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Revolutionizing Medicine Discovery

Prithvi accelerates breakthroughs in medicine and materials with AI-driven insights and minimal data

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AI ASSISTANT FOR SCIENCE

Deep Forest Sciences has built an AI assistant Prithvi to accelerate scientific discoveries

Prithvi, powered by DeepChem infrastructure on the inside, has been deployed on multiple drug discovery, energy, and molecular design projects.

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SCIENTIFIC FOUNDATION MODELS

Leveraging Large Scientific Foundation Models for Next-Generation AI Discovery

Harnessing Scientific Foundation Models and Cutting-edge AI Techniques on Proprietary Data, Prithvi Accelerates Discovery in Molecules, Materials, and Designs. Prithvi leverages years of DeepChem development to create a modular AI that blends human intuition with machine intelligence.

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DeepChem is the most popular open source framework for drug discovery

DeepChem development is guided by the Deep Forest Sciences team

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Jun 25, 2024

No-Code Molecular Dynamics with Prithvi

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Latest in Research

Fermionic Neural Networks

Jan 16, 2024

Open-Source Fermionic Neural Networks with Ionic Charge Initialization

Shai Pranesh, Shang Zhu, Venkat Viswanathan, Bharath Ramsundar

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Oct 3, 2023

Differentiable Modeling and Optimization of Battery Electrolyte Mixtures Using Geometric Deep Learning

Shang Zhu, Bharath Ramsundar, Emil Annevelink, Hongyi Lin, Adarsh Dave, Pin-Wen Guana, Kevin Gering, Venkatasubramanian Viswanathan

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Aug 2, 2023

Scientific discovery in the age of artificial intelligence

Hanchen Wang, Tianfan Fu, Yuanqi Du, Wenhao Gao, Kexin Huang, Ziming Liu, Payal Chandak, Shengchao Liu, Peter Van Katwyk, Andreea Deac, Anima Anandkumar, Karianne Bergen, Carla P. Gomes, Shirley Ho, Pushmeet Kohli, Joan Lasenby, Jure Leskovec, Tie-Yan Liu, Arjun Manrai, Debora Marks, Bharath Ramsundar, Le Song, Jimeng Sun, Jian Tang, …Marinka Zitnik

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Dec 22, 2022

AutoMat: Automated materials discovery for electrochemical systems

Emil Annevelink, Rachel Kurchin, Eric Muckley, Lance Kavalsky, Vinay I. Hegde, Valentin Sulzer, Shang Zhu, Jiankun Pu, David Farina, Matthew Johnson, Dhairya Gandhi, Adarsh Dave, Hongyi Lin, Alan Edelman, Bharath Ramsundar, James Saal, Christopher Rackauckas, Viral Shah, Bryce Meredig & Venkatasubramanian Viswanathan

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