitive way. In addition, due to the high penetration of X-rays, operando/in situ experiments can be designed to track the qualitative and quantitative changes of the samples during operation. This book will broader the reader’s view on X-ray imaging techniques and inspire new ideas and possibilities in energy materials research.

Author : Inamuddin,Maha Khan,Jafar Mazumder
Publisher : Materials Research Forum LLC
Page : 147 pages
File Size : 54,9 Mb
Release : 2023-07-05
Category : Technology & Engineering
ISBN : 9781644902530

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Application of Artificial Intelligence in New Materials Discovery by Inamuddin,Maha Khan,Jafar Mazumder Pdf

The book is concerned with the use of Artificial Intelligence in the discovery, production and application of new engineering materials. Topics covered include nano-robots. data mining, solar energy systems, materials genomics, polymer manufacturing, and energy conversion issues. Keywords: Artificial Intelligence, Mathematical Models, Machine Learning, Artificial Neural Networks, Bayesian Analysis, Vector Machines, Heuristics, Crystal Structure, Component Prediction, Process Optimization, Density Functional Theory, Monitoring, Classification, Nano-Robots, Data Mining, Solar Photovoltaics, Renewable Energy Systems, Alternative Energy Sources, Material Genomics, Polymer Manufacturing, Energy Conversion.

Author : Sanjay J. Dhoble,N. Thejo Kalyani,B. Vengadaesvaran,Abdul Kariem Arof
Publisher : Elsevier
Page : 630 pages
File Size : 49,7 Mb
Release : 2021-08-15
Category : Technology & Engineering
ISBN : 9780128237113

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Energy Materials by Sanjay J. Dhoble,N. Thejo Kalyani,B. Vengadaesvaran,Abdul Kariem Arof Pdf

Includes details of the fundamental phenomenological theories of solar cells, Li ion/ Li-air/Li-S batteries, fuel cells and their energy storage mechanisms. Discusses properties of various energy materials in addition to their device operation and evaluation. Includes details of the fundamental phenomenological theories of solar cells, Li ion/ Li-air/Li-S batteries, fuel cells and their energy storage mechanisms Discusses properties of various energy materials in addition to their device operation and evaluation

Author : Ngoc Thanh Thuy Tran,Jeng-Shiung Jan,Wen-Dung Hsu,Ming-Fa Lin,Jow-Lay Huang
Publisher : CRC Press
Page : 330 pages
File Size : 44,5 Mb
Release : 2023-05-03
Category : Technology & Engineering
ISBN : 9781000868777

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Energy Storage and Conversion Materials by Ngoc Thanh Thuy Tran,Jeng-Shiung Jan,Wen-Dung Hsu,Ming-Fa Lin,Jow-Lay Huang Pdf

This book explores the fundamental properties of a wide range of energy storage and conversion materials, covering mainstream theoretical and experimental studies and their applications in green energy. It presents a thorough investigation of diverse physical, chemical, and material properties of rechargeable batteries, supercapacitors, solar cells, and fuel cells, covering the development of theoretical simulations, machine learning, high-resolution experimental measurements, and excellent device performance. Covers potential energy storage (rechargeable batteries and supercapacitors) and energy conversion (solar cells and fuel cells) materials Develops theoretical predictions and experimental observations under a unified quasi-particle framework Illustrates up-to-date calculation results and experimental measurements Describes successful synthesis, fabrication, and measurements, as well as potential applications and near-future challenges Promoting a deep understanding of basic science, application engineering, and commercial products, this work is appropriate for senior graduate students and researchers in materials, chemical, and energy engineering and related disciplines.

Author : Anonim
Publisher : DIANE Publishing
Page : 196 pages
File Size : 41,8 Mb
Release : 2024-06-19
Category : Electronic
ISBN : 9781422345597

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Energy Materials Coordinating Committe (EMaCC): Fiscal Year 2004 Annual Technical Report by Anonim Pdf

Author : Phil De Luna
Publisher : Walter de Gruyter GmbH & Co KG
Page : 215 pages
File Size : 43,8 Mb
Release : 2022-02-21
Category : Computers
ISBN : 9783110738087

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Accelerated Materials Discovery by Phil De Luna Pdf

Typical timelines to go from discovery to impact in the advanced materials sector are between 10 to 30 years. Advances in robotics and artificial intelligence are poised to accelerate the discovery and development of new materials dramatically. This book is a primer for any materials scientist looking to future-proof their careers and get ahead of the disruption that artificial intelligence and robotic automation is just starting to unleash. It is meant to be an overview of how we can use these disruptive technologies to augment and supercharge our abilities to discover new materials that will solve world’s biggest challenges. Written by world leading experts on accelerated materials discovery from academia (UC Berkeley, Caltech, UBC, Cornell, etc.), industry (Toyota Research Institute, Citrine Informatics) and national labs (National Research Council of Canada, Lawrence Berkeley National Labs).

