Wenjie Zhou

About

Dr. Wenjie Zhou is a materials scientist with a diverse training background that includes molecular and colloidal synthesis from Northwestern University, architected and topological materials from Caltech, and computation. His research focuses on understanding materials composed of many discrete parts, such as molecules, links, and grains, which interact through contact, entanglement, and interlocking rather than forming a continuous solid. He develops a unifying perspective that treats architecture and connectivity as primary design variables, alongside composition, to guide the design of materials with lifelike behaviors that are responsive, multifunctional, and efficient. At the University of Illinois Urbana-Champaign, Zhou leads the Intelligent Matter Lab within the Materials Science & Engineering department. His group integrates experiment, modeling, and AI to translate fundamental principles from mathematics and physics into practical material behaviors and demonstrators. His research aims to create intelligent matter—materials whose functions arise from the arrangement and interaction of their parts—enabling advancements in resilient aerospace components, durable energy interfaces, adaptable robotic elements, and other technologies where reliability and efficiency are critical.

Research topics

• Environmental science
• Computer Science
• Agronomy
• Geography
• Machine Learning
• Ecology
• Agroforestry
• Soil science
• Mathematics
• Remote sensing

Selected publications

• Towards a multiscale crop modelling framework for climate change adaptation assessment

  Nature Plants · 2020 · 309 citations

  Senior authorCorresponding
  PublisherDOI

• Using soil library hyperspectral reflectance and machine learning to predict soil organic carbon: Assessing potential of airborne and spaceborne optical soil sensing

  Remote Sensing of Environment · 2022 · 217 citations

  DOI

• Assessing the benefit of satellite-based Solar-Induced Chlorophyll Fluorescence in crop yield prediction

  International Journal of Applied Earth Observation and Geoinformation · 2020 · 158 citations

  Large-scale crop yield prediction is critical for early warning of food insecurity, agricultural supply chain management, and economic market. Satellite-based Solar-Induced Chlorophyll Fluorescence (SIF) products have revealed hot spots of photosynthesis over global croplands, such as in the U.S. Midwest. However, to what extent these satellite-based SIF products can enhance the performance of crop yield prediction when benchmarking against other existing satellite data remains unclear. Here we…

  DOI

• Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems

  Nature Communications · 2024-01-08 · 145 citations

  articleOpen access

  Accurate and cost-effective quantification of the carbon cycle for agroecosystems at decision-relevant scales is critical to mitigating climate change and ensuring sustainable food production. However, conventional process-based or data-driven modeling approaches alone have large prediction uncertainties due to the complex biogeochemical processes to model and the lack of observations to constrain many key state and flux variables. Here we propose a Knowledge-Guided Machine Learning (KGML) frame…

  PublisherOA PDFDOI

• Assessing the impacts of cover crops on maize and soybean yield in the U.S. Midwestern agroecosystems

  Field Crops Research · 2021 · 93 citations

  PublisherDOI

Frequent coauthors

• Bin Peng

  115 shared

• Kaiyu Guan

  108 shared

• Jiancheng Shi

  China Agricultural University

  79 shared

• Yuechi Yu

  Aerospace Information Research Institute

  57 shared

• Tianxing Wang

  Ministry of Natural Resources

  55 shared

• Rui Zhao

  Xihua University

  50 shared

• Da Pao Yu

  Institute of Applied Ecology

  37 shared

• Li Min Dai

  34 shared

Labs

• Intelligent Matter LabPI

  Designing Intelligent Materials Across Scales

Education

• Ph.D.

  University of the Chinese Academy of Sciences

  2019

• Bachelor

  Beijing Normal University

  2013

Awards & honors

• Materials Research Society Fellowships and Awards

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