Christopher J. Earls
Professor
Civil & Environmental Engr DEPT · EN
Recent Papers (9)
2026-04-13 · PRX Quantum · Atomic and Molecular Physics, and Optics
Fourier Neural Operators for Time-Periodic Quantum Systems: Learning Floquet Hamiltonians, Observable Dynamics, and Operator Growth
Christopher EarlsProfessor, Civil & Environmental Engr DEPT · EN
2026-04-13 · PRX Quantum · Atomic and Molecular Physics, and Optics
Fourier Neural Operators for Time-Periodic Quantum Systems: Learning Floquet Hamiltonians, Observable Dynamics, and Operator Growth
Christopher EarlsProfessor, Civil & Environmental Engr DEPT · EN
2022-03-22
Data-driven discovery of Green’s functions with human-understandable deep learning
Christopher EarlsProfessor, Civil & Environmental Engr DEPT · EN
Alex TownsendProf Assoc, Mathematics · CAS
2021-09-06
Deep learning for classifying and characterizing atmospheric ducting within the maritime setting
Christopher EarlsProfessor, Civil & Environmental Engr DEPT · EN
2021-04-02
A principled approach to design using high fidelity fluid-structure interaction simulations
Christopher EarlsProfessor, Civil & Environmental Engr DEPT · EN
2020-05-29
Gaussian Process Regression for Estimating EM Ducting Within the Marine Atmospheric Boundary Layer
Christopher J. EarlsProfessor, Civil & Environmental Engr DEPT · EN
2019-10-31
Characterizing Evaporation Ducts Within the Marine Atmospheric Boundary Layer Using Artificial Neural Networks
Christopher EarlsProfessor, Civil & Environmental Engr DEPT · EN
2019-06-17
Analysis of heterogeneous computing approaches to simulating heat transfer in heterogeneous material
Christopher EarlsProfessor, Civil & Environmental Engr DEPT · EN
2019-03-27
A Subspace Pursuit Method to Infer Refractivity in the Marine Atmospheric Boundary Layer
Christopher EarlsProfessor, Civil & Environmental Engr DEPT · EN