Shengli (Bruce) Jiang

About Shengli (Bruce) Jiang

Shengli (Bruce) Jiang, With an exceptional h-index of 10 and a recent h-index of 10 (since 2020), a distinguished researcher at University of Wisconsin-Madison, specializes in the field of molecular modeling, machine learning, materials design, chemical engineering.

His recent articles reflect a diverse array of research interests and contributions to the field:

Robust plastic waste classification using wavelet transform multi-resolution analysis and convolutional neural networks

Convolutional neural networks: Basic concepts and applications in manufacturing

Property-Guided Generation of Complex Polymer Topologies Using Variational Autoencoders

Scalable extraction of information from spatiotemporal patterns of chemoresponsive liquid crystals using topological descriptors

Uncertainty Quantification for Molecular Property Predictions with Graph Neural Architecture Search

Capturing molecular interactions in graph neural networks: A case study in multi-component phase equilibrium

Online characterization of mixed plastic waste using machine learning and mid-infrared spectroscopy

Sensing gas mixtures by analyzing the spatiotemporal optical responses of liquid crystals using 3D convolutional neural networks

Shengli (Bruce) Jiang Information

University

Position

PhD student

Citations(all)

329

Citations(since 2020)

325

Cited By

83

hIndex(all)

10

hIndex(since 2020)

10

i10Index(all)

10

i10Index(since 2020)

10

Email

University Profile Page

Google Scholar

Shengli (Bruce) Jiang Skills & Research Interests

molecular modeling

machine learning

materials design

chemical engineering

Top articles of Shengli (Bruce) Jiang

Title

Journal

Author(s)

Publication Date

Robust plastic waste classification using wavelet transform multi-resolution analysis and convolutional neural networks

Computers & Chemical Engineering

Fei Long

Shengli Jiang

Ezra Bar-Ziv

Victor M Zavala

2024/2/1

Convolutional neural networks: Basic concepts and applications in manufacturing

Shengli Jiang

Shiyi Qin

Joshua L Pulsipher

Victor M Zavala

2024/1/1

Property-Guided Generation of Complex Polymer Topologies Using Variational Autoencoders

Shengli Jiang

Adji Bousso Dieng

Michael Webb

2024/2/20

Scalable extraction of information from spatiotemporal patterns of chemoresponsive liquid crystals using topological descriptors

The Journal of Physical Chemistry C

Shengli Jiang

Nanqi Bao

Alexander D. Smith

Shraddha Byndoor

Reid C. Van Lehn

...

2023/8/4

Uncertainty Quantification for Molecular Property Predictions with Graph Neural Architecture Search

arXiv preprint arXiv:2307.10438

Shengli Jiang

Shiyi Qin

Reid C Van Lehn

Prasanna Balaprakash

Victor M Zavala

2023/7/19

Capturing molecular interactions in graph neural networks: A case study in multi-component phase equilibrium

Digital Discovery

Shiyi Qin

Shengli Jiang

Jianping Li

Prasanna Balaprakash

Reid C Van Lehn

...

2023

Online characterization of mixed plastic waste using machine learning and mid-infrared spectroscopy

ACS Sustainable Chemistry & Engineering

Fei Long

Shengli Jiang

Adeyinka Gbenga Adekunle

Victor M Zavala

Ezra Bar-Ziv

2022/11/18

Sensing gas mixtures by analyzing the spatiotemporal optical responses of liquid crystals using 3D convolutional neural networks

ACS sensors

Nanqi Bao

Shengli Jiang

Alexander Smith

James J Schauer

Manos Mavrikakis

...

2022/8/23

Using ATR-FTIR spectra and convolutional neural networks for characterizing mixed plastic waste

Computers & Chemical Engineering

Shengli Jiang

Zhuo Xu

Medhavi Kamran

Stas Zinchik

Sidike Paheding

...

2021/12/1

Accurate characterization of mixed plastic waste using machine learning and fast infrared spectroscopy

ACS Sustainable Chemistry & Engineering

Stas Zinchik

Shengli Jiang

Søren Friis

Fei Long

Lasse Høgstedt

...

2021/10/12

Using machine learning and liquid crystal droplets to identify and quantify endotoxins from different bacterial species

Analyst

Shengli Jiang

JungHyun Noh

Chulsoon Park

Alexander D Smith

Nicholas L Abbott

...

2021

Graph neural network architecture search for molecular property prediction

Shengli Jiang

Prasanna Balaprakash

2020/12/10

Fast predictions of liquid-phase acid-catalyzed reaction rates using molecular dynamics simulations and convolutional neural networks

Chemical science

Alex K Chew

Shengli Jiang

Weiqi Zhang

Victor M Zavala

Reid C Van Lehn

2020

See List of Professors in Shengli (Bruce) Jiang University(University of Wisconsin-Madison)

Co-Authors

academic-engine