Dive into the transformative world of Raman spectroscopy and microscopy with our upcoming webinar, "Raman Revolution: Unveiling the Secrets of Batteries, Semiconductors, and Graphene."
This session will explore how these powerful analytical techniques can address critical challenges and enhance the investigation and quality control of cutting-edge materials. Through detailed use cases and compelling data, we will demonstrate the invaluable role of Raman spectroscopy in advancing research and development in these pivotal fields.
Key takeaways include:
- Problem-Solving Techniques: Discover how Raman spectroscopy and microscopy can effectively tackle issues in batteries, semiconductors, and graphene.
- Use Cases and Data: Gain insights from real-world examples showcasing the application of Raman spectroscopy as a robust tool for material analysis and investigation.
- Target Audience Insights: Learn valuable strategies for researchers, spectroscopy scientists, and QA/QC professionals to improve the quality and performance of related samples and raw materials.
This webinar is essential for researchers, scientists, and quality assurance professionals eager to harness the potential of Raman spectroscopy in their work. Register now to gain cutting-edge knowledge and practical solutions!
About the webinar speakers:
Dr. Matt Gabel is a Raman Application Scientist at Thermo Fisher Scientific. He graduated from Washington State University with a Ph.D. in physics, studying the ferroelectric properties of semiconductors.
He became deeply involved in vibrational spectroscopy while working as a visiting researcher at Pacific Northwest National Laboratory studying semiconductors with tip-enhanced Raman spectroscopy.
Sudhir Dahal is Product Manager of research Raman products at Thermo Fisher Scientific. The products include Raman microscopes and benchtop Raman spectrometers. He has worked with several spectroscopy techniques in the industry and has over 7 years of experience.
He has a PhD from University of Maryland Baltimore County (UMBC), where he researched and collaborated on developing novel spectroscopy-based technique for brain tumor cell detection.