ICSMV 2026
Symposia
Advanced and Quantitative Materials Characterization
The Symposium on Advanced and Quantitative Materials Characterization offers an interdisciplinary platform focused on developing and applying cutting-edge experimental techniques for materials research.
- General Information
- Symposia
- Advanced and Quantitative Materials Characterization
- Biomaterials and Polymers
- Luminescence Phenomena: Materials and Applications
- Microelectronics and MEMS
- Nanoestructures
- Semiconductors
- Renewable Energy: Materials and Devices
- Theory and Simulation of Materials
- Tribology, Surfaces and Interfaces
- Thin Films
- Vacuum, Plasma and Atomic-Scale Processing
- Science Outreach
- Plenary Lectures
- Congress Registration
- Abstract Submission
- Sponsors and Exhibit
Chairs
Dr. Sergio Alfonso Pérez García (CIMAV-MTY), alfonso.perez@cimav.edu.mx
Dra. Liliana Licea Jiménez (CIMAV-MTY), liliana.licea@cimav.edu.mx
Overview
The Symposium on Advanced and Quantitative Materials Characterization offers an interdisciplinary platform focused on developing and applying cutting-edge experimental techniques for materials research.
Modern materials science demands not only innovative synthesis and design but also rigorous, quantitative, and reproducible characterization strategies. This symposium highlights multi-scale and multimodal approaches, uncertainty quantification, statistical validation, and the integration of artificial intelligence for advanced materials analysis. The symposium functions as a transversal methodological pillar within the conference, supporting diverse materials domains through high-precision experimental validation and intelligent data interpretation.
Graduate students, early-career researchers, and senior scientists are highly encouraged to participate.
Topics of Interest
Core Methodologies
- Advanced electron microscopy
- Scanning probe microscopy
- Surface and interface quantitative analysis
- Raman, IR and vibrational spectroscopies
- Ultrafast and nonlinear optical diagnostics
- Synchrotron and neutron-based characterization
- 3D tomography and nanoscale imaging
- Correlative and multimodal microscopy
- In-situ and operando techniques
- Quantitative defect, strain and stress mapping
- Measurement uncertainty and reproducibility frameworks
Emerging and Transformative Topics
- Artificial intelligence and machine learning for materials characterization
- Automated image and spectral analysis
- Big data approaches in experimental materials science
- Smart and autonomous experimental systems
- Real-time adaptive characterization methodologies
- Data standardization and integrity in materials research
Application Domains for Quantitative Characterization
- Metal–Organic Frameworks (MOFs) and porous materials
- Composites, nanocomposites and multifunctional hybrid materials
- Quantum and low-dimensional materials
- Functional nanostructures and films
- Energy storage and catalytic materials
- Additively manufactured materials
- Advanced electronic and optoelectronic systems
Submissions highlighting measurement innovation, methodological advances, or correlative analysis are especially encouraged.
Submit Your Contribution
We invite scholars and researchers to present their latest results, experimental insights and technological developments in this evolving and foundational area of materials science.





