Update README.md

chahak13 · kks32 · web-flow · commit 5021c3bdd952 · 2023-07-23T16:13:54.000-07:00
Co-authored-by: Krishna Kumar &lt;3963513+kks32@users.noreply.github.com&gt;
diff --git a/README.md b/README.md
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-# Differentiable Material Point Method (Diff-MPM)
+# Differentiable Material Point Method (DiffMPM)
 
 MPM simulations are applied in various fields such as computer graphics, geotechnical engineering, computational mechanics and more. `diffmpm` is a differentiable MPM simulation library written entirely in JAX which means it also has all the niceties that come with JAX. It is a highly parallel, Just-In-Time compiled code that can run on CPUs, GPUs or TPUs. It aims to be a fast solver that can be used in various problems like optimization and inverse problems. Having a differentiable MPM simulation opens up several advantages - 
 - **Efficient Gradient-based Optimization:** Since the entire simulation model is differentiable, it can be used in conjunction with various gradient-based optimization techniques such as stochastic gradient descent (SGD), ADAM etc.

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`1`		`-# Differentiable Material Point Method (Diff-MPM)`
	`1`	`+# Differentiable Material Point Method (DiffMPM)`
`2`	`2`
`3`	`3`	MPM simulations are applied in various fields such as computer graphics, geotechnical engineering, computational mechanics and more. `diffmpm` is a differentiable MPM simulation library written entirely in JAX which means it also has all the niceties that come with JAX. It is a highly parallel, Just-In-Time compiled code that can run on CPUs, GPUs or TPUs. It aims to be a fast solver that can be used in various problems like optimization and inverse problems. Having a differentiable MPM simulation opens up several advantages -
`4`	`4`	`- Efficient Gradient-based Optimization: Since the entire simulation model is differentiable, it can be used in conjunction with various gradient-based optimization techniques such as stochastic gradient descent (SGD), ADAM etc.`