·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
OpenAI announces three big science discoveries and a new way to work with academics2h◆Greptile takes bug detection beyond code review with GPT-6 Astra3h◆Anthropic is burning gas to feed the AI boom4h◆Will the real Anthropic please stand up8h◆The RealReal won’t let AI agents hog designer clothing8h◆Five weird details from Anthropic’s IPO filing8h◆Anthropic’s IPO filing reveals its strategy for keeping enterprise customers hooked8h◆SpaceX locks in $40B GPU financing deal with Apollo8h◆Our newest AI Quest: Mapping the human brain9h◆Microsoft offers buyouts to 60,000 employees9h◆Anthropic officially files for its public debut11h◆Working with academic communities to build scientific understanding11h◆Kevin Roose is AGI-pilled. Why aren’t you?11h◆GPT-6.1 Sol helps CodeRabbit strengthen security across complex codebases12h◆Anthropic’s IPO filing lays out a plan to ‘revolutionize every area of human endeavor’ with AI12h◆Can AI help solve the COBOL code crisis?12h◆ChatGPT’s expanding world of work15h◆The focus on AI safety disasters ignores everyday harms16h◆How Fanatics and OpenAI streamline the fan experience18h◆How Ultrafast cut incident investigation from hours to minutes at OpenAI18h◆OpenAI announces three big science discoveries and a new way to work with academics2h◆Greptile takes bug detection beyond code review with GPT-6 Astra3h◆Anthropic is burning gas to feed the AI boom4h◆Will the real Anthropic please stand up8h◆The RealReal won’t let AI agents hog designer clothing8h◆Five weird details from Anthropic’s IPO filing8h◆Anthropic’s IPO filing reveals its strategy for keeping enterprise customers hooked8h◆SpaceX locks in $40B GPU financing deal with Apollo8h◆Our newest AI Quest: Mapping the human brain9h◆Microsoft offers buyouts to 60,000 employees9h◆Anthropic officially files for its public debut11h◆Working with academic communities to build scientific understanding11h◆Kevin Roose is AGI-pilled. Why aren’t you?11h◆GPT-6.1 Sol helps CodeRabbit strengthen security across complex codebases12h◆Anthropic’s IPO filing lays out a plan to ‘revolutionize every area of human endeavor’ with AI12h◆Can AI help solve the COBOL code crisis?12h◆ChatGPT’s expanding world of work15h◆The focus on AI safety disasters ignores everyday harms16h◆How Fanatics and OpenAI streamline the fan experience18h◆How Ultrafast cut incident investigation from hours to minutes at OpenAI18h◆
News/AI-Driven Surrogate Models for Predicting Electrode-Scale Discharge Behavior in Lithium-Ion Batteries
arxiv
PublishedJuly 24, 2026 at 4:00 AM
▲bullish

AI-Driven Surrogate Models for Predicting Electrode-Scale Discharge Behavior in Lithium-Ion Batteries

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2607.20577v1 Announce Type: new Abstract: Physics-based simulations are essential for understanding the electrode-scale discharge behavior of lithium-ion batteries (LIBs) but suffer from prohibitive computational costs. To address this, we introduce a novel deep learning surrogate pipeline bas

Stay posted· Newsletter

Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.

// no spam · unsubscribe one-click · free forever

Your email is used only to send The Bubble Brief. Privacy policy

Discussion
Mentioned models
01
  • 01
    Swin3D Transformer
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
03
#deep-learning#battery-design#optimization

No replies yet. Be first.

Mentioned models
01
  • 01
    Swin3D Transformer
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
03
#deep-learning#battery-design#optimization
The Bubble Brief
MON · WED · FRI

Read deep-learning insights every Monday, Wednesday and Friday — top movers, new models, story of the week.

// no spam · unsubscribe one-click · free forever

Your email is used only to send The Bubble Brief. Privacy policy

Originally published on arxiv ↗
PrivacyTermsRefundsLegal notice|AboutMethodologyContact

© 2026 Databubble

Built by Marouane Gazouzi · Readyo, AI interview coach

HomeModelsNews