Primary Convener:
Tamas Varga, Pacific Northwest National Laboratory

Convener:
Jianqiu Zheng, Pacific Northwest National Laboratory
Arunima Bhattacharjee, Pacific Northwest National Laboratory
Debjani Sihi, University of Florida

Chair:
Tamas Varga, Pacific Northwest National Laboratory
Debjani Sihi, University of Florida

While multiple powerful and complementary imaging and spectral modalities (electron- and x-ray-based methods, mass spectrometry methods, etc.) are continuing to be developed, the state of the science remains limited by insufficient integration across these methods, the persistence of largely manual data processing approaches, and the need for scaling approaches that link nano- and microscale observations to the field/ecosystem-scale functions (e.g., soil carbon/nutrient storage, trace gas fluxes). This session is focused on combining multimodal chemical and structural data collected on same samples (environmental, biological), image/data correlation and analysis, and AI/ML approaches to transfer learning across modalities and/or scales. We welcome ideas and examples of advancing chemical/physical imaging in 2D/3D on across scales and in real time. Challenges and problems related to data extraction, classification, and operability will be discussed with the goal of correlating, parameterizing and scaling data for database and modeling applications without human bias.

Index Terms
0409 Bioavailability: chemical speciation and complexation
0428 Carbon cycling
0430 Computational methods and data processing
0452 Instruments and techniques

Suggested Itineraries:
Critical Minerals and Renewable Energy
Open Science and Open Data

Neighborhoods:
3. Earth Covering