Ananikov Lab

How much data is lost in #science?

🚨 New study: 50 - 90% of electron microscopy images never make it into publications.

This hidden "lost data" pool can fuel #AI, #education & new discoveries.

doi.org/10.3390/chem...

#ElectronMicroscopy
#Microscopy #Artificialintelligence #nano

Our article on the reproducibility of chemical reactions on the cover picture of JACS Au.

pubs.acs.org/doi/full/10....

Let’s make chemistry constantly reproducible!

#Reproducibility #Replicability #Chemistry #Catalysis #Nanoparticles
‪@acs.org‬ @pubs.acs.org‬ ‪@jacs.acspublications.org‬

Classification of artificial intelligence applications in chemistry: from automation to digital scientific thinking This article proposes a three-level classification of artificial intelligence (AI) application in chemical sciences, reflecting the increasing degree of technology involvement in scientific and produc...

Just a few years ago, we began asking if AI can help chemists.

Now? We're already working with three distinct levels of AI in chemistry, from assistants to analysts and digital hypothesis.

Explore the roadmap in our preprint:
🔍⚗️ doi.org/10.26434/che...

#AI #Chemistry #DigitalScience #ML #DL

“If you can imagine an article that concerns every chemist doing reactions in solution, then this article is it.”

Our article on magnetic stirring effect is a top read article in JACS Au.

pubs.acs.org/action/showM...

doi.org/10.1021/jacs...

#chemistry #catalysis #nanoparticles #synthesis

Reconfiguration of Active Species under Light for Enhanced Photocatalysis Photocatalysis has emerged as a cornerstone of synthetic chemistry, enabling mild and selective transformations by using sustainable light sources. A common assumption persists that most photocatalyst...

🧪✨ First time ever: a cocktail of photocatalysts revealed! Just in @J_A_C_S

Light doesn’t just activate – it transforms. We show how photocatalyst evolves under light into a mix of active species with enhanced reactivity even under red light.
🔗 doi.org/10.1021/jacs...

Discovering organic reactions with a machine-learning-powered deciphering of tera-scale mass spectrometry data - Nature Communications Mass spectrometry generates vast amounts of data in chemistry labs. Here, authors developed a machine learning-driven search engine that analyzes archived data to discover chemical reactions without p...

Continue using Python to discover new reactions hidden in old experiments. Turns out, thousands of unseen reactions are sleeping on old hard drives 😊

No glassware, no stirring—just #AI and old data.

The challenge is how to link lab notebooks to raw data archives.

www.nature.com/articles/s41...

Our mission is to make molecules smarter, processes greener, and data more meaningful.
Follow us for updates on our publications, research insights, and thoughts on the future of chemical science.

🔬 Let’s connect molecules — and ideas.

🧪🔷 Welcome to the Ananikov Lab on Bluesky!
We’re a research team exploring the frontiers of chemistry, catalysis, molecular complexity, and AI-driven discovery.