Manwendra Kumar Tripathi (14 results)

Paperback. Condition: Brand New. 80 pages. 8.66x5.91x0.19 inches. In Stock.

Paperback. Condition: Brand New. 84 pages. 8.66x5.91x0.19 inches. In Stock.

Taschenbuch. Condition: Neu. Multi-Component Alloys: Challenges and Opportunities | Manwendra Kumar Tripathi (u. a.) | Taschenbuch | 84 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786133990166 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

Taschenbuch. Condition: Neu. Data Driven Approach to the Compositional Design of Metallic Glasses | Manwendra Kumar Tripathi (u. a.) | Taschenbuch | 256 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786202196697 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.…

Paperback. Condition: Brand New. 256 pages. 8.66x5.91x0.58 inches. In Stock.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The accidental discoveries in alloying have transformed the standard of living for the civilizations, across centuries. A careful review in development of alloying suggests that there have been significant progress in the field of metallic alloys in the 20th century. These developments open doors of new discoveries and opportunities. It is evident from the fact that the materials engineers have attempted to think beyond conventional binary and ternary alloys. The multi-component alloying has been attempted, especially in case of metallic glasses and high entropy alloys. This book is an attempt to review the landmark development in the field of compositional design of metallic glasses and high entropy alloys. Further, an attempt has been made to identify the challenge in the course of development of the subject and future directions. 84 pp. Englisch.…

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The accidental discoveries in alloying have transformed the standard of living for the civilizations, across centuries. A careful review in development of alloying suggests that there have been significant progress in the field of metallic alloys in the 20th century. These developments open doors of new discoveries and opportunities. It is evident from the fact that the materials engineers have attempted to think beyond conventional binary and ternary alloys. The multi-component alloying has been attempted, especially in case of metallic glasses and high entropy alloys. This book is an attempt to review the landmark development in the field of compositional design of metallic glasses and high entropy alloys. Further, an attempt has been made to identify the challenge in the course of development of the subject and future directions.…

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ganguly SubhasDr. Subhas Ganguly is PhD in Metallurgical and Materials Engineering from IIEST Shibpur, India. He is Assistant Professor at the Department of Metallurgical Engineering, NIT Raipur. His area of research interest include.…

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Tripathi Manwendra KumarDr. Manwendra K. Tripathi is PhD from IIEST Shibpur. He is a faculty member at the Department of Metallurgical Engineering, National Institute of Technology Raipur (India). His area of research interests inclu.…

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -There have been many compositional design methodologies developed for metallic glasses, which exhibit many attractive engineering properties, since past six decades. However, these methodologies have yielded marginal success and are constrained by their own limitations. The data driven models, harnessing the benefits of machine learning, has been proven useful to solve complex engineering problems. The researcher in the domain of metallic glasses have produced enough experimental data to mine knowledge and build a reliable model to predict promising compositions. This book intends to address the need of those researchers, who have been in search of a case study of application of machine learning based techniques, for design of materials composition. The authors believe that this book will be useful to the researchers in the domain of Compositional Design of Metallic Glasses in particular, and Materials Engineers in general. 256 pp. Englisch.…

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The accidental discoveries in alloying have transformed the standard of living for the civilizations, across centuries. A careful review in development of alloying suggests that there have been significant progress in the field of metallic alloys in the 20th century. These developments open doors of new discoveries and opportunities. It is evident from the fact that the materials engineers have attempted to think beyond conventional binary and ternary alloys. The multi-component alloying has been attempted, especially in case of metallic glasses and high entropy alloys. This book is an attempt to review the landmark development in the field of compositional design of metallic glasses and high entropy alloys. Further, an attempt has been made to identify the challenge in the course of development of the subject and future directions.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 84 pp. Englisch.…

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Tripathi Manwendra KumarDr. Manwendra Tripathi has completed his PhD in Compositional Design of Bulk Metallic Glasses using Material Informatics from Indian Institute of Technology Shibpur, India. He has nine years of teaching and re.…

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - There have been many compositional design methodologies developed for metallic glasses, which exhibit many attractive engineering properties, since past six decades. However, these methodologies have yielded marginal success and are constrained by their own limitations. The data driven models, harnessing the benefits of machine learning, has been proven useful to solve complex engineering problems. The researcher in the domain of metallic glasses have produced enough experimental data to mine knowledge and build a reliable model to predict promising compositions. This book intends to address the need of those researchers, who have been in search of a case study of application of machine learning based techniques, for design of materials composition. The authors believe that this book will be useful to the researchers in the domain of Compositional Design of Metallic Glasses in particular, and Materials Engineers in general.…

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -There have been many compositional design methodologies developed for metallic glasses, which exhibit many attractive engineering properties, since past six decades. However, these methodologies have yielded marginal success and are constrained by their own limitations. The data driven models, harnessing the benefits of machine learning, has been proven useful to solve complex engineering problems. The researcher in the domain of metallic glasses have produced enough experimental data to mine knowledge and build a reliable model to predict promising compositions. This book intends to address the need of those researchers, who have been in search of a case study of application of machine learning based techniques, for design of materials composition. The authors believe that this book will be useful to the researchers in the domain of Compositional Design of Metallic Glasses in particular, and Materials Engineers in general.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 256 pp. Englisch.…