Rowan Platform Boosts Computational Chemistry: Faster Molecular DFT and Batched Solubility
CatAstro_Piyush · x · 2026-08-11
Computational chemistry platform Rowan published a new blog post documenting a series of performance optimizations made over the past few weeks, aiming to deliver faster results while maintaining scientific accuracy.
Key improvements include substantially better performance and reliability for molecular DFT (Density Functional Theory) calculations, as well as the introduction of batching support for solubility predictions.
More from Apps
- Testing iOS 27 On-Device Intelligence API for Story Rendering — talkaboutdesign · 2026-08-11
- DeepAnalyze: First Agentic LLM for Autonomous Data Science, Open-Sourced by Renmin University — tom_doerr · 2026-08-11
- Expert Warns: Proprietary AI Tools and Cloud Services Create Costly Lock-in — DavidLinthicum · 2026-08-11
- Polyphonic Ships Ambient Desktop Agent with Screen Awareness and Memory — RileyRalmuto · 2026-08-11
- Anthropic's Chief Engineer Built a 9,000-Document Second Brain, Predicting It as a Competitive Edge — danfaggella · 2026-08-11
- The Evolution of AI Creative Tooling: From Prompts to Node-Based Workflows — round · 2026-08-11