A Bayesian Learning Approach to Modeling Pseudoreaction Networks for Complex Reacting Systems: Application to the Mild Visbreaking of Bitumen

MLA

Lina Maria Yañez Jaramillo, et al. “A Bayesian Learning Approach to Modeling Pseudoreaction Networks for Complex Reacting Systems: Application to the Mild Visbreaking of Bitumen.” Industrial & Engineering Chemistry Research, vol. 56, Feb. 2017, pp. 1961–70. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsair&AN=edsair.doi...........9f73fe84e776ba7720a5dfee9e87e457&authtype=sso&custid=ns315887.

APA

Lina Maria Yañez Jaramillo, Arno de Klerk, Rajesh Ranjan, Chaoqun Li, Vinay Prasad, & Dereje Tamiru Tefera. (2017). A Bayesian Learning Approach to Modeling Pseudoreaction Networks for Complex Reacting Systems: Application to the Mild Visbreaking of Bitumen. Industrial & Engineering Chemistry Research, 56, 1961–1970.

Chicago

Lina Maria Yañez Jaramillo, Arno de Klerk, Rajesh Ranjan, Chaoqun Li, Vinay Prasad, and Dereje Tamiru Tefera. 2017. “A Bayesian Learning Approach to Modeling Pseudoreaction Networks for Complex Reacting Systems: Application to the Mild Visbreaking of Bitumen.” Industrial & Engineering Chemistry Research 56 (February): 1961–70. http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsair&AN=edsair.doi...........9f73fe84e776ba7720a5dfee9e87e457&authtype=sso&custid=ns315887.