Prof. Ryan Johnson — Research Profile
Carnegie Mellon University · Mechanical Engineering
About
Prof. Ryan Johnson at Carnegie Mellon University Mechanical Engineering lists Computational fluid dynamics, Machine learning, Multiscale modeling, Numerical methods as their registered research area.
Research keywords
Recent papers
- CFD Forge: A Physics-Constrained Agentic Framework for Autonomous CFDNewPreprintarXiv (Cornell University) · Oct 8
- Foundational Fuel Chemistry Model 2 — Can data assimilation yield useful insights in reaction rate constants?Combustion and Flame · Sep 12
From OpenAlex · papers whose author affiliation matches this university
Labs doing related research
Labs that recently published on topics this lab's recent papers share
Sili Deng 교수 연구실
Massachusetts Institute of Technology · Department of Mechanical Engineering
Development and validation of a retuning-free skeletal mechanism for NH3/H2/Air combustionNewCombustion and Flame · Oct 21Shared topic: Advanced Combustion Engine Technologies
Hai Wang 교수 연구실
Stanford University · Mechanical Engineering
Foundational Fuel Chemistry Model 2 — Can data assimilation yield useful insights in reaction rate constants?Combustion and Flame · Sep 12Shared topic: Advanced Combustion Engine Technologies
Themistoklis Sapsis 교수 연구실
Massachusetts Institute of Technology · Department of Mechanical Engineering
Dynamics-informed deep learning for predicting extreme eventsNewProceedings of the Royal Society A Mathematical Physical and Engineering Sciences · Oct 21Shared topic: Model Reduction and Neural Networks
Other labs in this department
- Aaron Johnson 교수 연구실
Robotics, Legged and aerial robotics, Controls and automation, Bioinspired robotics
- Alan McGaughey 교수 연구실
Energy, Transport phenomena, Nanoscience, Multiscale modeling, Materials science
- Amir Barati Farimani 교수 연구실
Machine learning, Computational fluid dynamics, Computational modeling, Robotics, Digital twins
- Burak Ozdoganlar 교수 연구실
Advanced manufacturing, Micro/nanoengineering, Biomanufacturing, Precision engineering, Medical devices
- Carmel Majidi 교수 연구실
Soft robotics, Wearable robotics, Advanced manufacturing, Micro/nanoengineering
- Christopher McComb 교수 연구실
Machine learning, Engineering design, Human-AI teaming, Generative design