Artificial Intelligence for Materials Science / Cheng, Yuan ; Wang, Tian ; Zhang, Gang  

Público ISBD Ningún comentario para este registro. Título : Artificial Intelligence for Materials Science Tipo de documento: documento electrónico Autores: Cheng, Yuan, ; Wang, Tian, ; Zhang, Gang, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: VII, 228 p. 107 ilustraciones, 101 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-68310-8 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Ciencia de los Materiales  Aprendizaje automático  Materiales  Ingeniería de Materiales Clasificación: 620.11 Resumen: Los métodos de aprendizaje automático han reducido el costo de explorar nuevas estructuras de compuestos desconocidos y pueden usarse para predecir expectativas razonables y posteriormente validarse mediante resultados experimentales. Dado que en los últimos años se han desarrollado nuevos conocimientos y varias herramientas de elaboración para la ciencia y la ingeniería de materiales, es un momento apropiado para presentar un libro que cubra los avances recientes en este campo. Las bases de datos interactivas y con capacidad de búsqueda pueden promover la investigación sobre materiales emergentes. Recientemente, se han desarrollado bases de datos que contienen una gran cantidad de propiedades de materiales de alta calidad para el descubrimiento de nuevos materiales avanzados. Estos enfoques tendrán un impacto significativo en la vida humana y, con el surgimiento de numerosos desarrollos comerciales, se convertirán en un tema académico importante en los próximos años. Este libro completo y autorizado será de interés tanto para los investigadores existentes en este campo como para otros miembros de la comunidad de ciencia de materiales que deseen aprovechar estas poderosas técnicas. El libro ofrece una variedad global de autores, de EE. UU., Canadá, Reino Unido, Japón, Francia, Rusia, China y Singapur, todos ellos expertos reconocidos mundialmente en sus distintas áreas. Con contenido relevante tanto para el punto de vista académico como comercial, y ofreciendo una visión general accesible de los avances recientes y las posibles direcciones futuras, el libro interesará a estudiantes de posgrado, investigadores de posgrado, consultores e ingenieros industriales. Nota de contenido: Chapter 1. Brief Introduction of the Machine Learning Method -- Chapter 2. Machine learning for high-entropy alloys -- Chapter 3. Two-way TrumpetNets and TubeNets for Identification of Material Parameters -- Chapter 4. Machine learning interatomic force fields for carbon allotropic materials -- Chapter 5. Genetic Algorithms -- Chapter 6. Accelerated Discovery of Thermoelectric Materials using Machine Learning -- Chapter 7. Thermal nanostructure design based on materials informatics. - Chapter 8. Machine Learning Accelerated Insights of Perovskite Materials. Tipo de medio : Computadora Summary : 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 takeadvantage 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. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Artificial Intelligence for Materials Science [documento electrónico] / Cheng, Yuan, ; Wang, Tian, ; Zhang, Gang,  . -  1 ed.  . - [s.l.] : Springer, 2021 . - VII, 228 p. 107 ilustraciones, 101 ilustraciones en color. ISBN : 978-3-030-68310-8 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Ciencia de los Materiales  Aprendizaje automático  Materiales  Ingeniería de Materiales Clasificación: 620.11 Resumen: Los métodos de aprendizaje automático han reducido el costo de explorar nuevas estructuras de compuestos desconocidos y pueden usarse para predecir expectativas razonables y posteriormente validarse mediante resultados experimentales. Dado que en los últimos años se han desarrollado nuevos conocimientos y varias herramientas de elaboración para la ciencia y la ingeniería de materiales, es un momento apropiado para presentar un libro que cubra los avances recientes en este campo. Las bases de datos interactivas y con capacidad de búsqueda pueden promover la investigación sobre materiales emergentes. Recientemente, se han desarrollado bases de datos que contienen una gran cantidad de propiedades de materiales de alta calidad para el descubrimiento de nuevos materiales avanzados. Estos enfoques tendrán un impacto significativo en la vida humana y, con el surgimiento de numerosos desarrollos comerciales, se convertirán en un tema académico importante en los próximos años. Este libro completo y autorizado será de interés tanto para los investigadores existentes en este campo como para otros miembros de la comunidad de ciencia de materiales que deseen aprovechar estas poderosas técnicas. El libro ofrece una variedad global de autores, de EE. UU., Canadá, Reino Unido, Japón, Francia, Rusia, China y Singapur, todos ellos expertos reconocidos mundialmente en sus distintas áreas. Con contenido relevante tanto para el punto de vista académico como