Graph neural networks accelerated molecular dynamics von Li, Zijie, Meidani, Kazem, Yadav, Prakarsh, Barati Farimani, Amir

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Adaptive grey wolf optimizer von Meidani, Kazem, Hemmasian, AmirPouya, Mirjalili, Seyedali, Barati Farimani, Amir

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Identification of parametric dynamical systems using integer programming von Meidani, Kazem, Barati Farimani, Amir

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Online metaheuristic algorithm selection von Meidani, Kazem, Mirjalili, Seyedali, Barati Farimani, Amir

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Data-driven identification of 2D Partial Differential Equations using extracted physical features von Meidani, Kazem, Barati Farimani, Amir

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MAB-OS: Multi-Armed Bandits Metaheuristic Optimizer Selection von Meidani, Kazem, Mirjalili, Seyedali, Barati Farimani, Amir

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Titanium Carbide MXene for Water Desalination: A Molecular Dynamics Study von Meidani, Kazem, Cao, Zhonglin, Barati Farimani, Amir

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MeltpoolNet: Melt pool characteristic prediction in Metal Additive Manufacturing using machine learning von Akbari, Parand, Ogoke, Francis, Kao, Ning-Yu, Meidani, Kazem, Yeh, Chun-Yu, Lee, William, Barati Farimani, Amir

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Graph convolutional networks applied to unstructured flow field data von Ogoke, Francis, Meidani, Kazem, Hashemi, Amirreza, Farimani, Amir Barati

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VecMetaPy: A vectorized framework for metaheuristic optimization in Python von Hemmasian, AmirPouya, Meidani, Kazem, Mirjalili, Seyedali, Barati Farimani, Amir

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Inverse Lighting with Differentiable Physically-Based Model von Meidani, Kazem, Borovikov, Igor, Barati Farimani, Amir, Chaput, Harold

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Transformer for Partial Differential Equations' Operator Learning von Li, Zijie, Meidani, Kazem, Farimani, Amir Barati

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SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training von Meidani, Kazem, Shojaee, Parshin, Reddy, Chandan K, Farimani, Amir Barati

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Transformer-based Planning for Symbolic Regression von Shojaee, Parshin, Meidani, Kazem, Farimani, Amir Barati, Reddy, Chandan K

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LLM-SR: Scientific Equation Discovery via Programming with Large Language Models von Shojaee, Parshin, Meidani, Kazem, Gupta, Shashank, Farimani, Amir Barati, Reddy, Chandan K

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Transformer for Partial Differential Equations' Operator Learning von Li, Zijie, Meidani, Kazem, Amir Barati Farimani

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Data-driven Identification of 2D Partial Differential Equations using extracted physical features von Meidani, Kazem, Amir Barati Farimani

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Graph Neural Networks Accelerated Molecular Dynamics von Li, Zijie, Meidani, Kazem, Yadav, Prakarsh, Amir Barati Farimani

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SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training von Meidani, Kazem, Shojaee, Parshin, Reddy, Chandan K, Amir Barati Farimani

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Transformer-based Planning for Symbolic Regression von Shojaee, Parshin, Meidani, Kazem, Amir Barati Farimani, Reddy, Chandan K

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