Convolutional Neural Network

Scalable Extraction of Information from Spatio-Temporal Patterns of Chemoresponsive Liquid Crystals Using Topological Data Analysis
Chemoresponsive liquid crystals (LCs) can be engineered to generate information-rich optical responses upon exposure to gas …
Shengli Jiang, Nanqi Bao, Alexander D Smith, Shraddha Byndoor, Reid C Van Lehn, Manos Mavrikakis, Nicholas L Abbott, Victor M Zavala
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Scalable Extraction of Information from Spatio-Temporal Patterns of Chemoresponsive Liquid Crystals Using Topological Data Analysis
Convolutional Neural Networks: Basic Concepts and Applications in Manufacturing
We discuss basic concepts of convolutional neural networks (CNNs) and outline uses in manufacturing. We begin by discussing how …
Shengli Jiang, Shiyi Qin, Joshua L Pulsipher, Victor M Zavala
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Convolutional Neural Networks: Basic Concepts and Applications in Manufacturing
Sensing Gas Mixtures by Analyzing the Spatiotemporal Optical Responses of Liquid Crystals Using 3D Convolutional Neural Networks
We report how analysis of the spatial and temporal optical responses of liquid crystal (LC) films to targeted gases, when performed …
Nanqi Bao, Shengli Jiang, Alexander D Smith, James J Schauer, Manos Mavrikakis, Reid C Van Lehn, Victor M Zavala, Nicholas L Abbott
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Sensing Gas Mixtures by Analyzing the Spatiotemporal Optical Responses of Liquid Crystals Using 3D Convolutional Neural Networks
Convolutional neural nets in chemical engineering: Foundations, computations, and applications
In this article, we review the mathematical foundations of convolutional neural nets (CNNs) with the goals of (i) highlighting …
Shengli Jiang, Victor M Zavala
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Convolutional neural nets in chemical engineering: Foundations, computations, and applications
Using machine learning and liquid crystal droplets to identify and quantify endotoxins from different bacterial species
Detection and quantification of bacterial endotoxins is important in a range of health-related contexts, including during …
Shengli Jiang, JungHyun Noh, Chulsoon Park, Alexander D Smith, Nicholas L Abbott, Victor M Zavala
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Using machine learning and liquid crystal droplets to identify and quantify endotoxins from different bacterial species
Fast predictions of liquid-phase acid-catalyzed reaction rates using molecular dynamics simulations and convolutional neural networks
The rates of liquid-phase, acid-catalyzed reactions relevant to the upgrading of biomass into high-value chemicals are highly sensitive …
Alex K Chew, Shengli Jiang, Weiqi Zhang, Victor M Zavala, Reid C Van Lehn
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Fast predictions of liquid-phase acid-catalyzed reaction rates using molecular dynamics simulations and convolutional neural networks