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Large Language Models (LLMs) have emerged as powerful tools for tackling a wide range of problems, including those in scientific computing, particularly in solving partial differential equations (PDEs).
The solution of a set of reaction rate equations
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Llm–a nonhydrostatic model applied to high-resolving simulations of turbulent fluxes over heterogeneous terrain
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Llm and x-fem based interface modeling of fluid–thin structure interactions on a non-interface-fitted mesh
Tomohiro Sawada and Akira Tezuka · 2011
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The mnist database of handwritten digit images for machine learning research [best of the web]
Li Deng · 2012
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TensorFlow: Large-scale machine learning on heterogeneous systems, 2015
Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Jozefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dandelion Mané, Rajat Monga, Sherry Moore, Derek Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng · 2015
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Kam for the nonlinear beam equation
L Hakan Eliasson, Benoît Grébert, and Sergei B Kuksin · 2016
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Attention is all you need
A Waswani, N Shazeer, N Parmar, J Uszkoreit, L Jones, A Gomez, L Kaiser, and I Polosukhin · 2017
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JAX: composable transformations of Python+NumPy programs, 2018
James Bradbury, Roy Frostig, Peter Hawkins, Matthew James Johnson, Chris Leary, Dougal Maclaurin, George Necula, Adam Paszke, Jake VanderPlas, Skye Wanderman-Milne, and Qiao Zhang · 2018
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Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
Maziar Raissi, Paris Perdikaris, and George E Karniadakis · 2019
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Physics-informed machine learning
George Em Karniadakis, Ioannis G Kevrekidis, Lu Lu, Paris Perdikaris, Sifan Wang, and Liu Yang · 2021
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Learning nonlinear operators via deeponet based on the universal approximation theorem of operators
Lu Lu, Pengzhan Jin, Guofei Pang, Zhongqiang Zhang, and George Em Karniadakis · 2021
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Scientific machine learning benchmarks
Jeyan Thiyagalingam, Mallikarjun Shankar, Geoffrey Fox, and Tony Hey · 2022
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Using llm (large language model) to improve efficiency in literature review for undergraduate research
Shouvik Ahmed Antu, Haiyan Chen, and Cindy K Richards · 2023
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Llm-assisted content analysis: Using large language models to support deductive coding
Robert Chew, John Bollenbacher, Michael Wenger, Jessica Speer, and Annice Kim · 2023
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Chatgpt for computational materials science: a perspective
Zijian Hong · 2023
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Challenges and limitations of chatgpt and artificial intelligence for scientific research: a perspective from organic materials
Hao-Wen Cheng · 2023
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Can artificial intelligence-strengthened chatgpt or other large language models transform nucleic acid research?
Srijan Chatterjee, Manojit Bhattacharya, Sang-Soo Lee, and Chiranjib Chakraborty · 2023
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Chatgpt in radiology: the advantages and limitations of artificial intelligence for medical imaging diagnosis
Samriddhi Srivastav, Rashi Chandrakar, Shalvi Gupta, Vaishnavi Babhulkar, Sristy Agrawal, Arpita Jaiswal, Roshan Prasad, Mayur B Wanjari, Vaishnavi P Babhulkar IV, Sristy Agarwal, et al · 2023
Advancing medical imaging with language models: featuring a spotlight on chatgpt
Mingzhe Hu, Joshua Qian, Shaoyan Pan, Yuheng Li, Richard LJ Qiu, and Xiaofeng Yang · 2024
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Metaopenfoam: an llm-based multi-agent framework for cfd
Yuxuan Chen, Xu Zhu, Hua Zhou, and Zhuyin Ren · 2024
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The problems of llm-generated data in social science research
Luca Rossi, Katherine Harrison, and Irina Shklovski · 2024
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Ai-enabled chatgpt or llm: a new algorithm is required for plagiarism-free scientific writing
Soumen Pal, Manojit Bhattacharya, Md Aminul Islam, and Chiranjib Chakraborty · 2024
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Properties and challenges of llm-generated explanations
Jenny Kunz and Marco Kuhlmann · 2024
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The impact of chatgpt and llms on medical imaging stakeholders: perspectives and use cases
Jiancheng Yang, Hongwei Bran Li, and Donglai Wei · 2023
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A survey on large language models: Applications, challenges, limitations, and practical usage
Muhammad Usman Hadi, Rizwan Qureshi, Abbas Shah, Muhammad Irfan, Anas Zafar, Muhammad Bilal Shaikh, Naveed Akhtar, Jia Wu, Seyedali Mirjalili, et al · 2023
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Contribution and performance of chatgpt and other large language models (llm) for scientific and research advancements: a double-edged sword
Nitin Liladhar Rane, Abhijeet Tawde, Saurabh P Choudhary, and Jayesh Rane · 2023
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Deceptive semantic shortcuts on reasoning chains: How far can models go without hallucination?
Bangzheng Li, Ben Zhou, Fei Wang, Xingyu Fu, Dan Roth, and Muhao Chen · 2023
Cited alongside, same era.
Self-contradictory hallucinations of large language models: Evaluation, detection and mitigation
Niels Mündler, Jingxuan He, Slobodan Jenko, and Martin Vechev · 2023
Cited alongside, same era.
Gpt vs human for scientific reviews: A dual source review on applications of chatgpt in science
Chenxi Wu, Alan John Varghese, Vivek Oommen, and George Em Karniadakis · 2023
Cited alongside, same era.
Chatcite: Llm agent with human workflow guidance for comparative literature summary
Yutong Li, Lu Chen, Aiwei Liu, Kai Yu, and Lijie Wen · 2024
Cited alongside, same era.
Evaluating the cognitive level of gpt models in mathematics
Jacob Evans, Cody Goldschmidt, and Yilian Zhang · 2024
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Hongwei Liu, Zilong Zheng, Yuxuan Qiao, Haodong Duan, Zhiwei Fei, Fengzhe Zhou, Wenwei Zhang, Songyang Zhang, Dahua Lin, and Kai Chen · 2024
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U-math: A university-level benchmark for evaluating mathematical skills in llms
Konstantin Chernyshev, Vitaliy Polshkov, Ekaterina Artemova, Alex Myasnikov, Vlad Stepanov, Alexei Miasnikov, and Sergei Tilga · 2024
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Sciassess: Benchmarking llm proficiency in scientific literature analysis
Hengxing Cai, Xiaochen Cai, Junhan Chang, Sihang Li, Lin Yao, Changxin Wang, Zhifeng Gao, Hongshuai Wang, Yongge Li, Mujie Lin, et al · 2024
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