Zhang, Junru, Liu, Yang, Chandra Sekhar.P, Durga, Singh, Manjot, Tong, Yuxin, Kucukdeger, Ezgi, Yoon, Hu Young, Haring, Alexander P., Roman, Maren, Kong, Zhenyu, and Johnson, Blake N. Rapid, autonomous high-throughput characterization of hydrogel rheological properties via automated sensing and physics-guided machine learning. Retrieved from https://par.nsf.gov/biblio/10388423. Applied Materials Today 30.C Web. doi:10.1016/j.apmt.2022.101720.

Zhang, Junru, Liu, Yang, Chandra Sekhar.P, Durga, Singh, Manjot, Tong, Yuxin, Kucukdeger, Ezgi, Yoon, Hu Young, Haring, Alexander P., Roman, Maren, Kong, Zhenyu, & Johnson, Blake N. Rapid, autonomous high-throughput characterization of hydrogel rheological properties via automated sensing and physics-guided machine learning. Applied Materials Today, 30 (C). Retrieved from https://par.nsf.gov/biblio/10388423. https://doi.org/10.1016/j.apmt.2022.101720

Zhang, Junru, Liu, Yang, Chandra Sekhar.P, Durga, Singh, Manjot, Tong, Yuxin, Kucukdeger, Ezgi, Yoon, Hu Young, Haring, Alexander P., Roman, Maren, Kong, Zhenyu, and Johnson, Blake N. "Rapid, autonomous high-throughput characterization of hydrogel rheological properties via automated sensing and physics-guided machine learning". Applied Materials Today 30 (C). Country unknown/Code not available. https://doi.org/10.1016/j.apmt.2022.101720. https://par.nsf.gov/biblio/10388423.

@article{osti_10388423,
place = {Country unknown/Code not available}, title = {Rapid, autonomous high-throughput characterization of hydrogel rheological properties via automated sensing and physics-guided machine learning}, url = {https://par.nsf.gov/biblio/10388423}, DOI = {10.1016/j.apmt.2022.101720}, abstractNote = {}, journal = {Applied Materials Today}, volume = {30}, number = {C}, author = {Zhang, Junru and Liu, Yang and Chandra Sekhar.P, Durga and Singh, Manjot and Tong, Yuxin and Kucukdeger, Ezgi and Yoon, Hu Young and Haring, Alexander P. and Roman, Maren and Kong, Zhenyu and Johnson, Blake N.}, }