Shengli (Bruce) Jiang
Shengli (Bruce) Jiang
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2023
2022
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Shengli Jiang
,
Nanqi Bao
,
Alexander D Smith
,
Shraddha Byndoor
,
Reid C Van Lehn
,
Manos Mavrikakis
,
Nicholas L Abbott
,
Victor M Zavala
(2023).
Scalable Extraction of Information from Spatio-Temporal Patterns of Chemoresponsive Liquid Crystals Using Topological Data Analysis
. ChemRxiv preprint ChemRxiv:2023-fjcxd-v2.
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Shiyi Qin
,
Shengli Jiang
,
Jianping Li
,
Prasanna Balaprakash
,
Reid C Van Lehn
,
Victor M Zavala
(2022).
Capturing molecular interactions in graph neural networks: a case study in multi-component phase equilibrium
. Digital Discovery, 2.1 (2023): 138-151.
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Fei Long
,
Shengli Jiang
,
Adeyinka Gbenga Adekunle
,
Victor M Zavala
,
Ezra Bar-Ziv
(2022).
Online Characterization of Mixed Plastic Waste Using Machine Learning and Mid-Infrared Spectroscopy
. ACS Sustainable Chemistry & Engineering 10.48 (2022): 16064-16069.
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Shengli Jiang
,
Shiyi Qin
,
Joshua L Pulsipher
,
Victor M Zavala
(2022).
Convolutional Neural Networks: Basic Concepts and Applications in Manufacturing
. arXiv preprint arXiv:2210.07848.
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Nanqi Bao
,
Shengli Jiang
,
Alexander D Smith
,
James J Schauer
,
Manos Mavrikakis
,
Reid C Van Lehn
,
Victor M Zavala
,
Nicholas L Abbott
(2022).
Sensing Gas Mixtures by Analyzing the Spatiotemporal Optical Responses of Liquid Crystals Using 3D Convolutional Neural Networks
. ACS Sensors 7.9 (2022): 2545-2555.
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Stas Zinchik
,
Shengli Jiang
,
Soren Friis
,
Fei Long
,
Lasse Hogstedt
,
Victor M Zavala
,
Ezra Bar-Ziv
(2021).
Accurate Characterization of Mixed Plastic Waste Using Machine Learning and Fast Infrared Spectroscopy
. ACS Sustainable Chemistry & Engineering 9.42 (2021): 14143-14151.
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Shengli Jiang
,
Xu Zhuo
,
Medhavi Kamran
,
Stas Zinchik
,
Sidike Paheding
,
Armando G McDonald
,
Ezra Bar-Ziv
,
Victor M Zavala
(2021).
Using ATR-FTIR spectra and convolutional neural networks for characterizing mixed plastic waste
. Computers & Chemical Engineering 155 (2021): 107547.
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Shengli Jiang
,
Victor M Zavala
(2021).
Convolutional neural nets in chemical engineering: Foundations, computations, and applications
. AIChE Journal 67.9 (2021): e17282.
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Shengli Jiang
,
Prasanna Balaprakash
(2020).
Graph neural network architecture search for molecular property prediction
. 2020 IEEE International conference on big data (big data). IEEE, 2020.
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Shengli Jiang
,
JungHyun Noh
,
Chulsoon Park
,
Alexander D Smith
,
Nicholas L Abbott
,
Victor M Zavala
(2020).
Using machine learning and liquid crystal droplets to identify and quantify endotoxins from different bacterial species
. Analyst 146.4 (2021): 1224-1233.
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Alex K Chew
,
Shengli Jiang
,
Weiqi Zhang
,
Victor M Zavala
,
Reid C Van Lehn
(2020).
Fast predictions of liquid-phase acid-catalyzed reaction rates using molecular dynamics simulations and convolutional neural networks
. Chemical science 11.46 (2020): 12464-12476.
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Fei Ji
,
Li Wang
,
Jason Yang
,
Xu Wu
,
Mingqian Li
,
Shengli Jiang
,
Shihong Lin
,
Zheng Chen
(2018).
Highly compact, free-standing porous electrodes from polymer-derived nanoporous carbons for efficient electrochemical capacitive deionization
. Journal of Materials Chemistry A 7.4 (2019): 1768-1778.
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Fei Ji
,
Yang Shi
,
Mingqian Li
,
Shengli Jiang
,
Gen Chen
,
Fang Liu
,
Zheng Chen
(2018).
Scalable synthesis of uniform nanosized microporous carbon particles from rigid polymers for rapid ion and molecule adsorption
. ACS applied materials & interfaces 10.30 (2018): 25429-25437.
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Yang Shi
,
Hanmei Tang
,
Shengli Jiang
,
Laure V Kayser
,
Mingqian Li
,
Fang Liu
,
Fei Ji
,
Darren J Lipomi
,
Shyue Ping Ong
,
Zheng Chen
(2018).
Understanding the electrochemical properties of naphthalene diimide: implication for stable and high-rate lithium-ion battery electrodes
. Chemistry of Materials 30.10 (2018): 3508-3517.
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