Author : Yuan Cheng,Tian Wang,Gang Zhang
Publisher : Springer Nature
Page : 231 pages
File Size : 52,8 Mb
Release : 2021-03-26
Category : Technology & Engineering
ISBN : 9783030683108

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Artificial Intelligence for Materials Science by Yuan Cheng,Tian Wang,Gang Zhang Pdf

Machine learning methods have lowered the cost of exploring new structures of unknown compounds, and can be used to predict reasonable expectations and subsequently validated by experimental results. As new insights and several elaborative tools have been developed for materials science and engineering in recent years, it is an appropriate time to present a book covering recent progress in this field. Searchable and interactive databases can promote research on emerging materials. Recently, databases containing a large number of high-quality materials properties for new advanced materials discovery have been developed. These approaches are set to make a significant impact on human life and, with numerous commercial developments emerging, will become a major academic topic in the coming years. This authoritative and comprehensive book will be of interest to both existing researchers in this field as well as others in the materials science community who wish to take advantage of these powerful techniques. The book offers a global spread of authors, from USA, Canada, UK, Japan, France, Russia, China and Singapore, who are all world recognized experts in their separate areas. With content relevant to both academic and commercial points of view, and offering an accessible overview of recent progress and potential future directions, the book will interest graduate students, postgraduate researchers, and consultants and industrial engineers.

Author : Vincent Dusastre
Publisher : World Scientific
Page : 360 pages
File Size : 40,8 Mb
Release : 2011
Category : Science
ISBN : 9789814317641

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Materials for Sustainable Energy by Vincent Dusastre Pdf

The search for cleaner, cheaper, smaller and more efficient energy technologies has to a large extent been motivated by the development of new materials. The aim of this collection of articles is therefore to focus on what materials-based solutions can offer and show how the rationale design and improvement of their physical and chemical properties can lead to energy-production alternatives that have the potential to compete with existing technologies. In terms of alternative means to generate electricity that utilize renewable energy sources, the most dramatic breakthroughs for both mobile (i.e., transportation) and stationary applications are taking place in the fields of solar and fuel cells. And from an energy-storage perspective, exciting developments can be seen emerging from the fields of rechargeable batteries and hydrogen storage.

Author : Artem R Oganov,Gabriele Saleh,Alexander G Kvashnin
Publisher : Royal Society of Chemistry
Page : 470 pages
File Size : 50,9 Mb
Release : 2018-10-30
Category : Science
ISBN : 9781788015622

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Computational Materials Discovery by Artem R Oganov,Gabriele Saleh,Alexander G Kvashnin Pdf

New technologies are made possible by new materials, and until recently new materials could only be discovered experimentally. Recent advances in solving the crystal structure prediction problem means that the computational design of materials is now a reality. Computational Materials Discovery provides a comprehensive review of this field covering different computational methodologies as well as specific applications of materials design. The book starts by illustrating how and why first-principle calculations have gained importance in the process of materials discovery. The book is then split into three sections, the first exploring different approaches and ideas including crystal structure prediction from evolutionary approaches, data mining methods and applications of machine learning. Section two then looks at examples of designing specific functional materials with special technological relevance for example photovoltaic materials, superconducting materials, topological insulators and thermoelectric materials. The final section considers recent developments in creating low-dimensional materials. With contributions from pioneers and leaders in the field, this unique and timely book provides a convenient entry point for graduate students, researchers and industrial scientists on both the methodologies and applications of the computational design of materials.

Author : Turab Lookman,Francis J. Alexander,Krishna Rajan
Publisher : Springer
Page : 307 pages
File Size : 52,5 Mb
Release : 2015-12-12
Category : Technology & Engineering
ISBN : 9783319238715

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Information Science for Materials Discovery and Design by Turab Lookman,Francis J. Alexander,Krishna Rajan Pdf

This book deals with an information-driven approach to plan materials discovery and design, iterative learning. The authors present contrasting but complementary approaches, such as those based on high throughput calculations, combinatorial experiments or data driven discovery, together with machine-learning methods. Similarly, statistical methods successfully applied in other fields, such as biosciences, are presented. The content spans from materials science to information science to reflect the cross-disciplinary nature of the field. A perspective is presented that offers a paradigm (codesign loop for materials design) to involve iteratively learning from experiments and calculations to develop materials with optimum properties. Such a loop requires the elements of incorporating domain materials knowledge, a database of descriptors (the genes), a surrogate or statistical model developed to predict a given property with uncertainties, performing adaptive experimental design to guide the next experiment or calculation and aspects of high throughput calculations as well as experiments. The book is about manufacturing with the aim to halving the time to discover and design new materials. Accelerating discovery relies on using large databases, computation, and mathematics in the material sciences in a manner similar to the way used to in the Human Genome Initiative. Novel approaches are therefore called to explore the enormous phase space presented by complex materials and processes. To achieve the desired performance gains, a predictive capability is needed to guide experiments and computations in the most fruitful directions by reducing not successful trials. Despite advances in computation and experimental techniques, generating vast arrays of data; without a clear way of linkage to models, the full value of data driven discovery cannot be realized. Hence, along with experimental, theoretical and computational materials science, we need to add a “fourth leg’’ to our toolkit to make the “Materials Genome'' a reality, the science of Materials Informatics.

Author : Jean-Marie Tarascon
Publisher : Collège de France
Page : 45 pages
File Size : 55,6 Mb
Release : 2017-02-23
Category : Science
ISBN : 9782722604612

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Chemistry of Materials and Energy. Examples and Future of a Millennial Science by Jean-Marie Tarascon Pdf

Since Antiquity, humans have used processes to transform the materials of their environment to suit their needs. Solid-state chemistry, initially a series of recipes, became a real science of matter and its transformations following nineteenth-century scientific discoveries. It is now used to develop efficient and eco-compatible materials to transport or store energy. Solid-state chemistry thus plays a crucial role in finding the answers that science will have to bring to humanity’s new concerns, particularly surrounding environmental issues.