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@@ -25,7 +25,7 @@ The history of the DeepModeling communityThe "DeepModeling Community"
 The short-term plan and long-term vision of the DeepModeling communityIn the short term, developers in the DeepModeling community will focus on  atomic-scale simulation methods and tools. This includes solving the many-body Schrödinger equation, electronic structure calculation, molecular dynamics simulation, and coarse-grained molecular dynamics simulation. This also includes tasks such as data generation, model training, high-performance optimization, etc. In addition, it includes different workflows and management tools, as well as computing power scheduling tools for different systems, different scenarios, and different purposes. 
 It should be pointed out that the combination of physical modeling and machine learning often fundamentally changes the implementation logic of a piece of software. Therefore, the new infrastructure will not be settled once and for all, but will be gradually improved through an iterative process and  upgrades from time to time.
 In the long run, the DeepModeling community is committed to combining physical models at all scales with machine learning methods, using the most cutting-edge computing platforms to solve the most challenging scientific and technological problems faced by the human society.
-How can you contribute? If you want to contribute to an existing project in the DeepModeling community, please just do so or contactthe corresponding developer directly; if you want to open a new project in the DeepModeling community, or if you want the DeepModeling community to help develop your project, just contact contact@deepmodeling.org.
+How can you contribute? If you want to contribute to an existing project in the DeepModeling community, please just do so or contactthe corresponding developer directly; if you want to open a new project in the DeepModeling community, or if you want the DeepModeling community to help develop your project, just contact contact@deepmodeling.org.
 If you are a programmer who loves science and is attracted by the future scientific computing platform built by the DeepModeling community, you can contribute not only through new algorithms, but also code development specifications, document writing specifications, community databases, task scheduling, workflow management and other tools.  In addition, you can contribute to code architecture design and high-performance optimization tasks in the DeepModeling community. People in the field of scientific computing will greatly appreciate your expertise and contribution.
 If you are a hardcore developer familiar with topics such as electronic structure calculations, molecular dynamics, and finite element methods, the DeepModeling community will be your place to showcase your talents. The addition of machine learning components requires us to rethink about architecture design, each specific implementation for the tasks mentioned above and high-performance optimization. You will become important bridges that connect other developers, contributors, and users in different areas.
 If you have only used some basic scientific software and have worked on some post-processing scripts, the DeepModeling community also needs you. Try to ask questions and communicate on github/gitee and other communication platforms, try to give opinions, and try to fork, commit, pr... Your little by little contribution will make the DeepModeling community better and better, and the DeepModeling community will be very grateful for such contributions.