京东 11.11 红包
Tongqi Wen: Deep Potentials for Alloys and Metallic Glasses
发布人
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Lecture 4: Next Generation Quantum and Deep Learning Potentials, Darrin York
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Tongqi Wen: DeePMD hands-on
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Linfeng Zhang: Deep Potential at scale
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宋乐：AI for Drug Design
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Lecture 6: Deep Modeling with Long-Range Electrostatic Interactions,Chunyi Zhang
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DeepModeling Hackathon 2.0 开幕式
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蒲建锟等：dflow从SMILES到力场
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谢品臣：从DeePMD中学习粗粒化动力学: Ab Initio Generalized Langevin equation
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鄂维南院士：再谈AI for Science
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dflow Tutorials - 新手村任务
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Lecture 5: Linear Response Theory of Transport in Condensed Matter, Stefano Baro
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欧琪：ABACUS+DeePKS
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诺贝尔化学奖得主Roald Hoffmann教授：SIMULATION VS UNDERSTANDING
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张天汉：祖传代码的一次新生dflow和fortran77如何结合
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Zhuoyuan Li: APEX hands-on
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Lecture 2: Deep Potential at Scale, Linfeng Zhang
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陈默涵：密度泛函理论计算流程
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贾伟乐：Extending the limit of molecular dynamics of ab initio accuracy with machine
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刘杰：Accurate and Efficient Molecular Dynamics
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Lecture 1: Deep Potential Method for Molecular Simulation, Roberto Car
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DeepModeling Hackathon 2.0 初赛答辩
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许志钦：AI for Combustion: model reduction and simulation acceleration
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DP答疑交流活动第六期：DeePMD-kit上机实践
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DP在陶瓷晶界中的应用：晶界偏聚诱导高温高强UHTC——从传统UHTC到高熵UHTC
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Hands-on session 6: Concurrent learning with DP-GEN
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Hackathon_3_Workflow
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DeepFlame: 共建AI for Science时代的燃烧反应流体计算平台
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张林峰：AI for Science开源社区实践与思考
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DMFF: 共建生产级可微分力场计算引擎，让复杂力场参数优化不再难
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Lecture 3: Towards a Realistic Description of H3O+ and OH- Transport,DiStasio Jr
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Jiapeng Liu: Uni-Mol hands-on
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杨威：Optimize AlphaFold2 on Intel Xeon CPU
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DeepModeling：我们的“开源集市”需要什么
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王延泽：dflow+强化动力学——一种同步学习框架的工作流实现
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鄂维南：AI for Science专题论坛开幕致辞
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曾晋哲：DP还能干这个？DP在酶设计与药物发现领域的应用
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徐进：Million-X: NVIDIA Full-stack Accelerated Computing
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欧琪：DeePKS-ABACUS
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胡太平：dflow+X在材料科学领域中的应用
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王紫东：对于科学智能创新和落地的思考和建议