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1. PINNs_MPF--a-Physics-Informed-Neural-Network-for-Multi-Phase-Field-problems PINNs_MPF--a-Physics-Informed-Neural-Network-for-Multi-Phase-Field-problems Public

   PINNs-MPF is a comprehensive framework designed for simulating interface dynamics using Physics-Informed Neural Networks (PINNs). Leveraging machine learning techniques, this framework offers an ef…

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2. Extended-KKS-Phase-Field-model Extended-KKS-Phase-Field-model Public

   A Phase-field model for growth and coarsening of Si precipitates in AlSi10Mg SLM/LPBF in a super-saturated matrix, with potential for solidification dynamics. We make it available as home-made Open…

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3. Omdena-UEFAEURO2024 Omdena-UEFAEURO2024 Public

   I lead a talented team of AI enthusiasts to develop a groundbreaking product that serves as a benchmark for applying machine learning and data science in football and sports in general

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4. Physics-Informed-Neural-Networks-for-Phase-Field Physics-Informed-Neural-Networks-for-Phase-Field Public

   Explore a simple and efficient PINNs implementation for resolving Allen-Cahn equations.

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5. NLP_Seq_2_Seq_with_Attention_Mechanism NLP_Seq_2_Seq_with_Attention_Mechanism Public

   Sequence to Sequence Learning with Attention Mechanism for Language Translation

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6. Accelereation_of_simulations___Autoencoder_LSTM_Project Accelereation_of_simulations___Autoencoder_LSTM_Project Public

   Integration of RNNs( LSTMs, GRUs et.), Autoencoders, and PCA for phase-field simulation learning and next-frame predictions.

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