[1]Shengli Jiang*,
Stas Zinchik,
Søren Friis,
Fei Long,
Lasse Høgstedt,
Ezra Bar-Ziv,
Victor M Zavala.
Real-Time Characterization of Mixed Plastic Waste Using Machine Learning and Infrared Spectroscopy. FOCAPO/CPC 2023
[2]Shengli Jiang*,
Shiyi Qin,
Prasanna Balaprakash,
Reid C Van Lehn,
Victor M Zavala.
Molecular Property Uncertainty Quantification Using Automatic Graph Neural Architecture Search. 2022 AIChE Annual Meeting
[3]Shengli Jiang*,
Nanqi Bao,
Alexander D Smith,
James J Schauer,
Manos Mavrikakis,
Reid C Van Lehn,
Nicholas L Abbott,
Victor M Zavala.
Characterization of Chemoresponsive Liquid Crystals Using Topological Descriptors and Machine Learning. 2022 AIChE Annual Meeting
[4]Shengli Jiang*,
Victor M Zavala.
Rapid and Real-Time Mixed-Plastic Waste Analysis Using Infrared Spec- troscopy and Machine Learning. 2021 AIChE Annual Meeting
[5]Shengli Jiang*,
Alex K Chew,
Weiqi Zhang,
Reid C Van Lehn.
Victor M Zavala.
Characterizing Complex Solvent Envi- ronments in Acid-Catalyzed Reactions Using Molecular Dynamics Simulations and 3D Convolutional Neural Nets. 2020 AIChE Annual Meeting
[7]Shengli Jiang*,
Sean B Fei,
Kaite Carey,
Loren Denlinger,
Nizar Jarjour,
Mark Schiebler,
Roland Sorkness,
Andrew Hahn,
Victor M Zavala.
Ensemble Machine Learning Using Quantitative Chest CT and Clinical Biomarkers to Predict Asthma Severity and Outcomes. ATS 2021
[8]Shengli Jiang*,
Alexander D Smith,
Nanqi Bao,
Nicholas L Abbott.
Victor M Zavala.
Liquid Endotoxin Sensors Using Liquid Crystals and Machine Learning. 2019 AIChE Annual Meeting