The Emergence of Transdisciplinary Material Science in Diverse Applications: Towards The Development of Frameworks for Inclusive and Diverse Perspectives of Material Science Research and Education

The field of material science is undergoing a transformative shift towards transdisciplinary approaches, demonstrating its relevance in a variety of applications. This shift is paving the way for the creation of comprehensive frameworks that foster inclusivity and diverse perspectives in material science research and education. By embracing a transdisciplinary perspective, material science is adapting to the complex and interconnected challenges of our time, promoting innovation and sustainability in a broader range of applications. This abstract provides an overview of the evolving landscape of material science, highlighting the importance of inclusive and diverse frameworks to advance the field and meet the evolving demands of modern society.<br/>The following work focuses on the transdisciplinary aspects of material science research and education in the areas spanning materials fabrication and their application in water treatment, biomedical devices, environmental impact, and economic assessment. It delves into the intersections of material science with these critical fields, emphasizing the need for a holistic understanding of materials' roles in addressing contemporary challenges. By examining materials science through the lenses of water treatment, biomedical devices, environmental sustainability, and economic evaluation, this work contributes to a more inclusive and diversified approach, fostering a more profound comprehension of the pivotal role materials play in our interconnected world.<br/>Moreover, this work extends its examination to the implementation of these approaches within the semiconductor industry. It sheds light on how these methodologies are being employed to enhance research, development, and education within this industry, ensuring the widespread dissemination of innovations and their potential to drive advancements in material science. By exploring the intersections of material science, using machine learning-based approaches, and diversity-related issues within the context of the semiconductor sector, this research contributes to a more inclusive, sustainable, and technologically advanced future.