Citation Impact
Citing Papers
Neural network potential-energy surfaces in chemistry: a tool for large-scale simulations
2011
Machine learning for data-driven discovery in solid Earth geoscience
2019 StandoutScience
scaling for the onset of neoclassical tearing modes at ASDEX Upgrade
1998
Computer Simulation of Liquids
2017 Standout
A Nested Molecule-Independent Neural Network Approach for High-Quality Potential Fits
2005
High beta tokamak operation in DIII-D limited at low density/collisionality by resistive tearing modes
1997
Chapter 1: Overview and summary
1999 Standout
Stabilization of neoclassical tearing modes by electron cyclotron current drive
1997
Noncircular, finite aspect ratio, local equilibrium model
1998 Standout
On representing chemical environments
2013 Standout
Threshold for metastable tearing modes in DIII-D
1998
Broadband Ground Motions from 3D Physics‐Based Numerical Simulations Using Artificial Neural Networks
2018
Permutationally invariant potential energy surfaces in high dimensionality
2009 Standout
Chatting about ChatGPT: how may AI and GPT impact academia and libraries?
2023 Standout
Zonal flows in plasma—a review
2005 Standout
Neural networks and their applications
1994
Works of C.M. Roach being referenced
Zonal flow and streamer generation in drift turbulence
2001
Trapped particle precession in advanced tokamaks
1995
Zonal flow and streamer generation in drift turbulence
2001
Automatic analysis of JET charge exchange spectra using neural networks
1993
Fast curve fitting using neural networks
1992
The collisionality dependence of tokamak -limits
1996