docs: update README

Author: avik-pal

README.md

@@ -1,6 +1,50 @@
-# NeuralOperators
+# NeuralOperators.jl
 
-NeuralOperators built using [Lux.jl](https://lux.csail.mit.edu/).
-For a version built using an old-generation framework [Flux.jl](https://fluxml.ai/), see
-[NeuralOperators.jl](https://docs.sciml.ai/NeuralOperators/stable/), though that version
-will be soon replaced by this one.
+[![Join the chat at https://julialang.zulipchat.com #sciml-bridged](https://img.shields.io/static/v1?label=Zulip&message=chat&color=9558b2&labelColor=389826)](https://julialang.zulipchat.com/#narrow/stream/279055-sciml-bridged)
+[![Global Docs](https://img.shields.io/badge/docs-SciML-blue.svg)](https://docs.sciml.ai/NeuralOperators/stable/)
+
+[![codecov](https://codecov.io/gh/SciML/NeuralOperators.jl/branch/master/graph/badge.svg)](https://codecov.io/gh/SciML/NeuralOperators.jl)
+[![Build Status](https://github.com/SciML/NeuralOperators.jl/workflows/CI/badge.svg)](https://github.com/SciML/NeuralOperators.jl/actions?query=workflow%3ACI)
+[![Build status](https://badge.buildkite.com/dd09599b08f61de1b5c7960aacd5390554c53e3b54f1407ba1.svg?branch=main)](https://buildkite.com/julialang/neuraloperators-dot-jl)
+
+[![ColPrac: Contributor's Guide on Collaborative Practices for Community Packages](https://img.shields.io/badge/ColPrac-Contributor%27s%20Guide-blueviolet)](https://github.com/SciML/ColPrac)
+[![SciML Code Style](https://img.shields.io/static/v1?label=code%20style&message=SciML&color=9558b2&labelColor=389826)](https://github.com/SciML/SciMLStyle)
+
+NeuralOperators.jl is a package written in Julia to provide the architectures for learning
+mapping between function spaces, and learning grid invariant solution of PDEs. Checkout the
+[documentation](https://docs.sciml.ai/NeuralOperators/stable/) for tutorials and API
+reference.
+
+## Installation
+
+On Julia 1.10+, you can install `NeuralOperators.jl` by running
+
+```julia
+import Pkg
+Pkg.add("NeuralOperators")
+```
+
+## Citation
+
+If you found this library to be useful in academic work, then please cite:
+
+```bibtex
+@software{pal2023lux,
+  author    = {Pal, Avik},
+  title     = {{Lux: Explicit Parameterization of Deep Neural Networks in Julia}},
+  month     = apr,
+  year      = 2023,
+  note      = {If you use this software, please cite it as below.},
+  publisher = {Zenodo},
+  version   = {v0.5.0},
+  doi       = {10.5281/zenodo.7808904},
+  url       = {https://doi.org/10.5281/zenodo.7808904}
+}
+
+@thesis{pal2023efficient,
+  title     = {{On Efficient Training \& Inference of Neural Differential Equations}},
+  author    = {Pal, Avik},
+  year      = {2023},
+  school    = {Massachusetts Institute of Technology}
+}
+```