comercial, y ofreciendo una visión general accesible de los avances recientes y las posibles direcciones futuras, el libro interesará a estudiantes de posgrado, investigadores de posgrado, consultores e ingenieros industriales. Nota de contenido: Chapter 1. Brief Introduction of the Machine Learning Method -- Chapter 2. Machine learning for high-entropy alloys -- Chapter 3. Two-way TrumpetNets and TubeNets for Identification of Material Parameters -- Chapter 4. Machine learning interatomic force fields for carbon allotropic materials -- Chapter 5. Genetic Algorithms -- Chapter 6. Accelerated Discovery of Thermoelectric Materials using Machine Learning -- Chapter 7. Thermal nanostructure design based on materials informatics. - Chapter 8. Machine Learning Accelerated Insights of Perovskite Materials. Tipo de medio : Computadora Summary : 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 takeadvantage 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. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]

Emerging Technologies for Education / Jia, Weijia ; Tang, Yong ; Lee, Raymond S. T. ; Herzog, Michael ; Zhang, Hui ; Hao, Tianyong ; Wang, Tian  

Público ISBD Ningún comentario para este registro. Título : Emerging Technologies for Education : 6th International Symposium, SETE 2021, Zhuhai, China, November 11–12, 2021, Revised Selected Papers / Tipo de documento: documento electrónico Autores: Jia, Weijia, ; Tang, Yong, ; Lee, Raymond S. T., ; Herzog, Michael, ; Zhang, Hui, ; Hao, Tianyong, ; Wang, Tian, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XVII, 488 p. 165 ilustraciones, 100 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-92836-0 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Software de la aplicacion  Ciencias sociales  Aplicaciones informáticas y de sistemas de información  Computadoras y Educación  Aplicación informática en ciencias sociales y del comportamiento. Clasificación: 005.3 Ciencia de los computadores (Programas) Resumen: Este libro constituye las actas de la conferencia arbitrada del VI Simposio Internacional sobre Tecnologías Emergentes para la Educación, SETE 2021, celebrado en Zhuhai, China, en noviembre de 2021. Se aceptaron 35 artículos completos junto con 8 artículos breves de 58 presentaciones. Los artículos se centran en los siguientes temas: Tecnologías emergentes para la educación, tecnología digital, creatividad y educación; Tecnología Educativa (Edtech) y TIC para la Educación; Educación + IA; Aprendizaje Adaptativo, Reconocimiento y Comprensión de Emociones y Comportamientos en Educación; así como artículos del Simposio Internacional sobre Modelado de Usuarios y Aprendizaje de Idiomas (UMLL2021) y el Taller Internacional sobre Tecnología Educativa para el Aprendizaje de Idiomas (ETLL 2021). Nota de contenido: Emerging Technologies for Education -- Mind Map based Computer Network Knowledge Graph Visualization Research and Application -- Student Experiences on Using Process-centric Thesis Management Tool -- AI-based Language Chatbot 2.0 – The Design and Implementation of English Language Concept Learning Agent App -- The Application of Virtual Simulation Technology in Law Teaching Practice -- The Effect of Online Collaborative Prewriting via DingTalk Group on EFL Learners' Writing Anxiety and Writing Performance -- Evaluation of Distance Learning from the Perspective of University Students - a Case Study -- Digital Technology, Creativity, and Education -- Enhancing EFL Learners' English Vocabulary Acquisition in WeChat Official Account Tweet-based Writing -- Online Statistics Teaching-assisted Platform with Interactive Web Applications using R Shiny -- Enhancing EFL learners' English Speaking Performance Through Vlog-based Digital Multimodal Composing Activities.-Mobile Learningassisted multimodal Chinese listening and speaking course -- On the Syntax and Semantics of Verbs of Searching -- Writing Collaboratively in the Continuation Task via Shared Docs -- Reflections on Applying Innovative Project-Based Learning: Shadow Play in OBTL Classroom -- Online Collision Avoidance Algorithm for Lightweight Web3D Robot Based on M-BVH -- Education Technology (Edtech) and ICT for Education -- The Teaching Design of Sequence Limit based on Modern Education Technology -- Reducing EFL Learners' Error of Sound Deletion with ASR-based Peer Feedback -- The Digital Competence of Vocational Education Teachers and of Learners With and Without Cognitive Disabilities -- Navigating the Higher Education Classroom of Covid-19: A Revisit of SAMR as a Guide for Meaningful Blended Learning Adoption -- Education + AI -- A parsing scheme of mind-map images -- "Research on OBE Online Teaching Mode Combined with Expression Recognition—Taking Digital Image Processing Course as an Example -- A Fitness Education and Scoring System based on 3D Human Body Reconstruction -- Threat Analysis of IoT Security Knowledge Graph Based on Confidence -- Adaptive