381 citations · 1.5k across the 52 of their papers we have counts for
7 papers · 1 filter
Comparative biosignatures with systemic retrievals
Tereza Constantinou, Oliver Shorttle, Miles Cranmer +1
The discovery of inhabited exoplanets hinges on identifying biosignature gases. JWST can reveal biosignature gases, though current discoveries have yet to evidence life. The centra…
Accelerating Giant Impact Simulations with Machine Learning
Caleb Lammers, Miles Cranmer, Sam Hadden +3
Constraining planet formation models based on the observed exoplanet population requires generating large samples of synthetic planetary systems, which can be computationally prohi…
A Neural Network Subgrid Model of the Early Stages of Planet Formation
Thomas Pfeil, Miles Cranmer, Shirley Ho +3
Planet formation is a multi-scale process in which the coagulation of -sized dust grains in protoplanetary disks is strongly influenced by the hydrodynamic processes o…
Stability Constrained Characterization of the 23 Myr-old V1298 Tau System: Do Young Planets Form in Mean Motion Resonance Chains?
Roberto Tejada Arevalo, Daniel Tamayo, Miles Cranmer
A leading theoretical expectation for the final stages of planet formation is that disk migration should naturally drive orbits into chains of mean motion resonances (MMRs). In ord…
Rediscovering orbital mechanics with machine learning
Pablo Lemos, Niall Jeffrey, Miles Cranmer +2
We present an approach for using machine learning to automatically discover the governing equations and hidden properties of real physical systems from observations. We train a "gr…
A Bayesian neural network predicts the dissolution of compact planetary systems
Miles Cranmer, Daniel Tamayo, Hanno Rein +5
Despite over three hundred years of effort, no solutions exist for predicting when a general planetary configuration will become unstable. We introduce a deep learning architecture…
Predicting the long-term stability of compact multiplanet systems
Daniel Tamayo, Miles Cranmer, Samuel Hadden +11
We combine analytical understanding of resonant dynamics in two-planet systems with machine learning techniques to train a model capable of robustly classifying stability in compac…