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Advancing AI for Science
DP Technology is a global leader in the "AI for Science" research paradigm, where AI learns scientific principles and data, then tackles key challenges in scientific research and industrial R&D.
DP's commitment to interdisciplinary research has led to the creation of the "DP World Knowledge Models," an array of pre-trained large science models designed to bridge foundational research with practical industrial applications. DP's software suite includes the Bohrium® Scientific Research Space, Hermite® Computational Drug Design Platform, RiDYMO® Dynamics Platform, and Piloteye® Battery Design Automation Platform. Together, these platforms form a robust foundation for industrial innovation and an open ecosystem for AI in science, fostering advancements in key areas such as drug discovery, energy, material science, and information technology.
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Core Technology
Deep Potential, a collection of algorithms developed by DP Technology, is a state-of-the-art molecular dynamics method that achieves ab initio accuracy while attains orders of magnitude acceleration comparing to other widely used AIMD methods.
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Bohrium®![](/_next/image?url=%2Fstatic%2Fimages%2Fhome%2Ficon-3.png&w=3840&q=75)
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AI for Science era research platform
Bohrium® is a user-friendly research platform with abundant computing power. Bohrium® efficiently pools and intelligently schedules multi-cloud and multi-supercomputing resources, and offers rich collaboration features for more convenient teamwork.
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Hermite®![](/_next/image?url=%2Fstatic%2Fimages%2Fhome%2Ficon-1.png&w=3840&q=75)
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Drug Discovery
Hermite® is committed to providing a new generation of all-in-one preclinical drug computing and design platform. Via the form of web access, it provides a variety of drug design functions, including structure modeling, virtual screening, lead optimization and property prediction. With a modern style of GUI, Hermite® provides state-of-the-art functions with real-time updates.
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battery design automation platform
DP Technology systemically empowers battery material development and cell design, addressing the key R&D needs of enterprises in the battery domain. Our efforts are aimed at all engineers and scientists in the battery R&D field, with a focus on theoretical evaluations of electrolyte properties, cathode and anode material properties, as well as simulations of cell performance. We are committed to providing an innovative and convenient platform that combines cutting-edge algorithms with industry know-how, reducing the barriers to traditional computational simulation software. This focus on key industry issues bridges the gap between computational analyses and experimental communication.
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