Concepedia

Author

Joseph Abbate

Princeton University

Also Known As

Abbate, Joseph, J. Abbate, Joseph Abbate, for the DIII-D Team:

31

Publications

347

Citations

8

H-Index

22

Concepts

All Affiliations

Princeton UniversityPrinceton Plasma Physics LaboratoryChung-Ang UniversityGeneral Atomics (United States)The University of Texas at Austin
JA

About

Joseph Abbate is an author at Princeton University specializing in engineering, machine learning, and deep learning.

Top Concepts

#ConceptH-IndexPublicationsCitations

1

Engineering

4

4

123

2

Computer Science

3

3

100

3

Data Science

3

3

71

4

Computer Engineering

2

2

75

5

Systems Engineering

1

1

22

Joseph Abbate

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7

Publications

296

Citations

7

H-Index

YearCitations

Avoiding fusion plasma tearing instability with deep reinforcement learning

Jaemin Seo, S.K. Kim, Azarakhsh Jalalvand,

Nature

2024

108

Keras2c: A library for converting Keras neural networks to real-time compatible C

Rory Conlin, Keith Erickson, Joseph Abbate,

Engineering Applications of Artificial Intelligence

2021

52

DIII-D research advancing the physics basis for optimizing the tokamak approach to fusion energy

M.E. Fenstermacher, Joseph Abbate, Shota Abe,

Nuclear Fusion

2021

34

Data-driven profile prediction for DIII-D

Joseph Abbate, Rory Conlin, Egemen Kolemen

Nuclear Fusion

2021

31

Real-Time and Adaptive Reservoir Computing With Application to Profile Prediction in Fusion Plasma

Azarakhsh Jalalvand, Joseph Abbate, Rory Conlin,

IEEE Transactions on Neural Networks and Learning Systems

2021

26

Machine learning-based real-time kinetic profile reconstruction in DIII-D

Ricardo Shousha, Jaemin Seo, Keith Erickson,

Nuclear Fusion

2023

23

Alfvén eigenmode classification based on ECE diagnostics at DIII-D using deep recurrent neural networks

Azarakhsh Jalalvand, Alan A. Kaptanoglu, A. Garcia,

Nuclear Fusion

2021

22

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