Qian, Kuanren, Suarez, Genesis Omana, Nambara, Toshihiko, Kanekiyo, Takahisa, and Zhang, Yongjie Jessica. High-throughput machine learning framework for predicting neurite deterioration using MetaFormer attention. Retrieved from https://par.nsf.gov/biblio/10594581. Computer Methods in Applied Mechanics and Engineering 442.C Web. doi:10.1016/j.cma.2025.118003.

Qian, Kuanren, Suarez, Genesis Omana, Nambara, Toshihiko, Kanekiyo, Takahisa, & Zhang, Yongjie Jessica. High-throughput machine learning framework for predicting neurite deterioration using MetaFormer attention. Computer Methods in Applied Mechanics and Engineering, 442 (C). Retrieved from https://par.nsf.gov/biblio/10594581. https://doi.org/10.1016/j.cma.2025.118003

Qian, Kuanren, Suarez, Genesis Omana, Nambara, Toshihiko, Kanekiyo, Takahisa, and Zhang, Yongjie Jessica. "High-throughput machine learning framework for predicting neurite deterioration using MetaFormer attention". Computer Methods in Applied Mechanics and Engineering 442 (C). Country unknown/Code not available: Elsevier. https://doi.org/10.1016/j.cma.2025.118003. https://par.nsf.gov/biblio/10594581.

@article{osti_10594581,
place = {Country unknown/Code not available}, title = {High-throughput machine learning framework for predicting neurite deterioration using MetaFormer attention}, url = {https://par.nsf.gov/biblio/10594581}, DOI = {10.1016/j.cma.2025.118003}, abstractNote = {}, journal = {Computer Methods in Applied Mechanics and Engineering}, volume = {442}, number = {C}, publisher = {Elsevier}, author = {Qian, Kuanren and Suarez, Genesis Omana and Nambara, Toshihiko and Kanekiyo, Takahisa and Zhang, Yongjie Jessica}, }