Journal alerts are noise
Raw lists with no context. You screen every title yourself.
A canary, for papers
Journal output keeps growing. Your reading time doesn't. Papernary scans hundreds of new papers each week and surfaces the handful that actually matter to your research, in a focused five-minute briefing.
How many journals publish work that matters to your interests? 5? 10? 20? At a few papers per journal per day, that's 100+ articles a week. No one reads that. So the few papers you actually want to read get buried, and the existing tools don't help much:
Raw lists with no context. You screen every title yourself.
Recommendations you can't tune. They lag behind what you actually work on now.
When deadlines hit, staying current is the first habit to fall.
Describe your interests in plain language. Skip the keyword gymnastics; paste titles and abstracts you'd actually want to read.
Choose the sources you trust. Papernary pulls relevant papers from all of them, across publishers, in one place.
A ranked summary of what's new, with a one-line note on why each paper matters to you.
Attention-based Graph Neural Networks for Molecular Property Prediction
J. Am. Chem. Soc.
Extends transformer architecture to molecular graphs. Directly relevant to your drug-target interaction modeling.
Scalable Bayesian Optimization for High-Dimensional Materials Discovery
Nature Materials
New BO framework handles 50+ dimensional search spaces. Could accelerate your catalyst screening pipeline.
Foundation Models for Scientific Discovery: A Survey
Science
Comprehensive review of FM applications in chemistry and materials.
Self-supervised Learning for Protein Folding (tangential, novel approach)
Automated Lab Protocols via LLM Agents (relevant to your lab automation goals)
Not to scroll tables of contents every morning. Papernary turns the daily flood of new publications into a five-minute briefing, ranked by relevance, delivered when you want it.
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