Research / Areas of ResearchMaterials Characterization
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- Microscopy and Microanalysis
- Synchrotron and Ultrafast Methods
- In Situ and Operando Methods
- Autonomous and High-Throughput Characterization
Microscopy and Microanalysis
Seeing structure and composition directly, at the scale on which properties are determined, is central to materials science. Northwestern research teams develop and use electron microscopy, scanning probe methods, and atom probe tomography to resolve atomic arrangement, chemistry, and defects, and to correlate several techniques on the same specimen. Instruments range from those in individual research laboratories to the department's world-class NUANCE and NUCAPT centers.
Core Faculty
- Scott Barnett
- Cécile Chazot
- Yip-Wah Chung
- Vinayak P. Dravid
- David Dunand
- Nathan Gianneschi
- Mark Hersam
- Derk Joester
- Rajan Kumar
- Lincoln Lauhon
- Chad Mirkin
- Jonathan Rivnay
- Samuel Stupp
Affiliated Faculty
Emeritus Faculty
Research Faculty
- Roberto dos Reis
Synchrotron and Ultrafast Methods
Some questions can only be answered at large national user facilities, where X-ray and other sources provide intensity, coherence, penetration, and time resolution unavailable in the laboratory. Northwestern faculty use synchrotron and neutron beamlines, including the University’s own sector at the nearby Advanced Photon Source, and ultrafast sources that follow structural change as it happens.
Core Faculty
- Michael Bedzyk
- David Dunand
- Jennifer Fowlie
- Sossina Haile
- Derk Joester
- Lincoln Lauhon
- Jonathan Rivnay
- Kenneth Shull
- Samuel Stupp
Affiliated Faculty
In Situ and Operando Methods
Materials behave differently under load, temperature, or electrochemical bias than they do at rest, and much of what matters happens only while they are working. Northwestern faculty develop and apply methods to observe materials during reaction, deformation, and cycling, rather than inferring what happened from before-and-after comparison.
Core Faculty
- Scott Barnett
- Michael Bedzyk
- Vinayak P. Dravid
- David Dunand
- Nathan Gianneschi
- Sossina Haile
- Mark Hersam
- Lincoln Lauhon
- Jonathan Rivnay
- Christopher Schuh
- Kenneth Shull
Affiliated Faculty
Emeritus Faculty
Research Faculty
- Roberto dos Reis
Autonomous and High-Throughput Characterization
Measuring many samples, or many conditions, faster than one at a time changes the questions that can be asked. Northwestern research teams combine combinatorial libraries, automated instrumentation, and machine learning to acquire and interpret large characterization datasets, and to close the loop with agentic workflows in which the result of one measurement decides what is measured next.
Core Faculty
- Michael Bedzyk
- Vinayak P. Dravid
- David Dunand
- Sossina Haile
- Mark Hersam
- Derk Joester
- Ian McCue
- Chad Mirkin
- Christopher Wolverton
Affiliated Faculty
Research Faculty
- Roberto dos Reis