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ESAMP: Event-Sourced Architecture for Materials Provenance Management and Application to Accelerated Materials Discovery

Michael Statt, Brian A. Rohr, Kris S. Brown, Dan Guevarra, Jens Strabo Hummelshøj, Linda Hung, abraham anapolsky, John Gregoire, Santosh Suram

Version 2 posted 10 May 2023

511

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1

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Theoretical and Computational Chemistry

Working Paper

Random Forest Machine Learning Models for Interpretable X-Ray Absorption Near-Edge Structure Spectrum-Property Relationships

Steven Torrisi, Matthew Carbone, Brian Rohr, Joseph H. Montoya, Yang Ha, Junko Yano, Santosh Suram, Linda Hung

Version 1 posted 20 February 2020

749

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Materials Science

Working Paper

DBgen: A Python Library for Defining Scalable, Maintainable, Accessible, Reconfigurable, Transparent (SMART) Data Pipelines

Michael Statt, Kristopher Brown, Santosh Suram, Linda Hung, Daniel Schweigert, John Gregoire, Brian Rohr

Version 1 posted 30 July 2021

444

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Materials Chemistry

Working Paper

An Electrochemical Series for Materials

Tim Mueller, Joseph Montoya, Weike Ye, Xiangyun Lei, Linda Hung, Jens Hummelshøj, Michael Puzon, Daniel Martinez, Chris Fajardo, Rachel Abela

Version 3 posted 11 March 2024

644

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Materials Science

Working Paper

Solving Inorganic Crystal Structures from X-ray Powder Diffraction Using a Generative First-Principles Framework

Handong Ling, Linda Hung, Joseph Montoya, Muratahan Aykol

Version 1 posted 22 March 2022

527

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Polymer Science

Working Paper

Early prediction of ion transport properties in solid polymer electrolytes using machine learning and system behavior-based descriptors of molecular dynamics simulations

Arash Khajeh, Daniel Schweigert, Steven Torrisi, Linda Hung, Brian Storey, Ha-Kyung Kwon

Version 2 posted 19 June 2023

654

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Materials Science

Working Paper

Autonomous laboratories for accelerated materials discovery: a community survey and practical insights

Linda Hung, Joyce Yager, Danielle Monteverde, Dave Baiocchi, Ha-Kyung Kwon, Shijing Sun, Santosh Suram

Version 1 posted 01 March 2024

332

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7 results in Linda Hung in Authors: Linda Hung

ESAMP: Event-Sourced Architecture for Materials Provenance Management and Application to Accelerated Materials Discovery

Random Forest Machine Learning Models for Interpretable X-Ray Absorption Near-Edge Structure Spectrum-Property Relationships

DBgen: A Python Library for Defining Scalable, Maintainable, Accessible, Reconfigurable, Transparent (SMART) Data Pipelines

An Electrochemical Series for Materials

Solving Inorganic Crystal Structures from X-ray Powder Diffraction Using a Generative First-Principles Framework

Early prediction of ion transport properties in solid polymer electrolytes using machine learning and system behavior-based descriptors of molecular dynamics simulations

Autonomous laboratories for accelerated materials discovery: a community survey and practical insights

7 results in Authors: Linda Hung