Learning, Emotion and Behaviour Recognition and Understanding in Education -- Adversarial Training Leaded Robust MRC Method -- Deep Knowledge Tracking based on Exercise Semantic Information -- Automated Analysis of Student Verbalizations in Online Learning Environments -- A model of teachers' excellent teaching behaviors based on natural language processing -- International Symposium on User Modeling and Language Learning (UMLL2021) -- Examining the Efficacy of Video-based Multimodal Three-Dimension Input on the Acquisition of English Phrases -- Synchronous CMC in ESP Class during the Pandemic: A Case Study in Wuhan -- Systematic evaluation of research progress on technology-enhanced language learning: content analysis and knowledge mapping -- The Effect of Oral Practice via Chatbot on Students' Oral English Accuracy -- Investigating the Impact of Teacher Feedback on Content Revisions in EFL Students' Writing by the Automated Tracking Approach -- Exploring the potential, features, and functions of small talk in digital distance teaching on Zoom: a mixed-method study by quasi-experiment and conversation analysis -- Chatbots for learning: A Facebook Messenger 'bot' -- International Workshop on Educational Technology for Language Learning (ETLL 2021) -- Self-Assessment Activities of Translation: A Case Study of Undergraduate, Master and Doctoral Students -- Research on Construction and Application of Translation Self-Assessment Activity for Self-Regulated Learning in Chinese EFL Context -- Constructing a DELC-Based Blended Learning Model in the Interpreting Course -- Integrating Blended Learning in Computer-assisted Translation Course in Light of the New Liberal Arts Initiative -- Translation of Long English Sentences Based on Clause Complex Theory -- The Development of Artificial Intelligence Educationin Primary and Secondary Schools in Mainland China -- Scholar-Course Knowledge Graph Construction Based On Graph Database Storage -- Game-based Learning Models for Building Chinese College Students' Disciplinary English Literacy in Mathematics -- The Effect Analysis of Mind Mapping on Chinese EFL Undergraduates' Writing -- "Gold Course" in Higher Vocational Colleges Construction Standards： Connotation, Principles, Paths and Evaluation.-. Tipo de medio : Computadora Summary : This book constitutes the refereed conference proceedings of the 6th International Symposium on Emerging Technologies for Education, SETE 2021, held in Zhuhai, China in November 2021. 35 full papers were accepted together with 8 short papers out of 58 submissions. The papers focus on the following subjects: Emerging Technologies for Education, Digital Technology, Creativity, and Education; Education Technology (Edtech) and ICT for Education; Education + AI; Adaptive Learning, Emotion and Behaviour Recognition and Understanding in Education; as well as papers from the International Symposium on User Modeling and Language Learning (UMLL2021) and the International Workshop on Educational Technology for Language Learning (ETLL 2021). Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Emerging Technologies for Education : 6th International Symposium, SETE 2021, Zhuhai, China, November 11–12, 2021, Revised Selected Papers / [documento electrónico] / Jia, Weijia, ; Tang, Yong, ; Lee, Raymond S. T., ; Herzog, Michael, ; Zhang, Hui, ; Hao, Tianyong, ; Wang, Tian,  . -  1 ed.  . - [s.l.] : Springer, 2021 . - XVII, 488 p. 165 ilustraciones, 100 ilustraciones en color. ISBN : 978-3-030-92836-0 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Software de la aplicacion  Ciencias sociales  Aplicaciones informáticas y de sistemas de información  Computadoras y Educación  Aplicación informática en ciencias sociales y del comportamiento. Clasificación: 005.3 Ciencia de los computadores (Programas) Resumen: Este libro constituye las actas de la conferencia arbitrada del VI Simposio Internacional sobre Tecnologías Emergentes para la Educación, SETE 2021, celebrado en Zhuhai, China, en noviembre de 2021. Se aceptaron 35 artículos completos junto con 8 artículos breves de 58 presentaciones. Los artículos se centran en los siguientes temas: Tecnologías emergentes para la educación, tecnología digital, creatividad y educación; Tecnología Educativa (Edtech) y TIC para la Educación; Educación + IA; Aprendizaje Adaptativo, Reconocimiento y Comprensión de Emociones y Comportamientos en Educación; así como artículos del Simposio Internacional sobre Modelado de Usuarios y Aprendizaje de Idiomas (UMLL2021) y el Taller Internacional sobre Tecnología Educativa para el Aprendizaje de Idiomas (ETLL 2021). Nota de contenido: Emerging Technologies for Education -- Mind Map based Computer Network Knowledge Graph Visualization Research and Application -- Student Experiences on Using Process-centric Thesis Management Tool -- AI-based Language Chatbot 2.0 – The Design and Implementation of English Language Concept Learning Agent App -- The Application of Virtual Simulation Technology in Law Teaching Practice -- The Effect of Online Collaborative Prewriting via DingTalk Group on EFL Learners' Writing Anxiety and Writing Performance -- Evaluation of Distance Learning from the Perspective of University Students - a Case Study -- Digital Technology, Creativity, and Education -- Enhancing EFL Learners' English Vocabulary Acquisition in WeChat Official Account Tweet-based Writing -- Online Statistics Teaching-assisted Platform with Interactive Web Applications using R Shiny -- Enhancing EFL learners' English Speaking Performance Through Vlog-based Digital Multimodal Composing Activities.