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researcher

K. D. Humfeld

3 papers here

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

author position
  • first author1
  • last author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG3

identity via Semantic Scholar / OpenAlex

activity
20192021
most citedAn Iterative Scientific Machine Learning Approach for Discovery of Theories Underlying Physical Phenomena

4 citations · 4 across the 1 of their papers we have counts for

collaborators

3 papers

cs.LG2021

A Machine Learning Framework for Real-time Inverse Modeling and Multi-objective Process Optimization of Composites for Active Manufacturing Control

Keith D. Humfeld, Dawei Gu, Geoffrey A. Butler +2

For manufacturing of aerospace composites, several parts may be processed simultaneously using convective heating in an autoclave. Due to uncertainties including tool placement, co…

cs.LG2020

A Physics-Informed Machine Learning Approach for Solving Heat Transfer Equation in Advanced Manufacturing and Engineering Applications

Navid Zobeiry, Keith D. Humfeld

A physics-informed neural network is developed to solve conductive heat transfer partial differential equation (PDE), along with convective heat transfer PDEs as boundary condition…

cs.LG2019★ 4 cited

An Iterative Scientific Machine Learning Approach for Discovery of Theories Underlying Physical Phenomena

Navid Zobeiry, Keith D. Humfeld

Form a pure mathematical point of view, common functional forms representing different physical phenomena can be defined. For example, rates of chemical reactions, diffusion and he…

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