The International Research Conference is a federated organization dedicated to bringing together a significant number of diverse scholarly events for presentation within the conference program.
The International Research Conference Aims and Objectives
Events will run over a span of time during the conference depending on the number and length of the presentations. With its high quality, it provides an exceptional value for students, academics and industry researchers.
International Conference on Aluminum Metallurgy and Characterization Techniques aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Aluminum Metallurgy and Characterization Techniques. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Aluminum Metallurgy and Characterization Techniques.
Call for Contributions
Prospective authors are kindly encouraged to contribute to and help shape the conference through submissions of their research abstracts, papers and e-posters. Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Aluminum Metallurgy and Characterization Techniques are cordially invited for presentation at the conference. The conference solicits contributions of abstracts, papers and e-posters that address themes and topics of the conference, including figures, tables and references of novel research materials.
Guidelines for Authors
All submitted conference papers will be blind peer reviewed by three competent reviewers. The peer-reviewed conference proceedings are indexed in the Open Science Index, Google Scholar, Semantic Scholar, Zenedo, OpenAIRE, BASE, WorldCAT, Sherpa/RoMEO, and other index databases. Impact Factor Indicators.