Muthyala, Madhav_R, Sorourifar, Farshud, Tan, Tianhong, Peng, You, and Paulson, Joel_A. Generative Multiobjective Bayesian Optimization with Scalable Batch Evaluations for Sample-Efficient De Novo Molecular Design. Industrial & Engineering Chemistry Research 65.1 Web. doi:10.1021/acs.iecr.5c03166.

Muthyala, Madhav_R, Sorourifar, Farshud, Tan, Tianhong, Peng, You, & Paulson, Joel_A. Generative Multiobjective Bayesian Optimization with Scalable Batch Evaluations for Sample-Efficient De Novo Molecular Design. Industrial & Engineering Chemistry Research, 65 (1). https://doi.org/10.1021/acs.iecr.5c03166

Muthyala, Madhav_R, Sorourifar, Farshud, Tan, Tianhong, Peng, You, and Paulson, Joel_A. "Generative Multiobjective Bayesian Optimization with Scalable Batch Evaluations for Sample-Efficient De Novo Molecular Design". Industrial & Engineering Chemistry Research 65 (1). Country unknown/Code not available: American Chemical Society. https://doi.org/10.1021/acs.iecr.5c03166. https://par.nsf.gov/biblio/10659721.

@article{osti_10659721,
place = {Country unknown/Code not available}, title = {Generative Multiobjective Bayesian Optimization with Scalable Batch Evaluations for Sample-Efficient De Novo Molecular Design}, url = {https://par.nsf.gov/biblio/10659721}, DOI = {10.1021/acs.iecr.5c03166}, abstractNote = {Not Available}, journal = {Industrial & Engineering Chemistry Research}, volume = {65}, number = {1}, publisher = {American Chemical Society}, author = {Muthyala, Madhav_R and Sorourifar, Farshud and Tan, Tianhong and Peng, You and Paulson, Joel_A}, }