Michael S Chen

8PUBLICATIONS
28CO-AUTHORS
Quantum engineering systems (incl. computing and communications)PhotochemistryElectrical energy generation (incl. renewables, excl. photovoltaics)Theory and design of materialsNonlinear optics and spectroscopy
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Publications (8)

|Aug 17, 2026
Streamlining analysis and design of two-dimensional electronic spectroscopy using machine learning.

|Apr 01, 2026
Efficient simulation of optical spectra via machine learning and physical decomposition of environmental effects.

Andrew Snider, Michael S Chen, Thomas E Markland

|Oct 09, 2025
Machine learning-accelerated path integral molecular dynamics simulations of reactive organic electrolytes.

Michael S Chen, Alan Robledo, Christian Schäfer

|Apr 16, 2025
Direct observation and control of non-classical crystallization pathways in binary colloidal systems.

Shihao Zang, Sanjib Paul, Cheuk W Leung

|Dec 05, 2024
Accurate and Efficient Structure Elucidation from Routine One-Dimensional NMR Spectra Using Multitask Machine Learning.

Frank Hu, Michael S Chen, Grant M Rotskoff

|Jul 17, 2023
Elucidating the Role of Hydrogen Bonding in the Optical Spectroscopy of the Solvated Green Fluorescent Protein Chromophore: Using Machine Learning to Establish the Importance of High-Level Electronic Structure.

Michael S Chen, Yuezhi Mao, Andrew Snider

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Frequent Collaborators

6 joint publications

Thomas E Markland

2 joint publications

Matthew W Kanan

2 joint publications

Andrés Montoya-Castillo

2 joint publications

Frank Hu