代表性论著： J. Xiong*, B. W. Bai, H. R. Jiang, A. Faus-Golfe, Effects of alloying elements on the saturation magnetic flux density of Fe-based metallic glasses: learning from machine learning models. Rare Metals. (2024) Accept J. X. Ma, B. Cao, S. Y. Dong, Y. Tian, M. H. Wang, J. Xiong*, S. Sun*, MLMD: a programming-free AI platform to predict and design materials. npj computational materials. 10 (2024) 59 J. Xiong, J.C. He, X.S. Leng, T.-Y. Zhang*. Gaussian process regressions on hot deformation behaviors of FGH98 Nickel-based powder superalloy. Journal of Materials Science & Technology. 146 (2023) 177-185. J. Xiong*, T.-Y. Zhang*. Data-driven glass-forming ability criterion for bulk amorphous metals with data augmentation. Journal of Materials Science & Technology. 121 (2022) 99-104. J. Xiong, S.-Q. Shi*, T.-Y. Zhang*. Machine learning of phases and mechanical properties in complex concentrated alloys. Journal of Materials Science & Technology. 87 (2021) 133-142. J. Xiong, S.-Q. Shi*, & T.-Y. Zhang*. A machine-learning approach to predicting and understanding the properties of amorphous metallic alloys. Materials & Design. 187 (2020) 108378. J. Xiong, S.-Q. Shi*, & T -Y. Zhang*. Machine learning of mechanical properties of steels. Science China Technological Science. 63 (2020) 1247-1255. J. Xiong, T. X. Lei, D. M. Fu, J.W. Wu, T.-Y. Zhang*. Data driven discovery of an analytic formula for the life prediction of Lithium-ion batteries. Progress in Natural Science: Materials International. 32 (2022) 793-799. J. Xiong, S.-Q. Shi*, T.-Y. Zhang*. Machine learning of prediction of glass-forming ability in bulk metallic glasses. Computational Materials Science. 192 (2021) 110362. J. Xiong, T.-Y. Zhang*, S.-Q. Shi. Machine learning prediction of elastic properties and glass-forming ability of bulk metallic glasses. MRS Communications. 9 (2020) 576-585. R. Zhao, J.C. He*, H. Tian, Y.J. Jing, J. Xiong*. Application of Constitutive Models and Machine Learning Models to Predict the Elevated Temperature Flow Behavior of TiAl Alloy. Materials. 16 (2023) 4987. A.R. Wei, Y. Han*, Z.L. Guo, J. Xiong*, SISSO-assisted prediction and design of mechanical properties of porous graphene with a uniform nanopore array. Nanoscale Advance. 4 (2022) 1455-1463
专利及软件著作权： 熊杰，张统一，赵锐，许磊; 一种基于机器学习的新型非晶合金设计方法, 2022-03-01, 中国, 2022101931772 陈洪生，肖红星，熊杰，龙冲生，韦天国，陈勇，冷雪松; 基于符号回归的控制棒芯体材料热物理性能的计算方法, 2023-05-09, 中国, 2023101918560 曹斌，张统一，熊杰， 张茜， 孙升; 基于boosting的迁移学习软件, 2023SR0525555, 原始取得, 全部权利, 2023-3-20 张守阳，曹斌，熊杰，冯振杰，张统一；卷积自注意力网络粉末X射线全谱线初相识别软件，2024SR0225447, 原始取得, 全部权利, 2023-11-30
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