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From Text to Insight: Large Language Models for Chemical Data Extraction — From Text to Insight: Large Language Models for Materials Science Data Extraction — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Artificial Intelligence →

DomainMatchTitleCountry/LangCategoryAI filesContactAI-protection
debjyoti-bhattacharya.com 66 match
2 shared topics
Debjyoti Bhattacharya - Materials Science & AI Research en artificial-intelligence robotsllmsaihumans emailphone none
newfoundmaterials.com 64 match
2 shared topics
Newfound Materials | Physics-driven AI for materials synthesis United States~ en artificial-intelligence robotsllmsaihumans emailphone none
aiforscience.school 63 match
2 shared topics
AI for Science European Summer School 2026 | Athens, Greece en artificial-intelligence robotsllmsaihumans emailphone none
cuttingedgenews.net 63 match
2 shared topics
Cutting-Edge News Online | Frontier Science & Alternative Topics en artificial-intelligenceWordPress robotsllmsaihumans emailphone none
nedaas.org 63 match
2 shared topics
NEDAAS Lab - Neural Engineering, Data Analytics & Applied Science en artificial-intelligence robotsllmsaihumans emailphone none
elliot-murphy.com 63 match
2 shared topics
Elliot Murphy – Neurobiology of Language ⚉ Bylines on Politics & Culture en artificial-intelligenceWordPress robotsllmsaihumans emailphone none
wholesome.foundation 63 match
2 shared topics
Wholesome Foundation - Scientific Social Innovation en artificial-intelligence robotsllmsaihumans emailphone none
myscienceblueprint.com 63 match
2 shared topics
The Science Blueprint - Reverse Engineering Intelligence en artificial-intelligence robotsllmsaihumans emailphone partial · 8
mateopetel.xyz 63 match
2 shared topics
Mateo Petel | AI for Science, Stanford Researcher en artificial-intelligence robotsllmsaihumans emailphone none
amazon.science 62 match
2 shared topics
Amazon Science homepage en artificial-intelligence robotsllmsaihumans emailphone none
enigma-rg.org 62 match
2 shared topics
ΣηIGmα Research Group — AI & Machine Learning Research in Africa en artificial-intelligence robotsllmsaihumans emailphone none
decodesci.com 62 match
2 shared topics
Decode Science | Transforming Data into Discovery en artificial-intelligence robotsllmsaihumans emailphone none
alignmentproblem.ai 62 match
2 shared topics
Leading AI scientists: Without urgent action, advanced AI will cause human extinction en artificial-intelligenceAdobe Experience Manager robotsllmsaihumans emailphone none
mgi.gov 62 match
2 shared topics
MGI Homepage | Materials Genome Initiative en artificial-intelligenceDrupal robotsllmsaihumans emailphone none
aeth.science 62 match
2 shared topics
aeth.science | Democratizing Science Through DeSci en artificial-intelligence robotsllmsaihumans emailphone none
ai4science.group 62 match
2 shared topics
AI for Science Group Cologne en artificial-intelligence robotsllmsaihumans emailphone none
aiforscience.group 62 match
2 shared topics
AI for Science Group Cologne en artificial-intelligence robotsllmsaihumans emailphone none
meganjstanley.com 62 match
2 shared topics
Megan Stanley en artificial-intelligence robotsllmsaihumans emailphone none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.