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    236 results for search term: chatgpt

    Category: Theoretical and Computational Chemistry
    ,
    Working Paper
    , Title:

    ChatGPT in Drug Discovery

    , Authors: Gaurav Sharma, Abhishek Thakur
    Version 1 posted 31 January 2023

    Extract found to contain search terms

    ChatGPT is a language model developed by OpenAI. It is a machine learning model that has been trained on a large dataset of human language, allowing it to generate human-like text. It can be used for a variety of natural language processing tasks such as language translation, text summarization, and question answering. In the current work we have discussed the application of ChatGPT
    7,927
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    21
    Citations
    Category: Chemical Education
    ,
    Working Paper
    , Title:

    ChatGPT Needs a Chemistry Tutor Too

    , Authors: Alfredo Leon, Dinesh Vidhani
    Version 1 posted 07 April 2023

    Extract found to contain search terms

    AI and ChatGPT technology have the potential to revolutionize the education sector, and this study aimed to evaluate if prompt formats, response consistency, and reliability of ChatGPT responses could help colleges make the most of this technology. The results of this study can guide future AI and ChatGPT
    1,311
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    3
    Citations
    Category: Chemical Education
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    Working Paper
    , Title:

    Challenging ChatGPT with Chemistry-Related Subjects

    , Authors: André Pimentel, Angela Wagener, Enio Frota da Silveira, Paulo Picciani, Benjamin Salles, Cristian Follmer, Oswaldo N. Oliveira Jr.
    Version 1 posted 25 May 2023

    Extract found to contain search terms

    Tools based on large language models such as ChatGPT may revolutionize information retrieval and knowledge discovery, particularly with the vast amount of electronic material available. In this communication we evaluate how two versions of ChatGPT can answer complex questions on chemistry-related subjects in six topics. The tools are still insufficient to deal with subtleties of complex topics, especially as they do not have access to the whole of the scientific literature. However, the progress from ChatGPT -3 to ChatGPT
    992
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    3
    Citations
    Category: Chemical Education
    ,
    Working Paper
    , Title:

    Designing Chemical Reaction Arrays using phactor and ChatGPT

    , Authors: Babak Mahjour, Jillian Hoffstadt, Tim Cernak
    Version 1 posted 28 February 2023

    Extract found to contain search terms

    We show how the artificial intelligence (AI) language model ChatGPT can automatically formulate reaction arrays for these common reactions based on the literature corpus it was trained on. Furthermore, we showcase how ChatGPT
    4,883
    Downloads
    2
    Citations
    Category: Chemical Education
    ,
    Working Paper
    , Title:

    Exploring the Use of ChatGPT as a Learning and Teaching Tool in Material Science and Nanotechnology Engineering Education

    , Authors: Burcu Ünlütabak, Zeliha Cansu Canbek Ozdil, Elif Sümeyye Cirit
    Version 1 posted 08 September 2023

    Extract found to contain search terms

    As the multidisciplinary field of Nanotechnology continues its trajectory of growth and significance, the incorporation of cutting-edge technological tools like ChatGPT will play a crucial role. In this work, we explore the innovative use of ChatGPT as a learning and teaching tool, specifically within the realm of nanotechnology education. To this end, we use a qualitative research approach; we ask nanotechnology-related questions to ChatGPT
    527
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    1
    Citations
    Category: Chemical Education
    ,
    Working Paper
    , Title:

    LLMs' Capabilities at the High School Level in Chemistry: Cases of ChatGPT and Microsoft Bing Chat

    , Authors: Dao Xuan-Quy, Le Ngoc-Bich, Vo The-Duy, Ngo Bac-Bien, Phan Xuan-Dung
    Version 1 posted 20 June 2023

    Extract found to contain search terms

    Specifically, we analyze the performance of two state -of-the art of LLMs, ChatGPT and Microsoft Bing AI Chat, on a quiz dataset consisting of 200 multiple-choice questions in chemistry at the high school level. The results show that ChatGPT
    854
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    4
    Citations
    Category: Theoretical and Computational Chemistry
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    Working Paper
    , Title:

    Can reasoning power significantly improve the knowledge of large language models for chemistry? --Based on conversations with Deepseek and ChatGPT

    , Authors: Dong-xu Cui, Shi-yu Long, Qiao Li
    Version 3 posted 02 June 2025

    Extract found to contain search terms

    ACS Central Science 2023, 9 (11), 2161-2170. DOI: 10.1021/acscentsci.3c01087. (5) Deb, J.; Saikia, L.; Dihingia, K. D.; Sastry, G. N. ChatGPT in the Material Design: Selected Case Studies to Assess the Potential of ChatGPT . Journal of Chemical Information and Modeling 2024, 64 (3), 799-811. DOI: 10.1021/acs.jcim.3c01702. (6) Mahjour, B.; Hoffstadt, J.; Cernak, T. Designing Chemical Re-action Arrays Using Phactor and ChatGPT . Organic Process Re- search & Development 2023, 27 (8), 1510-1516. DOI: 10.1021/acs.oprd.3c00186. (7) Hasrod, T.; Nuapia, Y. B.; Tutu, H. ChatGPT
    207
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    Category: Biological and Medicinal Chemistry
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    Working Paper
    , Title:

    Monoclonal Antibody Bioprocess Engineering Advancements Using Conversational Artificial Intelligence

    , Authors: Kevin Kawchak
    Version 1 posted 29 October 2024

    Extract found to contain search terms

    This novel work demonstrates o1-preview, ChatGPT -4o, L3.1-405B, and 3.5 Sonnet models’ fast and stateof-the-art solutions. In specific, o1-preview provided a response to 16 papers 110x faster than the manuscript author’s time after the number of words were set equal. In addition, ChatGPT -4o was 371x faster than an optimal human researcher to examine and provide an estimate regarding dimension reduction or combinatorial optimization for a recent paper by Kao, M., et al. The third LLM speed advantage of 336x by ChatGPT
    360
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    Category: Catalysis
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    Working Paper
    , Title:

    Co-Intelligent Design of Catalysis Research with Large Language Models: Hype or Reality?

    , Authors: David Balcells
    Version 2 posted 05 June 2025

    Extract found to contain search terms

    In a conversation based on a few prompts giving minimal guidance, ChatGPT -4o proved its co-design abilities at different levels of detail, making a major contribution to the definition of a research project concept and its workflows. Relevant flaws were also observed, highlighting the importance of involving critical thinking from highly-educated researchers. The assessment of the results by ChatGPT
    349
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