Launch week offerEnds in00h00m00s

annual Promonthly Pro

Evan Spotte-Smith

Has grant

Ad Astra Fellow and Assistant Professor of Digital Chemistry

University College Dublin

Ireland

Research Interests

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Explore related searches

Professors in Ireland Professors in Electrochemistry Electrochemistry professors in Ireland

Recent Grants

Grant: Close

Direct Introduction of Competition and Kinetics to Materials Mechanism and Reaction Network Prediction

Open Date: 2024-09-01

Close Date: 2026-08-01

Articles (18)

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Collaborators (9)

Heonjae Jeong

Assistant Professor

Sogang University

SOUTH KOREA

View details

Alex M. Ganose

Lecturer

Imperial College London

UNITED KINGDOM

View details

Andrew Rosen

Assistant Professor

Princeton University

UNITED STATES

View details

Mingjian Wen

Professor

University of Houston

UNITED STATES

View details

Ryan Kingsbury

Assistant Professor

Princeton University

UNITED STATES

View details

Kristin A. Persson

Daniel M. Tellep Distinguished Professor

University of California, Berkeley

UNITED STATES

View details

Andrew Colclasure

National Renewable Energy Laboratory

UNITED STATES

View details

Sudarshan Vijay

Assistant Professor

Indian Institute of Technology, Bombay

View details

Emory Chan

Lawrence Berkeley National Laboratory

UNITED STATES

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Evan Spotte-Smith

Research Interests

Make your next move.

Explore related searches

Recent Grants

Articles (18)

Accelerated data-driven materials science with the Materials Project

HEPOM: Using Graph Neural Networks for the Accelerated Predictions of Hydrolysis Free Energies in Different pH Conditions

Gradient-based optimization of complex nanoparticle heterostructures enabled by deep learning on heterogeneous graphs

Considering the ethics of large machine learning models in the chemical sciences

A Critical Analysis of Chemical and Electrochemical Oxidation Mechanisms in Li-Ion Batteries

Continuum-Level Modeling of Li-Ion Battery SEI by Upscaling Atomistically Informed Reaction Mechanisms

Decomposition of Electrolyte Solutions at Positive Electrodes

Solubilities of Ethylene and Carbon Dioxide Gases in Lithium-Ion Battery Electrolyte

Design Principles and Routes for Calcium Alkoxyaluminate Electrolytes

CoeffNet: predicting activation barriers through a chemically-interpretable, equivariant and physically constrained graph neural network

RNMC: kinetic Monte Carlo implementations for complex reaction networks

Ethylene Carbonate Oxidation Due to Reactive Oxygen Species Near the Cathode: Insights from High-Throughput DFT Calculations and Monte Carlo Simulations

Chemical reaction networks and opportunities for machine learning

Assessing the Accuracy of Density Functional Approximations for Predicting Hydrolysis Reaction Kinetics

Chemical Reaction Networks Explain Gas Evolution Mechanisms in Mg-Ion Batteries

Elementary Decomposition Mechanisms of Lithium Hexafluorophosphate in Battery Electrolytes and Interphases

A database of molecular properties integrated in the Materials Project

Predictive stochastic analysis of massive filter-based electrochemical reaction networks

Collaborators (9)

Heonjae Jeong

Alex M. Ganose

Andrew Rosen

Mingjian Wen

Ryan Kingsbury

Kristin A. Persson

Andrew Colclasure

Sudarshan Vijay

Emory Chan

Make your next move.