Rogue Scholar Posts

language
Published in Henry Rzepa's Blog

What constitutes an “impossible molecule”? Well, here are two, the first being the topic of a recent article[1]. The second is a favourite of organic chemistry tutors, to see if their students recognise it as an unusual (= impossible) form of a much better known molecule. Perhaps we could define impossible molecules into two slightly different classes.

Published in Stories by Research Graph on Medium
Author Wenyi Pi

Enhancing Data Interactivity with LLMs and Neo4j Knowledge Graphs Author Wenyi Pi ( ORCID : 0009–0002–2884–2771) Introduction Since OpenAI launched ChatGPT, a large language model (LLM) based chatbot, in 2023, it has set off a technological wave.

Published in Journal of Open Source Software Blog |
Author Arfon M. Smith

Subscribe Now: Apple, Spotify, YouTube, RSS Irea Mosquera-Lois and Seán Kavanagh join Arfon and Abby to discuss releasing software based on important research observations, earning a PhD, and building ShakeNBreak, a defect structure searching method that better identifies low-energy structures. Irea is a PhD Student at Imperial College London. Seán is an Environmental Fellow at Harvard University.

Published in Triton Station

And pretty much everywhere else First, a pretty picture: The sun is nearing the peak of its eleven year sunspot cycle. That means lots of sunspots and associated activity. Solar prominences, visible to the naked eye during the eclipse, are bands of plasma entrained in the magnetic field connecting pairs of sunspots. Once in a while, these break out in solar flares.

Published in Bayesically Speaking

Introduction Hey there, fellow science enthusiasts and stats geeks! Welcome back to the wild world of Markov Chain Monte Carlo (MCMC) algorithms. This is part two of my series on the powerhouse behind Bayesian Inference . If you missed the first post, no worries! Just hop on over here and catch up before we dive deeper into the MCMC madness.

Published in Stories by Research Graph on Medium

Author Dhruv Gupta ( ORCID : 0009–0004–7109–5403) Introduction Large Language Models (LLMs) have become the new face of Natural language processing (NLP). With their generative power and ability to comprehend human language, the human reliance on these models is increasing every day. However, the LLMs have been known to hallucinate and thus produce wrong outputs.