Mission Statement and Purpose
The Materials Chemistry specialization is an exciting, interdisciplinary program of research that involves research in topics central to the rapidly evolving field of materials chemistry. Faculty in this specialization represent a range of research interests from biomaterials to polymers to inorganic nanoparticles. Our research encompasses the chemical synthesis of materials, the molecular and physical basis of materials structure and properties, and the interplay between molecular-level structure, composition, and functional properties.
The Graduate Studies in the Materials Chemistry specialization is designed to meet the intellectual and practical needs of the graduate students and faculty who share a common interest in materials chemistry. This specialization provides a new level of intellectual freedom and opportunity to graduate students in innovation and discovery in materials chemistry. This program provides enormous opportunities for research, and uniquely prepares students for this highly multidisciplinary field. The Materials Chemistry specialization includes course work at both the basic and advanced levels, outstanding research opportunities, and many opportunities for professional development. It facilitates the research and intellectual development of students and faculty alike. Graduate students in Materials Chemistry obtain their doctoral degrees through their host departments, but they are free to select research advisors from any area of chemical sciences, while meeting the program requirements.
- Chancellor Robert J. Jones announced five committees that have been charged with identifying steps to create a campus free of structural and system racism and bias.
- As COVID-19 infects millions worldwide, the pandemic has underscored the need for cost-effective, accurate, and quick diagnostics, and the Center for Pathogen Diagnostics will seek to create new detection systems that address limitations of current technologies, while leveraging the power of artificial intelligence and machine learning to analyze disease trends, analyze sensor data, and predict future outbreaks.
- The annual top 10 list features early- and mid-career scientists who are pushing the boundaries of scientific inquiry and demonstrating potential to shape the science of the future.