China’s Next-Generation Air-Quality Model EPICC Features on the Cover of Advances in Atmospheric Sciences, Pioneering a New Paradigm of “Workshop-Based” Collective Authorship
The latest cover article of Advances in Atmospheric Sciences spotlights the Emission–Integrated Process Coupled air-quality model (EPICC), a next-generation system developed under the Earth System Science Numerical Simulator Facility (EarthLab). Long hampered by “solo” development, China’s air-quality-modeling community has now embraced EPICC’s “Model Workshop” collective-authorship mechanism. By institutionalizing open-source sharing and collaborative R&D, the model provides a governance framework for efficient multi-team cooperation. Version 1.0 of EPICC was delivered by a 59-member “Model Workshop” drawn from 13 institutes, including the Institute of Atmospheric Physics (CAS), Tsinghua University and Peking University. The EPICC paradigm offers a reproducible Chinese solution for research fields worldwide that face similar collaboration bottlenecks.
Source: Earth System Science Numerical Simulator Facility
School of Physics, Peking University Unveils Large-Scale, High-Precision Surface Quantum-Chemistry Method
Associate Professor Chen Ji’s group at the Institute of Condensed-Matter and Materials Physics, Peking University, together with collaborators, has created a multi-resolution, systematically improvable quantum-embedding protocol tailored for large-scale surface chemistry. Coupled with a bottom-to-top, GPU-accelerated workflow, the method achieves “gold-standard” quantum-chemical accuracy on real surface problems involving tens of thousands of orbitals and hundreds of atoms—opening new avenues for materials design, surface-mechanism exploration and high-throughput, high-precision computing pipelines. The work appears in Nature Communications.
Source: Interdisciplinary Institute of Light-Elements Quantum Materials (LEQM)
National Space Science Center Reveals Radial Evolution of Magnetic Turbulence in Jupiter’s Magnetosheath Flanks
Using Juno magnetometer data, CAS Member Wang Chi’s research team at the State Key Laboratory of Solar Activity and Space Weather, National Space Science Center of the Chinese Academy of Sciences, has for the first time characterized the radial evolution of magnetic-turbulence power spectra in Jupiter’s magnetosheath flanks at magnetohydrodynamic scales, quantifying the influence of various wave modes on the turbulence. As the critical transition region between the solar wind and a planetary magnetosphere, the magnetosheath hosts highly turbulent plasma and serves as a natural laboratory for turbulence studies. Jupiter’s magnetosheath—the largest in the solar system—provides an ideal arena for fully developed turbulence. The findings, published in The Astrophysical Journal, offer a valuable reference for understanding turbulence in diverse planetary environments.
Source: National Space Science Center, Chinese Academy of Sciences
Tsinghua’s School of Environment Proposes a Near- to Mid-Term Multi-Target Mitigation Strategy for PM₂.₅, O₃ and CO₂ in China
Associate Researcher Geng Guannan and colleagues have built an integrated assessment framework that couples a bottom-up emission projector, a goal-oriented mitigation-screening tool, an air-quality model and a cost–benefit model to evaluate simultaneous control of atmospheric constituents. Integrating clean-air and climate policies, the study uses multiple scenarios to quantify carbon, PM₂.₅ and O₃ reductions as well as resulting climate, health and economic benefits, systematically exploring the feasibility and key tactics for achieving China’s “triple synergy” targets for PM₂.₅, O₃ and CO₂. Results appear in Proceedings of the National Academy of Sciences of the United States of America.
Tsinghua’s School of Environment Advances Waste-to-Sustainable Aviation Fuel Research
Associate Professor Zhao Ming (Tsinghua University) and Prof. Michael B. McElroy (Harvard University) propose a pathway that simultaneously pursues “zero-waste cities” and “low-carbon aviation”: converting growing municipal solid waste (MSW) into aviation fuel. Based on industrial-scale gasification and Fischer–Tropsch data, the team systematically assessed the emission-reduction potential and technical bottlenecks of MSW-derived sustainable aviation fuel (SAF), demonstrating a viable route for turning urban waste into low-carbon jet fuel. The study is published in Nature Sustainability.
Source: School of Environment, Tsinghua University
BIMSA Reveals Quantum Advantage in Arbitrary-Dimensional Shadow Tomography
Assistant Researcher Wang Yu at the Beijing Institute of Mathematical Sciences and Applications (BIMSA) has introduced a universal shadow-tomography framework valid for quantum systems of any dimension. The work shows that, even when experimental measurements remain simple, quantum advantage can arise from highly efficient data post-processing rather than merely from larger hardware scale. The results deepen the foundations of quantum information science and provide immediately applicable, efficient characterization and processing tools for quantum computing, quantum AI and high-dimensional data analysis. The paper appears in Physical Review Letters.
Source: Beijing Institute of Mathematical Sciences and Applications