-Mobile Learningassisted multimodal Chinese listening and speaking course -- On the Syntax and Semantics of Verbs of Searching -- Writing Collaboratively in the Continuation Task via Shared Docs -- Reflections on Applying Innovative Project-Based Learning: Shadow Play in OBTL Classroom -- Online Collision Avoidance Algorithm for Lightweight Web3D Robot Based on M-BVH -- Education Technology (Edtech) and ICT for Education -- The Teaching Design of Sequence Limit based on Modern Education Technology -- Reducing EFL Learners' Error of Sound Deletion with ASR-based Peer Feedback -- The Digital Competence of Vocational Education Teachers and of Learners With and Without Cognitive Disabilities -- Navigating the Higher Education Classroom of Covid-19: A Revisit of SAMR as a Guide for Meaningful Blended Learning Adoption -- Education + AI -- A parsing scheme of mind-map images -- "Research on OBE Online Teaching Mode Combined with Expression Recognition—Taking Digital Image Processing Course as an Example -- A Fitness Education and Scoring System based on 3D Human Body Reconstruction -- Threat Analysis of IoT Security Knowledge Graph Based on Confidence -- Adaptive Learning, Emotion and Behaviour Recognition and Understanding in Education -- Adversarial Training Leaded Robust MRC Method -- Deep Knowledge Tracking based on Exercise Semantic Information -- Automated Analysis of Student Verbalizations in Online Learning Environments -- A model of teachers' excellent teaching behaviors based on natural language processing -- International Symposium on User Modeling and Language Learning (UMLL2021) -- Examining the Efficacy of Video-based Multimodal Three-Dimension Input on the Acquisition of English Phrases -- Synchronous CMC in ESP Class during the Pandemic: A Case Study in Wuhan -- Systematic evaluation of research progress on technology-enhanced language learning: content analysis and knowledge mapping -- The Effect of Oral Practice via Chatbot on Students' Oral English Accuracy -- Investigating the Impact of Teacher Feedback on Content Revisions in EFL Students' Writing by the Automated Tracking Approach -- Exploring the potential, features, and functions of small talk in digital distance teaching on Zoom: a mixed-method study by quasi-experiment and conversation analysis -- Chatbots for learning: A Facebook Messenger 'bot' -- International Workshop on Educational Technology for Language Learning (ETLL 2021) -- Self-Assessment Activities of Translation: A Case Study of Undergraduate, Master and Doctoral Students -- Research on Construction and Application of Translation Self-Assessment Activity for Self-Regulated Learning in Chinese EFL Context -- Constructing a DELC-Based Blended Learning Model in the Interpreting Course -- Integrating Blended Learning in Computer-assisted Translation Course in Light of the New Liberal Arts Initiative -- Translation of Long English Sentences Based on Clause Complex Theory -- The Development of Artificial Intelligence Educationin Primary and Secondary Schools in Mainland China -- Scholar-Course Knowledge Graph Construction Based On Graph Database Storage -- Game-based Learning Models for Building Chinese College Students' Disciplinary English Literacy in Mathematics -- The Effect Analysis of Mind Mapping on Chinese EFL Undergraduates' Writing -- "Gold Course" in Higher Vocational Colleges Construction Standards： Connotation, Principles, Paths and Evaluation.-. Tipo de medio : Computadora Summary : This book constitutes the refereed conference proceedings of the 6th International Symposium on Emerging Technologies for Education, SETE 2021, held in Zhuhai, China in November 2021. 35 full papers were accepted together with 8 short papers out of 58 submissions. The papers focus on the following subjects: Emerging Technologies for Education, Digital Technology, Creativity, and Education; Education Technology (Edtech) and ICT for Education; Education + AI; Adaptive Learning, Emotion and Behaviour Recognition and Understanding in Education; as well as papers from the International Symposium on User Modeling and Language Learning (UMLL2021) and the International Workshop on Educational Technology for Language Learning (ETLL 2021). Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]

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