DeepModeling

Define the future of scientific computing together

[DeepModeling @DeepModeling]

The DeepModeling Manifesto https://t.co/MpFkyM533d

[DeepModeling @DeepModeling]

@3DX3EM Thanks for following. Are you asking this paper pdf?

[DeepModeling @DeepModeling]

🚀 New Insights from DeePMD-kit! 🚀

Check out the latest Nature Chemistry article where DeePMD-kit reveals a dual-gated mechanism of proton transport in water, advancing our understanding of this vital process.

🔗 Read more: https://t.co/CoOYuZovpd

#DeepModeling #DeePMD #AI4S

[DeepModeling @DeepModeling]

Can ML simulate carbon nanotube growth? 🧬🚀 Discover how the new DeepCNT-22 force field, based on DeePMD, enables precise large-scale simulations. Learn more about this breakthrough in nanomaterials!
https://t.co/KKYPzUuDtj

[DeepModeling @DeepModeling]

🚀Machine learning potential model was generated for the Pt-TiO2 system using DeePMD-kit. This model studies the effect of atomic isolation walls on catalyst stability and illustrates noble metal particle sintering on TiO2-supported Pt particles.
https://t.co/1943ECZJZu

[DeepModeling @DeepModeling]

🧬 Exciting news! Researchers Xi Cheng, Liuqing Wen, and Dingyan Wang introduced DeepGlycanSite, a deep learning model for accurate carbohydrate-binding site prediction on proteins.
https://t.co/rUiymcZNRp

#deepmodeling #unimol #opensource

[DeepModeling @DeepModeling]

🔧 The DeepModeling community developed Dflow, a Python toolkit for building workflows. Key features please check: https://t.co/Lw4TtIinaG

#deepmodeling @dflow @ai4s @opensource

[DeepModeling @DeepModeling]

Excited about this research! Dr. Jianchuan Liu & team developed ML interatomic potential models for 19 Group IIB-VIA semiconductors using ABACUS & DeePMD-kit. Amazing work! Check out their article and models/datasets:
#MachineLearning #DFT #ABACUS #DeePMD
https://t.co/Sekt13pMNN

[DeepModeling @DeepModeling]

Exciting News! 🚀

We're thrilled to announce ABACUS v3.7.0, packed with major updates!
Explore the new features and join the conversation!

https://t.co/a0Ounf2BbP

[DeepModeling @DeepModeling]

@PaesaniLab @TheDPTechnology Thanks for visiting, Francesco! We're excited about the collaboration and the potential advancements in #machinelearning models. Let's keep pushing the boundaries of computational modeling together! 🚀 #DeepModeling

[DeepModeling @DeepModeling]

🚀 Exciting news! DeePMD-kit v3 (v3.0.0a0) is here! Train models on TensorFlow & PyTorch. New PyTorch backend supports large atomic models with the DPA-2 model. Fully Python-based for easy dev & debugging. Thanks to all contributors! Learn more & download: https://t.co/SKlQh7SL3f

[DeepModeling @DeepModeling]

🚀 We're thrilled to launch the #OpenLAM initiative! 🌟 With the new DPA-2 model, we're ready to "Conquer the Periodic Table". Join us in this exciting journey! Learn more: https://t.co/ELlQHEKYB7 #DeepPotential #opensource #DeepModeling

[DeepModeling @DeepModeling]

Excited to share that Uni-Mol has joined the DeepModeling community! 🚀 Our 3D molecular representation framework is revolutionizing molecular design.

Check out our GitHub for more details and to contribute: https://t.co/JshL8geinj
#unimol #deepmodeling #opensource

[DeepModeling @DeepModeling]

@PaesaniLab @ChemRxiv @quantum_winger impressive research!

[DeepModeling @DeepModeling]

@Pengchao1997 @J_A_C_S Insightful research!

[DeepModeling @DeepModeling]

We just released the first alpha version of DeePMD-kit v3, bringing a multiple-backend platform, the PyTorch backend, and the support for large atomic models. https://t.co/z2o5elBg83

[Shef Wang @shefwang]

AI for Science in action. https://t.co/DmCSIMZa1I. @DeepModeling @UCBerkeley

[DeepModeling @DeepModeling]

DeepModeling posted OpenLAM 2024 Q0 report: https://t.co/jMtqvXqNqZ

[DeepModeling @DeepModeling]

DeepModeling launches the OpenLAM Initiative to "conquer the Periodic Table". https://t.co/iyvO96MRns

[Blue Snow @bluesnow2023]

DMFF: An Open-Source Automatic Differentiable Platform for Molecular Force Field Development and Molecular Dynamics Simulation | Journal of Chemical Theory and Computation https://t.co/IKau4e1atR