APA (7th ed.) Citation

Wu, G., Zhao, Y., Zhang, L., Du, J., Meng, Q., & Liu, Q. (2025). Machine learning potential model for accelerating quantum chemistry‐driven property prediction and molecular design. AIChE Journal, 71(5), 1. https://doi.org/10.1002/aic.18741

Chicago Style (17th ed.) Citation

Wu, Guoxin, Yujing Zhao, Lei Zhang, Jian Du, Qingwei Meng, and Qilei Liu. "Machine Learning Potential Model for Accelerating Quantum Chemistry‐driven Property Prediction and Molecular Design." AIChE Journal 71, no. 5 (2025): 1. https://doi.org/10.1002/aic.18741.

MLA (9th ed.) Citation

Wu, Guoxin, et al. "Machine Learning Potential Model for Accelerating Quantum Chemistry‐driven Property Prediction and Molecular Design." AIChE Journal, vol. 71, no. 5, 2025, p. 1, https://doi.org/10.1002/aic.18741.