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doi: 10.1039/d3dd00113j , 10.25418/crick.24297949 , 10.48550/arxiv.2306.06283 , 10.25418/crick.24297949.v1
pmid: 38013906
pmc: PMC10561547
handle: 10261/350193
doi: 10.1039/d3dd00113j , 10.25418/crick.24297949 , 10.48550/arxiv.2306.06283 , 10.25418/crick.24297949.v1
pmid: 38013906
pmc: PMC10561547
handle: 10261/350193
We report the findings of a hackathon focused on exploring the diverse applications of large language models in molecular and materials science.
Chemical Physics (physics.chem-ph), FOS: Computer and information sciences, 3403 Macromolecular and Materials Chemistry, Condensed Matter - Materials Science, Computer Science - Machine Learning, 34 Chemical Sciences, FOS: Clinical medicine, Ensure access to affordable, reliable, sustainable and modern energy for all, Neurosciences, Materials Science (cond-mat.mtrl-sci), FOS: Physical sciences, Gene Expression, 004, Macromolecular and Materials Chemistry, Machine Learning (cs.LG), Imaging, Chemistry, Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation, Physics - Chemical Physics, Chemical Sciences, Synthetic Biology, Microfabrication & Bioengineering, Genetics & Genomics
Chemical Physics (physics.chem-ph), FOS: Computer and information sciences, 3403 Macromolecular and Materials Chemistry, Condensed Matter - Materials Science, Computer Science - Machine Learning, 34 Chemical Sciences, FOS: Clinical medicine, Ensure access to affordable, reliable, sustainable and modern energy for all, Neurosciences, Materials Science (cond-mat.mtrl-sci), FOS: Physical sciences, Gene Expression, 004, Macromolecular and Materials Chemistry, Machine Learning (cs.LG), Imaging, Chemistry, Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation, Physics - Chemical Physics, Chemical Sciences, Synthetic Biology, Microfabrication & Bioengineering, Genetics & Genomics
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 70 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
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| downloads | 160 |

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