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Catalysis

Working Paper

Fast Predictions of Liquid-Phase Acid-Catalyzed Reaction Rates Using Molecular Dynamics Simulations and Convolutional Neural Networks

Alex Chew, Shengli Jiang, Weiqi Zhang, Victor Zavala, Reid Van Lehn

Version 2 posted 04 May 2020

796

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Theoretical and Computational Chemistry

Working Paper

Using ATR-FTIR Spectra and Convolutional Neural Networks for Characterizing Mixed Plastic Waste

Shengli Jiang, Zhuo Xu, Medhavi Kamran, Stas Zinchik, Sidike Paheding, Armando McDonald, Ezra Bar-Ziv, Victor Zavala

Version 2 posted 03 May 2021

1,384

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1

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Materials Science

Working Paper

Property-Guided Generation of Complex Polymer Topologies Using Variational Autoencoders

Shengli Jiang, Adji Bousso Dieng, Michael Webb

Version 1 posted 20 February 2024

737

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Theoretical and Computational Chemistry

Working Paper

Capturing Molecular Interactions in Graph Neural Networks: A Case Study in Multi-Component Phase Equilibrium

Shiyi Qin, Shengli Jiang, Jianping Li, Prasanna Balaprakash, Reid Van Lehn, Victor Zavala

Version 2 posted 23 September 2022

1,784

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Analytical Chemistry

Working Paper

Sensing Gas Mixtures by Analyzing the Spatiotemporal Optical Responses of Liquid Crystals using 3D Convolutional Neural Networks

Nanqi Bao, Shengli Jiang, Alexander Smith, James Schauer, Manos Mavrikakis, Reid Van Lehn, Victor Zavala, Nicholas Abbott

Version 1 posted 04 August 2022

268

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Theoretical and Computational Chemistry

Working Paper

Scalable Extraction of Information from Spatio-Temporal Patterns of Chemoresponsive Liquid Crystals Using Topological Data Analysis

Shengli Jiang, Nanqi Bao, Alexander D. Smith, Shraddha Byndoor, Reid C. Van Lehn, Manos Mavrikakis, Nicholas L. Abbott, Victor M. Zavala

Version 2 posted 28 April 2023

456

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Polymer Science

Working Paper

Physics-Guided Neural Networks for Transferable Prediction of Polymer Properties

Shengli Jiang, Michael Webb

Version 1 posted 13 September 2024

401

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Chemical Engineering and Industrial Chemistry

Working Paper

Accelerating Multicomponent Phase-Coexistence Calculations with Physics-informed Neural Networks

Satyen Dhamankar, Shengli Jiang, Michael Webb

Version 1 posted 23 September 2024

198

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8 results in Shengli Jiang in Authors: Shengli Jiang

Fast Predictions of Liquid-Phase Acid-Catalyzed Reaction Rates Using Molecular Dynamics Simulations and Convolutional Neural Networks

Using ATR-FTIR Spectra and Convolutional Neural Networks for Characterizing Mixed Plastic Waste

Property-Guided Generation of Complex Polymer Topologies Using Variational Autoencoders

Capturing Molecular Interactions in Graph Neural Networks: A Case Study in Multi-Component Phase Equilibrium

Sensing Gas Mixtures by Analyzing the Spatiotemporal Optical Responses of Liquid Crystals using 3D Convolutional Neural Networks

Scalable Extraction of Information from Spatio-Temporal Patterns of Chemoresponsive Liquid Crystals Using Topological Data Analysis

Physics-Guided Neural Networks for Transferable Prediction of Polymer Properties

Accelerating Multicomponent Phase-Coexistence Calculations with Physics-informed Neural Networks

8 results in Authors: Shengli Jiang