High Entropy Alloys: A Machine-Generated Literature Overview
暫譯: 高熵合金：機器生成的文獻概述
Nene, Saurabh S.
- 出版商: Springer
- 出版日期: 2025-10-02
- 售價: $7,200
- 貴賓價: 9.5 折 $6,840
- 語言: 英文
- 頁數: 310
- 裝訂: Quality Paper - also called trade paper
- ISBN: 9819971756
- ISBN-13: 9789819971756
-
相關分類:
Machine Learning
海外代購書籍(需單獨結帳)
相關主題
商品描述
This book presents the result of an innovative challenge, to create a systematic literature overview driven by machine-generated content. Questions and related keywords were prepared for the machine to query, discover, collate and structure by Artificial Intelligence (AI) clustering. The AI-based approach seemed especially suitable to provide an innovative perspective as the topics are indeed both complex, interdisciplinary and multidisciplinary, for example, climate, planetary and evolution sciences. Springer Nature has published much on these topics in its journals over the years, so the challenge was for the machine to identify the most relevant content and present it in a structured way that the reader would find useful. The automatically generated literature summaries in this book are intended as a springboard to further discoverability. They are particularly useful to readers with limited time, looking to learn more about the subject quickly and especially if they are new to the topics. Springer Nature seeks to support anyone who needs a fast and effective start in their content discovery journey, from the undergraduate student exploring interdisciplinary content to Master- or PhD-thesis developing research questions, to the practitioner seeking support materials, this book can serve as an inspiration, to name a few examples.
It is important to us as a publisher to make the advances in technology easily accessible to our authors and find new ways of AI-based author services that allow human-machine interaction to generate readable, usable, collated, research content.
商品描述(中文翻譯)
這本書展示了一項創新挑戰的結果，旨在創建一個由機器生成內容驅動的系統性文獻概述。為了讓機器進行查詢、發現、彙整和結構化，準備了問題和相關關鍵字，並通過人工智慧（AI）聚類進行處理。基於AI的方法似乎特別適合提供創新的視角，因為這些主題確實既複雜又跨學科和多學科，例如氣候、行星和演化科學。Springer Nature多年來在其期刊上發表了許多關於這些主題的文章，因此挑戰在於讓機器識別出最相關的內容，並以讀者會覺得有用的結構化方式呈現出來。本書中自動生成的文獻摘要旨在作為進一步發現的跳板。對於時間有限的讀者來說，這些摘要特別有用，因為他們希望快速了解主題，尤其是對於新接觸這些主題的讀者。Springer Nature希望支持任何需要快速有效開始其內容發現之旅的人，從探索跨學科內容的本科生，到發展研究問題的碩士或博士論文，甚至是尋求支持材料的實務工作者，本書都可以作為靈感的來源，這只是幾個例子。
作為出版商，我們認為讓技術進步對我們的作者輕鬆可及非常重要，並尋找基於AI的作者服務的新方法，讓人機互動能夠生成可讀、可用、彙整的研究內容。
作者簡介
Dr. Saurabh S. Nene is currently working as an Associate Professor at Department of Metallurgical and Materials Engineering (MME), IIT Jodhpur from June 2023. His academic journey started at College of Engineering, Pune (COEP) where he finished his B.Tech in Metallurgical Engineering (2010) followed by completing M.Tech in Materials Science from IIT Bombay in 2012. He started his PhD immediately in 2012 under a joint venture of IIT Bombay, India and Monash University, Australia and finished it in 3.5 years (2016). He subsequently moved to Centre for Friction Stir Processing (CFSP), University of North Texas (UNT) in March 2017 as Post-Doctoral Research Associate and subsequently joined Dept. MME, IIT Jodhpur in Aug, 2020 as Assistant Professor.
作者簡介(中文翻譯)
Dr. Saurabh S. Nene 目前擔任印度喬德普爾科技學院（IIT Jodhpur）冶金與材料工程系（Department of Metallurgical and Materials Engineering, MME）的副教授，自2023年6月起開始他的職位。他的學術旅程始於普納工程學院（College of Engineering, Pune, COEP），於2010年獲得冶金工程的學士學位（B.Tech），隨後於2012年在印度孟買科技學院（IIT Bombay）完成材料科學的碩士學位（M.Tech）。他於2012年立即開始攻讀博士學位，這是印度孟買科技學院與澳大利亞莫納什大學（Monash University）之間的聯合計畫，並於3.5年後（2016年）完成學位。隨後，他於2017年3月加入德克薩斯州北部大學（University of North Texas, UNT）摩擦攪拌加工中心（Centre for Friction Stir Processing, CFSP）擔任博士後研究助理，並於2020年8月加入印度喬德普爾科技學院（IIT Jodhpur）冶金與材料工程系（Dept. MME）擔任助理教授。
