Zachary Ulissi

Citation name:

Ulissi, Z.
Affiliation:

Carnegie Mellon University
State:

PA
Country:

USA

Sessions chaired or co-chaired:

Applications of Data Science in Catalysis and Reaction Engineering I

2018 AIChE Annual Meeting (ISBN: 978-0-8169-1108-0)

Applications of Data Science in Catalysis and Reaction Engineering II

2018 AIChE Annual Meeting (ISBN: 978-0-8169-1108-0)

Data Science in Catalysis I

2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)

Data Science in Catalysis II

2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)

Authored:

(240f) Active Learning across Intermetallics Guides Discovery of Electrocatalysts for Carbon Dioxide Reduction and Hydrogen Evolution

2018 AIChE Annual Meeting (ISBN: 978-0-8169-1108-0)

(699d) Methods to Exploit Large Datasets in Catalysis

2018 AIChE Annual Meeting (ISBN: 978-0-8169-1108-0)

(189i) Capturing Non-Ideal Surfactant/Nanoparticle Interfacial Structure with Variable Coverage Molecular Simulations

2018 AIChE Annual Meeting (ISBN: 978-0-8169-1108-0)

(544ds) Using Data Science to Reduce Large Reaction Networks in Catalysis

2018 AIChE Annual Meeting (ISBN: 978-0-8169-1108-0)

(240g) Design of Optimal Metallic Surface Reconstructions for Heterogeneous Catalysis

Christopher L. Hanselman

Chrysanthos E. Gounaris

2018 AIChE Annual Meeting (ISBN: 978-0-8169-1108-0)

(611g) Practical Applications of Machine Learning to Catalyst Design and Discovery

2018 AIChE Annual Meeting (ISBN: 978-0-8169-1108-0)

(544at) Prediction of Surface Energies for Complex Pt Structures from Coordination Number and Generalized Coordination Number

Christopher L. Hanselman

Chrysanthos E. Gounaris

2018 AIChE Annual Meeting (ISBN: 978-0-8169-1108-0)

(538g) Automated DFT Calculations for the High-Throughput Screening of Oxygen Evolution Reaction Catalysts

2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)

(247i) Thermodynamic Techniques to Capture Non-Ideal Surfactant Assembly at Hard Nanoscale Interfaces

2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)

(246h) Graph Convolutional Machine Learning Methods for the Predictions of Adsorption and Thermochemistry and Surface Stability

2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)

(560bz) Multi-Task Machine Learning to Predict ORR Catalyst Descriptors and Performance across Surface Composition

2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)

(376aq) Phase Thermodynamics and Ab Initio Simulations to Optimize Oxidation Resistance of High Entropy Alloys in Additive Manufacturing

Amish Chovatiya

Maarten De Boer

2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)

Associated proceedings:

2018 AIChE Annual Meeting

2019 AIChE Annual Meeting

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2018 AIChE Annual Meeting

2019 AIChE Annual Meeting

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