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Functional Nanomaterials Design in the Workflow of Building Machine-Learning Models
Machine-learning (ML) techniques have revolutionized a host of research fields of chemical and materials science with accelerated, high-efficiency discoveries in design, synthesis, manufacturing, characterization and application of novel functional materials, especially at the nanometre scale.
Regional compartmentalization in multienzyme-related biomaterials system
Multienzyme cascaded reactions are widely utilized because they can generate value-added biomaterials and biodevices from simple raw materials.
Biological Physics
Study on Transient Spectrum Based on Charge Transfer of Semiconductor Quantum Dots
With the increasing energy crisis and the concept of green sustainable development, quantum dot materials have become a hot spot in the academic and industrial fields of chemistry because of their unique characteristics.
Mesoscale and Nanoscale Physics Strongly Correlated Electrons Instrumentation and Detectors Quantum Physics
Deep Multi-View Spatiotemporal Virtual Graph Neural Network for Significant Citywide Ride-hailing Demand Prediction
Urban ride-hailing demand prediction is a crucial but challenging task for intelligent transportation system construction.
