Abstract
SLMat is a serverless, browser-based toolkit that revolutionizes computational materials science by offering a scalable and efficient alternative to traditional server-based platforms like Google Colab. By eliminating the need for server management and providing persistent setups, SLMat enhances productivity and security, enabling researchers to focus on innovation rather than infrastructure. The toolkit integrates seamlessly with materials databases, supports AI model development, and offers advanced features like AI-guided coding and chatbot integration. With its streamlined workflow, SLMat accelerates production time, promotes reproducibility, and democratizes access to powerful computational resources. This makes SLMat an essential tool for modern materials science, offering a versatile and cost-effective solution for researchers across various domains.
Code: https://github.com/deepmaterials/slmat
WebPage: https://deepmaterials.github.io/slmat/