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Seventy years of AI: from a Dartmouth dream to a partner in scientific discovery
Jing-Yu Lin, Pei Hua, Chang-Er Chen, Guang-Guo Ying
2026, 1(3): 128-131. DOI: 10.66178/aie-0026-0018
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The AI scientist arrives: a new epoch in autonomous discovery
Guang-Guo Ying
2026, 1(3): 132-134. DOI: 10.66178/aie-0026-0017
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From R2 to W2: rethinking predictive metrics for AI models in environmental health
Bin Wang, Fei Xia, Bo Pan, Xiqing Li, Guofeng Shen, Yichao Huang, Tiantian Li, Mengyuan Ren, Le Zhang, Michael S Bloom, Pablo Gago-Ferrero, Mingliang Fang
2026, 1(3): 135-138. DOI: 10.66178/aie-0026-0015
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Large language models for environmental research: systematic literature screening, relational knowledge mining, and quantitative data extraction
Yunlong Li, Jing Guo, Wei Shi
2026, 1(3): 139-150. DOI: 10.66178/aie-0026-0019
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AI-enabled environmental digital twins: a new paradigm for predictive environmental research
Yuyao Qin, Yuehan Wu, Yifei Liu, Yuming Huang, Huixuan Yi, Xiangyu Li, Xiao Zhang, Lijun Song, Yongfeng Lin, Dawei Lu, Guibin Jiang
2026, 1(3): 151-165. DOI: 10.66178/aie-0026-0021
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National-scale emissions, multimedia fate, and future projections of tire-derived 6PPD in China
Wentao Teng, Xiaoyi Yu, Yaya Cai, Qian-Qian Zhang, Jian-Liang Zhao, Guang-Guo Ying
2026, 1(3): 166-175. DOI: 10.66178/aie-0026-0016
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DFT-driven multitask deep learning for sulfur gas sensing and removal by transition metal phthalocyanines
Yuanchao Li, Ying He, Daozhen Zhou, Hanle Chen, Yinbao Wu, Yan Wang, Feixiang Du, Guohong Liu, Xiliang Yan, Bing Yan
2026, 1(3): 176-188. DOI: 10.66178/aie-0026-0020
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Variational autoencoder-least squares generative adversarial Network (VA-LSGAN): a latent-space parameterization framework linking three-dimensional aquifer heterogeneity characterization and perfluorooctanoic acid (PFOA) inverse modeling
Zidong Pan, Zhilin Guo, Dongwei Zhao, Yuguang Zhu, Xiuyu Liang, Maosheng Yin, Hongkai Li, Zhenzhong Zeng, Guotao Ma, Mohaddeseh Mousavi Nezhad, Chunmiao Zheng
2026, 1(3): 189-202. DOI: 10.66178/aie-0026-0022
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Artificial Intelligence & Environment