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Energy

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A machine learning framework for remaining useful lifetime prediction of li-ion batteries using diverse neural networks

Junghwan Lee, Huanli Sun, Yongshan Liu, Xue Li

Version 2 posted 15 September 2023

343

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Theoretical and Computational Chemistry

Working Paper

Accelerated Modeling of Lithium Diffusion in Solid State Electrolytes Using Artificial Neural Networks

Karun Kumar Rao, Yan Yao, Lars Grabow

Version 1 posted 07 May 2020

886

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Theoretical and Computational Chemistry

Working Paper

Machine Learning Accelerates the Discovery of Design Rules and Exceptions in Stable Metal-Oxo Intermediate Formation

Aditya Nandy, Jiazhou Zhu, Jon Paul Janet, Chenru Duan, Rachel Getman, Heather Kulik

Version 1 posted 28 May 2019

821

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1

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Theoretical and Computational Chemistry

Working Paper

Seeing is Believing: Experimental Spin States from Machine Learning Model Structure Predictions

Michael Taylor, Tzuhsiung Yang, Sean Lin, Aditya Nandy, Jon Paul Janet, Chenru Duan, Heather Kulik

Version 1 posted 21 February 2020

763

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Theoretical and Computational Chemistry

Working Paper

Mol2vec: Unsupervised Machine Learning Approach with Chemical Intuition

Sabrina Jaeger, Simone Fulle, Samo Turk

Version 1 posted 23 October 2017

4,974

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2

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Analytical Chemistry

Working Paper

A Rapid Dynamic Headspace Method for Authentication of Whiskies using Artificial Neural Networks

James Swift, Matthew Arran Turner, James Christopher Reynolds

Version 1 posted 14 February 2023

148

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Catalysis

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Kinetics-Constrained Neural Ordinary Differential Equations: Artificial Neural Network Models tailored for Small Data to boost Kinetic Model Development

Aleksandr Fedorov, Anna Perechodjuk, David Linke

Version 1 posted 15 May 2023

915

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Chemical Engineering and Industrial Chemistry

Working Paper

Physics-based neural networks for simulation and synthesis of cyclic adsorption processes

Sai Gokul Subraveti, Zukui Li, Vinay Prasad, Arvind Rajendran

Version 2 posted 25 February 2022

711

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1

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Biological and Medicinal Chemistry

Working Paper

Natural Product Scores and Fingerprints Extracted from Artificial Neural Networks.

Janosch Menke, Joana Massa, Oliver Koch

Version 2 posted 26 July 2021

409

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Theoretical and Computational Chemistry

Working Paper

Artificial Neural Network to Predict Structure-based Protein-protein Free Energy of Binding from Rosetta-calculated Properties

Matheus Ferraz, José Neto, Roberto Lins, Erico Teixeira

Version 1 posted 09 August 2022

779

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14 results in Artificial neural networks in Keywords: Artificial neural networks

A machine learning framework for remaining useful lifetime prediction of li-ion batteries using diverse neural networks

Accelerated Modeling of Lithium Diffusion in Solid State Electrolytes Using Artificial Neural Networks

Machine Learning Accelerates the Discovery of Design Rules and Exceptions in Stable Metal-Oxo Intermediate Formation

Seeing is Believing: Experimental Spin States from Machine Learning Model Structure Predictions

Mol2vec: Unsupervised Machine Learning Approach with Chemical Intuition

A Rapid Dynamic Headspace Method for Authentication of Whiskies using Artificial Neural Networks

Kinetics-Constrained Neural Ordinary Differential Equations: Artificial Neural Network Models tailored for Small Data to boost Kinetic Model Development

Physics-based neural networks for simulation and synthesis of cyclic adsorption processes

Natural Product Scores and Fingerprints Extracted from Artificial Neural Networks.

Artificial Neural Network to Predict Structure-based Protein-protein Free Energy of Binding from Rosetta-calculated Properties

14 results in Keywords: Artificial neural networks