#DeepMD - Twitter Hashtag

over 1 year ago

Theoretical study on cubic K3-xSbS4-xClx with ionic conductivity of 14.8 mS/cm, highlighting its potential for solid state electrolyte. #DeepMD #MaterialsScience @ChemMater Read the paper 👉 https://t.co/Rax3afQltg

ChemMater's tweet photo. Theoretical study on cubic K3-xSbS4-xClx with ionic conductivity of 14.8 mS/cm, highlighting its potential for solid state electrolyte. #DeepMD #MaterialsScience @ChemMater

Read the paper 👉 https://t.co/Rax3afQltg https://t.co/Lkb4aJya1z

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DeepModeling @DeepModeling

almost 2 years ago

🚀 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

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DeepModeling @DeepModeling

about 2 years ago

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

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Daniel Hedman @danhed89

over 3 years ago

Videos detailing the growth process (https://t.co/9SqGzZ1y87), interface dynamics (https://t.co/1iSb2ThJEC) and defect healing (https://t.co/DE30acVZjP) are also available! #CNT #growth #defectfree #MLFF #MD #DeepMD

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Daniel Hedman @danhed89

over 3 years ago

A sneak peak of our latest work, coming soon to arXiv. Merry Christmas everyone! #CarbonNanotube #Growth #MachineLearning #CNT #MLFF #DeePMD

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Paesani Lab

@PaesaniLab

about 4 years ago

Food for thought...🤔 In our first foray into #neuralnetworks, we were interested in accelerating 🚀#water simulations using #DeePMD trained on #MBpol. We found that #DeePMD reproduces #MBpol in the bulk but not at the vapor/liquid interface. 👉 https://t.co/BLFPDwRn8v 1/5

PaesaniLab's tweet photo. Food for thought...🤔 In our first foray into #neuralnetworks, we were interested in accelerating 🚀#water simulations using #DeePMD trained on #MBpol. We found that #DeePMD reproduces #MBpol in the bulk but not at the vapor/liquid interface.
👉 https://t.co/BLFPDwRn8v
1/5 https://t.co/byTIFvKeua

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Siddarth Achar @Siddarth_Achar

about 4 years ago

Excited to announce the publication of my 2nd first author paper, as part of my PhD, in @JCIM_JCTC @jctc_papers titled "Combined Deep Learning and Classical Potential Approach for Modeling Diffusion in UiO-66". #MOF #chemtwitter #compchem #deepmd

JCTC Papers @jctc_papers

about 4 years ago

[ASAP] Combined Deep Learning and Classical Potential Approach for Modeling Diffusion in UiO-66 https://t.co/nzsPwGx0eD

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