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14 Examples of How LLMs Can Transform Materials Science and Chemistry: A Reflection on a Large Language Model Hackathon

PubMed(2023)10.25418/crick.24297949.v1Source: DataRank Database

14 Examples of How LLMs Can Transform Materials Science and Chemistry: A Reflection on a Large Language Model Hackathon is a research paper published in PubMed (2023). On theSindex it has a DataRank of 0. It has been cited 29 times.

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0DataRank · unranked

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Open Access29 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (15 grants)Impact (FWCI 2.28)OA: greenTopics (48)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (53)

Qianxiang Ai ORCID,Alexander Al‐Feghali ORCID,Shruti Badhwar ORCID,Joshua D. Bocarsly ORCID,Andres M Bran ORCID

Live enrichment

PubMed:38013906 OpenAlex:https://openalex.org/W4380686968

European Commission

Grant: 957189

Battery Interface Genome - Materials Acceleration Platform

National Institutes of Health

Grant: 3OT3TR002020-01S2

Biomedical Data Translator Technical Feasibility Assessment and Architecture Design

National Science Foundation

Grant: 1931306

Collaborative Research: Framework: Machine Learning Materials Innovation Infrastructure

National Science Foundation

Grant: 2022040

NRT-HDR: Harnessing AI for Understanding & Designing Materials (aiM)

Swiss National Science Foundation

Grant: 182892

NCCR MARVEL: Materials’ Revolution: Computational Design and Discovery of Novel Materials (phase II)

National Institutes of Health

Grant: 5R35GM137966-02

Learning to learn in structural biology with deep neural networks

European Commission

Grant: 945363

A new PhD training for the next generation of sustainable science leaders

National Science Foundation

Grant: 2209892

Frameworks: Garden: A FAIR Framework for Publishing and Applying AI Models for Translational Research in Science, Engineering, Education, and Industry

National Science Foundation

Grant: 1764415

CDS&E: D3SC: Applying Video Segmentation to Coarse-grain Mapping Operators in Molecular Simulations

National Institutes of Health

Grant: 5U18TR004149-02

Informatics and Machine Learning Modules for Research Planning, Scheduling, Simulation, and Optimization in the ASPIRE Autonomous Laboratory

Wellcome Trust

Grant: unidentified

unidentified

National Science Foundation

Grant: 2226419

Collaborative Research: Disciplinary Improvements: Creating a FAIROS Materials Research Coordination Network (MaRCN) in the Materials Research Data Alliance

National Science Foundation

Grant: 1917340

Molecular Design and Analysis of Flow Battery Electrolytes based on Redox Deep Eutectic Solvents

European Commission

Grant: 101056773

Reincarnation of construction products and materials by slowing down and extending cycles

European Commission

Grant: 847587

BElgian WAllonia REsearcher FELLOWSHIPS 2

FWCI

2.28

Citation Percentile

0.9%

Citation Trend

2023

2024

2025

greenLicense: cc-by

repositoryhttps://arxiv.org/pdf/2306.06283

repositoryhttp://arxiv.org/abs/2306.06283

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38013906

repositoryhttps://www.repository.cam.ac.uk/handle/1810/356029

repositoryhttps://www.repository.cam.ac.uk/handle/1810/356032

Fields of Study

Biomedical and Engineering EducationGenetics, Bioinformatics, and Biomedical ResearchMachine Learning in Materials ScienceGene ExpressionGenetics & GenomicsNeurosciencesFOS: Clinical medicineMicrofabrication & BioengineeringSynthetic BiologyImaging

Keywords

Reflection (computer programming)NanotechnologyComputer scienceEngineering ethicsData scienceChemistryEngineeringMaterials scienceFOS: Computer and information sciencesTechnologyComputer Science - Machine LearningEnsure access to affordable, reliable, sustainable and modern energy for allFOS: Physical sciencesGene Expressionhttp://metadata.un.org/sdg/9Macromolecular and Materials Chemistryhttp://metadata.un.org/sdg/7Machine Learning (cs.LG)ImagingPhysics - Chemical PhysicsChemical Physics (physics.chem-ph)3403 Macromolecular and Materials ChemistryCondensed Matter - Materials Science34 Chemical SciencesFOS: Clinical medicineNeurosciencesMaterials Science (cond-mat.mtrl-sci)Materials Science; Machine Learning; Chemical Physics004EnergiesKnowledgeBuild resilient infrastructure, promote inclusive and sustainable industrialization and foster innovationChemical SciencesPhysical SciencesSynthetic BiologyMicrofabrication & BioengineeringPredictionGenetics & Genomics