A machine learning model for skillful climate system prediction

Generative artificial intelligence improves projections of climate extremes
by: Tie, Ruian, et al.
Published: (2025)

FuXi-2.0: Advancing machine learning weather forecasting model for practical applications
by: Zhong, Xiaohui, et al.
Published: (2024)

A unified multimodal understanding and generation model for cross-disciplinary scientific research
by: Yang, Xiaomeng, et al.
Published: (2026)

Metabolism score and machine learning models for the prediction of esophageal squamous cell carcinoma progression
by: Lu Chen, et al.
Published: (2024)

A multiphysics SET modeling method based on machine learning
by: Ting Xu, et al.
Published: (2024)

Regional climate risk assessment from climate models using probabilistic machine learning
by: Wan, Zhong Yi, et al.
Published: (2024)

Do machine learning climate models work in changing climate dynamics?
by: Navarro, Maria Conchita Agana, et al.
Published: (2025)

Rice yield predictions from remote sensing inputs in machine learning models
by: Jin Yu, et al.
Published: (2025)

DPmoire: A tool for constructing accurate machine learning force fields in moiré systems
by: Liu, Jiaxuan, et al.
Published: (2024)

Topology-enhanced machine learning model (Top-ML) for anticancer peptide prediction
by: Tan, Joshua Zhi En, et al.
Published: (2024)

Uveal melanoma distant metastasis prediction system: A retrospective observational study based on machine learning
by: Shi‐Nan Wu, et al.
Published: (2024)

Evaluating the impact of climate change on hurricane wind risk: A machine learning approach
by: Chi‐Ying Lin, et al.
Published: (2025)

Application of interpretable machine learning algorithms to predict distant metastasis in ovarian clear cell carcinoma
by: Qin‐Hua Guo, et al.
Published: (2024)

Hybrid‐triggered predictive control of cyber‐physical‐systems under cyber‐attacks
by: Hengqian Li, et al.
Published: (2024)

Epidemic outbreak prediction using machine learning models
by: Pramod, Akshara, et al.
Published: (2023)

Benchmarking machine learning models for predicting aerofoil performance
by: Summerell, Oliver, et al.
Published: (2025)

Nuclear mass predictions using machine learning models
by: Yüksel, Esra, et al.
Published: (2024)

Advancing global sea ice prediction capabilities using a fully-coupled climate model with integrated machine learning
by: Gregory, William, et al.
Published: (2025)

Temperature field and curing degree prediction of large composite blades based on coupled finite element analysis and machine learning
by: Yue Wu, et al.
Published: (2025)

Generative quantum machine learning via denoising diffusion probabilistic models
by: Zhang, Bingzhi, et al.
Published: (2023)

Determinants of saturation magnetic flux density in Fe‐based metallic glasses: insights from machine‐learning models
by: Jie Xiong, et al.
Published: (2024)

Data-driven ensemble prediction of the global ocean
by: Huang, Qiusheng, et al.
Published: (2026)

Carbon price fluctuation prediction using blockchain information A new hybrid machine learning approach
by: Wang, H., et al.
Published: (2024)

The machine learning in the prediction of elections
by: José A. León-Borges
Published: (2015)

Accelerating spin Hall conductivity predictions via machine learning
by: Jinbin Zhao, et al.
Published: (2024)

Defaultable perpetual Russian option Under a last passage time model
by: Wu, Zhuoshu, et al.
Published: (2022)

Comparing machine learning models for Indonesia stock market prediction
by: Selly Anastassia Amellia Kharis, Arman Haqqi Anna Zili, Maulana Malik, Wahyu Nuryaningrum, Agustiani Putri
Published: (2025)

Interpretable machine‐learning models for predicting creep recovery of concrete
by: Shengqi Mei, et al.
Published: (2024)

Construction of the prediction model for multiple myeloma based on machine learning
by: Jiangying Cai, et al.
Published: (2024)

Can AI-predicted complexes teach machine learning to compute drug binding affinity?
by: Hsu, Wei-Tse, et al.
Published: (2025)

Single‐cell spatial transcriptomic sequencing and machine learning models uncover molecular mechanisms and diagnostic biomarkers of Peyronie's disease formation in rats
by: Keyuan Lou, et al.
Published: (2025)

The machine learning‐based model for lateral lymph node metastasis of thyroid medullary carcinoma improved the prediction ability of occult metastasis
by: Xiwei Zhang, et al.
Published: (2024)

Pre-training, fine-tuning, and distillation (PFD): Automatically generating machine learning force fields from universal models
by: Wang, Ruoyu, et al.
Published: (2025)

Polar‐low track prediction using machine‐learning methods
by: Ziying Yang, et al.
Published: (2026)

Early prediction of multiple organ failure for sepsis patients based on machine learning algorithms
by: Runnan He, et al.
Published: (2026)

Automated quantum system modeling with machine learning
by: Mukherjee, Kaustav, et al.
Published: (2024)