update NOTICE from FUSE default

NOTICE.md

@@ -4,13 +4,17 @@ The purpose of this NOTICE file is to provide legal notices and acknowledgments
 
 ## Development Attribution
 
-TGLFNN.jl was originally developed under the FUSE project by the Magnetic Fusion Energy group at General Atomics.
+TGLFNN.jl was originally developed by the GA Theory division of the Magnetic Fusion Energy group at General Atomics. This work is supported by the U.S. DOE under DE-SC0018990 (MAST-U), DE-SC0024426 (FDP), DE-SC0022031 (ALF), DE-SC0017992 (AToM), DE-FG02-95ER54309 (GA Theory), DE-FC02-04ER54698 (DIII-D), and used computational resources at NERSC (DOE-AC02-05CH11231). Part of this work has been funded by the United Kingdom EPSRC Energy Programme EP/W006839/1 and the DOE Office of Workforce Development for Teachers and Scientists (WDTS) under the Science Undergraduate Laboratory Internships (SULI) program.
 
 ## Citation
 
 If this software contributes to an academic publication, please cite it as follows:
 
-> O. Meneghini, T. Slendebroek, B.C. Lyons, K. McLaughlin, J. McClenaghan, L. Stagner, J. Harvey, T.F. Neiser, A. Ghiozzi, G. Dose, J. Guterl, A. Zalzali, T. Cote, N. Shi, D. Weisberg, S.P. Smith, B.A. Grierson, _FUSE: A next generation framework for integrated design of fusion pilot plants_, Proceedings of the IAEA FEC 2023 Conference, (2023)
+TGLF-NN:
+> Tom Neiser, Orso Meneghini, Sterling Smith, Joseph McClenaghan, David Orozco, Joseph Hall, Gary Staebler, Emily Belli, Jeff Candy, _Database generation for validation of TGLF and retraining of neural network accelerated TGLF-NN_, APS Division of Plasma Physics Meeting Abstracts (2022)
+
+GKNN:
+> Tom Neiser, Orso Meneghini, Sterling Smith, Joseph McClenaghan, Tim Slendebroek, David Orozco, Brian Sammuli, Gary Staebler, Joseph Hall, Emily Belli, Jeff Candy, _Multi-fidelity neural network representation of gyrokinetic turbulence_, APS Division of Plasma Physics Meeting Abstracts (2023)
 
 ## Trademark Notice
 

README.md

@@ -1,14 +1,21 @@
 # TGLFNN.jl
 
-Run TGLFNN, TGLF, and QLGYRO models
+Run TGLF-NN, TGLF, and QLGYRO models
 
 NOTE: Running TGLF and QLGYRO requires GACODE executables to be locally installed.
 
-Link to instructions on GACODE installation: https://fuse.help/install.html#Install-GACODE
-
-See the note following step 6 - you may need to replace mpif90-openmpi-mp with mpif90-openmpi-gcc12 in the platform-specific make file found in $GACODE_ROOT/platform/build/make.inc.OSX_MONTEREY and mpirun-openmpi-mp with mpirun-openmpi-gcc12 in the platform exec file found in $GACODE_ROOT/platform/exec/exec.OSX_MONTEREY.
+Link to instructions on GACODE installation: https://gacode.io/build.html
 
 ## Online documentation
 For more details, see the [online documentation](https://projecttorreypines.github.io/TGLFNN.jl/dev).
 
 ![Docs](https://github.com/ProjectTorreyPines/TGLFNN.jl/actions/workflows/make_docs.yml/badge.svg)
+
+If this software contributes to an academic publication, please cite it as follows:
+
+## Citation
+TGLF-NN:
+> Tom Neiser, Orso Meneghini, Sterling Smith, Joseph McClenaghan, David Orozco, Joseph Hall, Gary Staebler, Emily Belli, Jeff Candy, _Database generation for validation of TGLF and retraining of neural network accelerated TGLF-NN_, APS Division of Plasma Physics Meeting Abstracts (2022)
+
+GKNN:
+> Tom Neiser, Orso Meneghini, Sterling Smith, Joseph McClenaghan, Tim Slendebroek, David Orozco, Brian Sammuli, Gary Staebler, Joseph Hall, Emily Belli, Jeff Candy, _Multi-fidelity neural network representation of gyrokinetic turbulence_, APS Division of Plasma Physics Meeting Abstracts (2023)