2025 MRS Spring Meeting & Exhibit
Symposium CH04-Advances in In Situ/Operando TEM Characterization of Dynamics and Functionalities in Materials
Recently, advanced in situ/operando electron microscopy techniques have extended the capability of investigating the structure, morphology, dynamics, and functionalities of materials across different length scales in their native environment with improved temporal and spatial resolution. For example, the motion of single Pt atoms in liquid could be visualized with a new design of liquid cell from 2D materials. Such real-time information also enriches statistics: Visualizing Brownian motion helps to map 3D lattice strain of a nanoparticle in liquid at single-atom resolution. Meanwhile, with new imaging modes and techniques integrated such as 4D-STEM and advanced detectors, emerging large data call for wise designs of data processing such as artificial intelligence algorithms, which in turn guides experiments and facilitates automatic in situ tools with “on-the-fly” data processing.
This symposium covers topics including crystallization and collective behaviors of nanomaterials, nanoscale heterogeneity and phase transformations, and processes with external stimuli. Additionally, works involving probing charge and heat transfer, lattice structure, and materials design based on insights from in situ strategies are welcomed. The symposium aims to pinpoint emerging directions in in situ/operando research in electron microscopy, X-ray techniques and spectroscopy, bridging mechanistic study, pragmatic synthesis, high output data processing, and above all, engineering of materials across various fields.
Topics will include:
- Self-assembly pathways with in situ techniques
- Nucleation and growth of crystals
- Interfacial processes and dynamics in gases and liquids
- Chemical and electrochemical reactions
- Electrically, magnetically, thermally, or mechanically driven processes
- Probing changes in structural, electronic and phononic properties
- In situ 4D-STEM, ptychography, differential phase contrast imaging, and correlative imaging
- Probing 3D information of complex systems
- Image processing/big data mining (machine learning and AI) for in situ techniques
- Material synthesis aided by in situ tools
Invited Speakers:
- Judy Cha (Cornell University, USA)
- Miaofang Chi (Oak Ridge National Laboratory, USA)
- James De Yoreo (Pacific Northwest National Laboratory, USA)
- Jennifer Dionne (Stanford University, USA)
- Madeline Dukes (Protochips Incorporated, USA)
- Nathan Gianneschi (Northwestern University, USA)
- Vida Jamali (Georgia Institute of Technology, USA)
- Yuki Kimura (Hokkaido University, Japan)
- Robert Klie (University of Illinois at Chicago, USA)
- Dongsheng Li (Pacific Northwest National Laboratory, USA)
- Yuzhang Li (University of California, Los Angeles, USA)
- Andrew Minor (University of California, Berkeley, USA)
- Utkur Mirsaidov (National University of Singapore, Singapore)
- Ivan Moreno-Hernandez (Duke University, USA)
- Colin Ophus (Lawrence Berkeley National Laboratory, USA)
- Xiaoqing Pan (University of California, Irvine, USA)
- Jungwon Park (Seoul National University, Republic of Korea)
- Kate Reidy (Massachusetts Institute of Technology, USA)
- Maria Sushko (Pacific Northwest National Laboratory, USA)
- Katherine Sytwu (Lawrence Berkeley National Laboratory, USA)
- Huan Wang (Peking University, China)
- Taylor Woehl (University of Maryland, USA)
- Joeson Wong (The University of Chicago, USA)
- Judith Yang (University of Pittsbugh, USA)
- Yao Yang (University of California, Berkeley, USA)
- Xingchen Ye (Indiana University Bloomington, USA)
- Xin Zhang (Pacific Northwest National Laboratory, USA)
- Haimei Zheng (Lawrence Berkeley National Laboratory, USA)
Symposium Organizers
Chang Liu
The University of Chicago
Chemistry
USA
Matthew Hauwiller
Seagate Technology LLC
USA
Lili Liu
Pacific Northwest National Laboratory
Energy and Environment Division
USA
Wenhui Wang
National University of Singapore
Singapore
Topics
in situ
nanoscale
nucleation & growth
operando
phase transformation
scanning transmission electron microscopy (STEM)
self-assembly
transmission electron microscopy (TEM)