Fengqi You
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View article: Liquid crystal–driven interfacial ordering of colloidal microplastics: Advancing microplastic characterization below the macroscale
Liquid crystal–driven interfacial ordering of colloidal microplastics: Advancing microplastic characterization below the macroscale Open
Detecting micrometer-scale and smaller plastic particles (microplastics or MPs) in the environment remains an unresolved challenge because they are small, have chemically heterogeneous surfaces as a result of environmental weathering, and …
View article: Toward AI ecosystems for electrolyte and interface engineering in solid-state batteries
Toward AI ecosystems for electrolyte and interface engineering in solid-state batteries Open
Solid-state batteries (SSBs) are pivotal for sustainable energy storage, delivering extended life span, low-temperature resilience, and enhanced safety. However, designing stable solid electrolytes and interfaces in SSBs remains a formidab…
View article: Machine learning pipelines for the design of solid-state electrolytes
Machine learning pipelines for the design of solid-state electrolytes Open
ML-driven closed-loop pipeline SSE discovery. The cycle integrates AI-based prediction with experiment and application to identify promising candidates, with experimental data continuously refining the models for accelerated materials disc…
View article: Cropland enhanced weathering in low GDP regions for gigaton scale carbon removal with potential economic co-benefits
Cropland enhanced weathering in low GDP regions for gigaton scale carbon removal with potential economic co-benefits Open
Enhanced rock weathering (ERW) applies crushed silicate rocks like basalt to croplands and offers significant potential for atmospheric carbon dioxide removal (CDR). Here, we explored the potential of ERW as a bridge for sharing decarboniz…
View article: Generative learning of morphological and contrast heterogeneities for self-supervised electron micrograph segmentation
Generative learning of morphological and contrast heterogeneities for self-supervised electron micrograph segmentation Open
Deep learning in electron microscopy (EM) data analysis is predominantly supervised, relying on manually labeled data. This dependence limits scalability and slows the development of high-throughput EM characterization of materials. While …
View article: AI Applications in the Environmental Control of Controlled Environment Agriculture in the Digital Age
AI Applications in the Environmental Control of Controlled Environment Agriculture in the Digital Age Open
Controlled environment agriculture (CEA) offers a sustainable path for food production amid climate change, resource constraints, and urban growth. However, the dynamic interplay of environmental variables and multiscale integration makes …
View article: Sustainable supply of critical materials for water electrolysers and fuel cells
Sustainable supply of critical materials for water electrolysers and fuel cells Open
Water electrolysers and fuel cells are key technologies for global energy transition. Many materials used in them are critical, facing supply challenges. We compile challenges and opportunities for the sustainable supply of these critical …
View article: Carbon capture utilization and storage promotes poverty alleviation and sustainable development in China
Carbon capture utilization and storage promotes poverty alleviation and sustainable development in China Open
Integrating of carbon capture, utilization, and storage with poverty alleviation strategies presents an innovative and sustainable development paradigm. Regional poverty, often exacerbated by challenging geographical conditions, can be tra…
View article: Empowering Generalist Material Intelligence with Large Language Models
Empowering Generalist Material Intelligence with Large Language Models Open
Large language models (LLMs) are steering the development of generalist materials intelligence (GMI), a unified framework integrating conceptual reasoning, computational modeling, and experimental validation. Central to this framework is t…
View article: A comprehensive analysis on EU batteries regulation: lifecycle decarbonization, business challenge and compliance risk
A comprehensive analysis on EU batteries regulation: lifecycle decarbonization, business challenge and compliance risk Open
The REGULATION (EU) 2023/1542 OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL of 12 July 2023 (short as “EU Batteries Regulation”) presents both a challenge and an opportunity for battery manufacturers and operators as they must not only nav…
View article: Knowledge Distillation for Molecular Property Prediction: A Scalability Analysis
