Christopher Bartel

Assistant Professor

University of Minnesota

United States

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Christopher Bartel is an Assistant Professor at the University of Minnesota, USA. His research focuses on inorganic materials, particularly in areas such as topological descriptors for electron density, growth dynamics of metal oxides, and the synthesis of battery materials. He has published extensively on topics including catalytic resonance theory and the stability of chalcogenide perovskites.

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2022

Collaborators (13)

Yan Zeng

Assistant Professor

Florida State University

UNITED STATES

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Bin Ouyang

Assistant professor

Florida State University

UNITED STATES

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Paul J. Dauenhauer

University of Minnesota

UNITED STATES

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James Furness

Research Assistant Professor

Tulane University

UNITED STATES

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Peichen Zhong

Assistant Professor

National University of Singapore

SINGAPORE

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Peter G. Khalifah

Stony Brook University

UNITED STATES

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Omar Abdelrahman

Assistant professor

University of Massachusetts Amherst

UNITED STATES

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Allison Wustrow

Assistant Professor

Université de Sherbrooke

CANADA

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Bharat Gwalani

Assistant Professor

North Carolina State University

UNITED STATES

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Gerbrand Ceder

UNITED STATES

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James Neilson

Assistant Professor

Colorado State University

UNITED STATES

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Jianwei Sun

Assistant Professor

Tulane University

UNITED STATES

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Geoff Brennecka

Associate Professor and Fryrear Chair for Innovation

Colorado School of Mines

UNITED STATES

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Christopher Bartel

Research Interests

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About

Articles (25)

Origins of chalcogenide perovskite instability

Topological Descriptors for the Electron Density of Inorganic Solids

Unraveling the Growth Dynamics of Rutile Sn1–xGexO2 Using Theory and Experiment

Catalytic resonance theory: forecasting the flow of programmable catalytic loops

Establishing baselines for generative discovery of inorganic crystals

Quantifying the regime of thermodynamic control for solid-state reactions during ternary metal oxide synthesis

Selective formation of metastable polymorphs in solid-state synthesis

Computationally Guided Synthesis of Battery Materials

Dynamic Promotion of the Oxygen Evolution Reaction via Programmable Metal Oxides

Selective Synthesis of Defect-Rich LaMnO3 by Low-Temperature Anion Cometathesis

Text Mining the Literature to Inform Experiments and Rationalize Impurity Phase Formation for BiFeO3

Accelerating the prediction of inorganic surfaces with machine learning interatomic potentials

Testing the r2SCAN Density Functional for the Thermodynamic Stability of Solids with and without a van der Waals Correction

CHGNet as a pretrained universal neural network potential for charge-informed atomistic modelling

Modeling Short-Range Order in Disordered Rocksalt Cathodes by Pair Distribution Function Analysis

Precursor recommendation for inorganic synthesis by machine learning materials similarity from scientific literature

Adaptively driven X-ray diffraction guided by machine learning for autonomous phase identification

Thermodynamic and Kinetic Barriers Limiting Solid-State Reactions Resolved through In Situ Synchrotron Studies of Lithium Halide Salts

Phase Stability and Kinetics of Topotactic Dual Ca<sup>2+</sup>–Na<sup>+</sup> Ion Electrochemistry in NaSICON NaV<sub>2</sub>(PO<sub>4</sub>)<sub>3</sub>

Autonomous and dynamic precursor selection for solid-state materials synthesis

Solid-source metal-organic MBE for elemental Ir and Ru films

An autonomous laboratory for the accelerated synthesis of novel materials

Machine-Learning Rationalization and Prediction of Solid-State Synthesis Conditions

High-Throughput Selection and Experimental Realization of Two New Ce-Based Nitride Perovskites: CeMoN3 and CeWN3

Understanding the Fluorination of Disordered Rocksalt Cathodes through Rational Exploration of Synthesis Pathways

Collaborators (13)

Yan Zeng

Bin Ouyang

Paul J. Dauenhauer

James Furness

Peichen Zhong

Peter G. Khalifah

Omar Abdelrahman

Allison Wustrow

Bharat Gwalani

Gerbrand Ceder

James Neilson

Jianwei Sun

Geoff Brennecka

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