8 citations · 14 across the 8 of their papers we have counts for
9 papers
Low latency global carbon budget reveals strong land sink recovery in 2025
Philippe Ciais, Piyu Ke, Xiangjun Tian +32
The atmospheric CO2 growth rate fell sharply in 2025, from a record 3.76 0.09 ppm yr-1 in 2024 to 2.06 0.09 ppm yr-1 (NOAA marine boundary layer observations), below th…
Battery-Sim-Agent: Leveraging LLM-Agent for Inverse Battery Parameter Estimation
Jiawei Chen, Xiaofan Gui, Shikai Fang +4
Parameterizing high-fidelity "digital twins" of batteries is a critical yet challenging inverse problem that hinders the pace of battery innovation. Prevailing methods formulate th…
From Risk Perception to Behavior Large Language Models-Based Simulation of Pandemic Prevention Behaviors
Lujia Bo, Mingxuan Chen, Youduo Chen +4
Individual prevention behaviors are a primary line of defense during the early stages of novel infectious disease outbreaks, yet their adoption is heterogeneous and difficult to fo…
Low latency global carbon budget reveals a continuous decline of the land carbon sink during the 2023/24 El Nino event
Piyu Ke, Philippe Ciais, Yitong Yao +28
The high growth rate of atmospheric CO2 in 2023 was found to be caused by a severe reduction of the global net land carbon sink. Here we update the global CO2 budget from January 1…
Chemistry-aware battery degradation prediction under simulated real-world cyclic protocols
Yuqi Li, Han Zhang, Xiaofan Gui +10
Battery degradation is governed by complex and randomized cyclic conditions, yet existing modeling and prediction frameworks usually rely on rigid, unchanging protocols that fail t…
Low latency carbon budget analysis reveals a large decline of the land carbon sink in 2023
Piyu Ke, Philippe Ciais, Stephen Sitch +13
In 2023, the CO2 growth rate was 3.37 +/- 0.11 ppm at Mauna Loa, 86% above the previous year, and hitting a record high since observations began in 1958, while global fossil fuel C…
Near-real-time monitoring of global ocean carbon sink
Piyu Ke, Xiaofan Gui, Wei Cao +11
Mitigation of climate change will highly rely on a carbon emission trajectory that achieves carbon neutrality by the 2050s. The ocean plays a critical role in modulating climate ch…
Accurate battery lifetime prediction across diverse aging conditions with deep learning
Han Zhang, Yuqi Li, Shun Zheng +4
Accurately predicting the lifetime of battery cells in early cycles holds tremendous value for battery research and development as well as numerous downstream applications. This ta…
BatteryML:An Open-source platform for Machine Learning on Battery Degradation
Han Zhang, Xiaofan Gui, Shun Zheng +3
Battery degradation remains a pivotal concern in the energy storage domain, with machine learning emerging as a potent tool to drive forward insights and solutions. However, this i…