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researcher

J. Melville

2 papers hereh-index 5173 citations16 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • eess.SY1
  • physics.comp-ph1

identity via Semantic Scholar / OpenAlex

most citedA Novel Physics-Regularized Interpretable Machine Learning Model for Grain Growth

34 citations · 34 across the 2 of their papers we have counts for

collaborators

2 papers

eess.SY2025

Toward Trusted Onboard AI: Advancing Small Satellite Operations using Reinforcement Learning

Cannon Whitney, Joseph Melville

A RL (Reinforcement Learning) algorithm was developed for command automation onboard a 3U CubeSat. This effort focused on the implementation of macro control action RL, a technique…

physics.comp-ph2022★ 34 cited

A Novel Physics-Regularized Interpretable Machine Learning Model for Grain Growth

Weishi Yan, Joseph Melville, Vishal Yadav +6

Experimental grain growth observations often deviate from grain growth simulations, revealing that the governing rules for grain boundary motion are not fully understood. A novel d…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.