Evidence map›Paper›PMID 36415316›Full record

ArticleNational science review2022

An all-round AI-Chemist with a scientific mind.

Qing Zhu, Fei Zhang, Yan Huang, Hengyu Xiao, LuYuan Zhao, XuChun Zhang, Tao Song, XinSheng Tang, Xiang Li, Guo He and 18 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in National science review, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
10.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 156 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

28 authors at 3 institutions in 1 country.

Qing ZhuHefei National Research Center for Physical Sciences at the Microscale, School of Chemistry and Materials Science, University of Science and Technology of China, Hefei 230026, China.
Fei ZhangSchool of Information Science and Technology, University of Science and Technology of China, Hefei 230026, China.
Yan HuangHefei National Research Center for Physical Sciences at the Microscale, School of Chemistry and Materials Science, University of Science and Technology of China, Hefei 230026, China.
Hengyu XiaoHefei National Research Center for Physical Sciences at the Microscale, School of Chemistry and Materials Science, University of Science and Technology of China, Hefei 230026, China.
LuYuan ZhaoHefei National Research Center for Physical Sciences at the Microscale, School of Chemistry and Materials Science, University of Science and Technology of China, Hefei 230026, China.
XuChun ZhangSchool of Information Science and Technology, University of Science and Technology of China, Hefei 230026, China.
Tao SongSchool of Information Science and Technology, University of Science and Technology of China, Hefei 230026, China.
XinSheng TangSchool of Information Science and Technology, University of Science and Technology of China, Hefei 230026, China.
Xiang LiSchool of Information Science and Technology, University of Science and Technology of China, Hefei 230026, China.
Guo HeSchool of Information Science and Technology, University of Science and Technology of China, Hefei 230026, China.
BaoChen ChongSchool of Information Science and Technology, University of Science and Technology of China, Hefei 230026, China.
JunYi ZhouSchool of Information Science and Technology, University of Science and Technology of China, Hefei 230026, China.
YiHan ZhangSchool of Information Science and Technology, University of Science and Technology of China, Hefei 230026, China.
Baicheng ZhangHefei National Research Center for Physical Sciences at the Microscale, School of Chemistry and Materials Science, University of Science and Technology of China, Hefei 230026, China.
JiaQi CaoHefei National Research Center for Physical Sciences at the Microscale, School of Chemistry and Materials Science, University of Science and Technology of China, Hefei 230026, China.
Man LuoHefei National Research Center for Physical Sciences at the Microscale, School of Chemistry and Materials Science, University of Science and Technology of China, Hefei 230026, China.
Song WangHefei National Research Center for Physical Sciences at the Microscale, School of Chemistry and Materials Science, University of Science and Technology of China, Hefei 230026, China.
GuiLin YeHefei JiShu Quantum Technology Co. Ltd, Hefei 230026, China.
WanJun ZhangHefei JiShu Quantum Technology Co. Ltd, Hefei 230026, China.
Xin ChenHefei JiShu Quantum Technology Co. Ltd, Hefei 230026, China.
Shuang CongSchool of Information Science and Technology, University of Science and Technology of China, Hefei 230026, China.
Donglai ZhouHefei National Research Center for Physical Sciences at the Microscale, School of Chemistry and Materials Science, University of Science and Technology of China, Hefei 230026, China.
Huirong LiHefei National Research Center for Physical Sciences at the Microscale, School of Chemistry and Materials Science, University of Science and Technology of China, Hefei 230026, China.
Jialei LiHefei National Research Center for Physical Sciences at the Microscale, School of Chemistry and Materials Science, University of Science and Technology of China, Hefei 230026, China.
Gang ZouHefei National Research Center for Physical Sciences at the Microscale, School of Chemistry and Materials Science, University of Science and Technology of China, Hefei 230026, China.
WeiWei ShangSchool of Information Science and Technology, University of Science and Technology of China, Hefei 230026, China.
Jun JiangHefei National Research Center for Physical Sciences at the Microscale, School of Chemistry and Materials Science, University of Science and Technology of China, Hefei 230026, China.
Yi LuoHefei National Research Center for Physical Sciences at the Microscale, School of Chemistry and Materials Science, University of Science and Technology of China, Hefei 230026, China.
University of Science and Technology of China · CNHefei National Center for Physical Sciences at Nanoscale · CNQuantumCTek (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The realization of automated chemical experiments by robots unveiled the prelude to an artificial intelligence (AI) laboratory. Several AI-based systems or robots with specific chemical skills have been demonstrated, but conducting all-round scientific research remains challenging. Here, we present an all-round AI-Chemist equipped with scientific data intelligence that is capable of performing basic tasks generally required in chemical research. Based on a service platform, the AI-Chemist is able to automatically read the literatures from a cloud database and propose experimental plans accordingly. It can control a mobile robot in-house or online to automatically execute the complete experimental process on 14 workstations, including synthesis, characterization and performance tests. The experimental data can be simultaneously analysed by the computational brain of the AI-Chemist through machine learning and Bayesian optimization, allowing a new hypothesis for the next iteration to be proposed. The competence of the AI-Chemist has been scrutinized by three different chemical tasks. In the future, the more advanced all-round AI-Chemists equipped with scientific data intelligence may cause changes to the landscape of the chemical laboratory.

Indexed as

AI-Chemistall-round researchcomputational brainmachine readingmobile robot

Identifiers

PMID36415316
PMCPMC9674120
OpenAlexW4296154431

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.