Advances in Materials Science and Technology
暫譯: 材料科學與技術的進展

Srinivasan, Srikari, R, Suresh, Cadambi, Rahul M.

  • 出版商: CRC
  • 出版日期: 2025-08-19
  • 售價: $4,870
  • 貴賓價: 9.5$4,627
  • 語言: 英文
  • 頁數: 290
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1041123418
  • ISBN-13: 9781041123415
  • 相關分類: 材料科學 Meterials
  • 尚未上市,無法訂購

相關主題

商品描述

The themes of the conference are related to applied materials like, structural materials, energy materials, electronic materials, biomaterials, computational materials science and sustainable materials. Globally the emphasis is on materials which can cater to reduction in weight of the system for structural applications, miniaturization of electronic devices, materials which improves the efficiency and performance for energy industry at the same time being environmentally sustainable, can be recycled/ reused with emphasis on cost reduction either through material or manufacturing/synthesis routes. Nano materials are continuously being explored to meet these needs. The conference theme deals with the application of modelling techniques to explore synthesis new materials, study their behaviour and predict failures and manufacturing. The proceedings hence covers application of materials in very important areas where new technology is developed for a sustainable development. The proceedings gives the glimpse of new materials synthesis, nanomaterials, property evaluation for various fields, usage of computational methods and AI/ML for materials science and engineering field. The conference is very relevant to the young engineers and science researchers, who are focusing their work in the materials sciences, with emphasis on AI & ML predictive models for synthesis and analysis.

商品描述(中文翻譯)

會議的主題與應用材料相關,包括結構材料、能源材料、電子材料、生物材料、計算材料科學和可持續材料。全球的重點在於能夠減輕結構應用系統重量的材料、電子設備的小型化、同時提高能源產業效率和性能的材料,並且具備環境可持續性,能夠回收/重複使用,並強調通過材料或製造/合成路徑來降低成本。納米材料不斷被探索以滿足這些需求。會議主題涉及應用建模技術來探索新材料的合成、研究其行為以及預測失效和製造。因此,會議論文涵蓋了材料在非常重要領域的應用,這些領域正在為可持續發展開發新技術。會議論文展示了新材料合成、納米材料、各個領域的性質評估、計算方法的使用以及在材料科學和工程領域中應用人工智慧/機器學習(AI/ML)。這次會議對於專注於材料科學的年輕工程師和科學研究人員非常相關,特別是強調用於合成和分析的AI與ML預測模型。