Knowledge Distillation for Molecular Property Prediction: A Scalability Analysis Open
Knowledge distillation (KD) is a powerful model compression technique that transfers knowledge from complex teacher models to compact student models, reducing computational costs while preserving predictive accuracy. This study investigate…
View article: Robust Assessments of Lithium Mining Impacts Embodied in Global Supply Chain Require Spatially Explicit Analyses
Robust Assessments of Lithium Mining Impacts Embodied in Global Supply Chain Require Spatially Explicit Analyses Open
Lithium is a critical material for the energy transition, but its mining causes significant environmental impacts that will intensify due to surging global demand. Here, we conduct a mining site-specific environmental impact assessment of …
View article: Source Data for: Generative learning of morphological and contrast heterogeneities for self-supervised electron micrograph segmentation
Source Data for: Generative learning of morphological and contrast heterogeneities for self-supervised electron micrograph segmentation Open
Related data for EMcopilot. Below is the hierarchical structure of the dataset. If you are using this dataset in your publication, please cite our paper: npj Comput. Mater. 11, 322 (2025). https://doi.org/10.1038/s41524-025-01800-5. Declar…
View article: Strategic Design and Multiperiod Optimization under Uncertainty of Solid Sorbent Direct Air Capture Supply Chains in Europe
Strategic Design and Multiperiod Optimization under Uncertainty of Solid Sorbent Direct Air Capture Supply Chains in Europe Open
This study develops a multiperiod mixed-integer linear programming model for strategic planning of direct air capture (DAC) supply chains across Europe aiming at minimizing overall costs under uncertainty. DAC is pivotal for achieving net-…
View article: Decarbonizing energy: Plastic waste trade for zero waste 2040
Decarbonizing energy: Plastic waste trade for zero waste 2040 Open
Plastics are essential to human activities but also drive climate burdens and global pollution from energy-intensive material production and waste treatment. This study proposes and evaluates sustainable technology roadmaps under energy tr…
View article: Decarbonization of Building Operations with Adaptive Quantum Computing-Based Model Predictive Control
Decarbonization of Building Operations with Adaptive Quantum Computing-Based Model Predictive Control Open
This work proposes an adaptive quantum approximate optimization-based model predictive control (MPC) strategy for energy management in buildings equipped with battery energy storage and renewable energy generation systems. The learning-bas…
View article: Non-Iterative Coordination of Interconnected Power Grids via Dimension-Decomposition-Based Flexibility Aggregation
Non-Iterative Coordination of Interconnected Power Grids via Dimension-Decomposition-Based Flexibility Aggregation Open
The bulk power grid is divided into regional grids interconnected with multiple tie-lines for efficient operation. Since interconnected power grids are operated by different control centers, it is a challenging task to realize coordinated …
View article: Encoding proteins as quantum states with approximate quantum state preparation by iterated sparse state preparation
Encoding proteins as quantum states with approximate quantum state preparation by iterated sparse state preparation Open
Quantum computing holds transformative potential for various domains including cheminformatics through advancements in quantum algorithms. The key to realizing improvements with quantum algorithms in cheminformatics is encoding chemical da…
View article: Biogeochemistry-Informed Neural Network (BINN) for Improving Accuracy of Model Prediction and Scientific Understanding of Soil Organic Carbon
Biogeochemistry-Informed Neural Network (BINN) for Improving Accuracy of Model Prediction and Scientific Understanding of Soil Organic Carbon Open
Big data and the rapid development of artificial intelligence (AI) provide unprecedented opportunities to enhance our understanding of the global carbon cycle and other biogeochemical processes. However, retrieving mechanistic knowledge fr…
View article: Integrating biophysical modeling, quantum computing, and AI to discover plastic-binding peptides that combat microplastic pollution
Integrating biophysical modeling, quantum computing, and AI to discover plastic-binding peptides that combat microplastic pollution Open
Methods are needed to mitigate microplastic (MP) pollution to minimize their harm to the environment and human health. Given the ability of polypeptides to adsorb strongly to materials of micro- or nanometer size, plastic-binding peptides …