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README.md
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Welcome to the Hugging Face organization for the DIVE Lab at Texas A&M University. We strive to seek synergies between foundational and use-inspired themes. Our foundational research centers on developing innovative models and algorithms in the fields of machine learning, geometric deep learning, language models and agents. Our use-inspired research aims at tackling challenges in various scientific and engineering disciplines, including physics-informed modeling and simulations, biology, drug discovery, quantum physics and chemistry, materials science, molecular dynamics and simulation, fluid dynamics, and partial differential equations, among others.
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The datasets available in our Hugging Face repository are described below:
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**Sys2Bench**
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Welcome to the Hugging Face organization for the DIVE Lab at Texas A&M University. We strive to seek synergies between foundational and use-inspired themes. Our foundational research centers on developing innovative models and algorithms in the fields of machine learning, geometric deep learning, language models and agents. Our use-inspired research aims at tackling challenges in various scientific and engineering disciplines, including physics-informed modeling and simulations, biology, drug discovery, quantum physics and chemistry, materials science, molecular dynamics and simulation, fluid dynamics, and partial differential equations, among others.
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The datasets available in our Hugging Face repository are described below:
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**Sys2Bench**
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