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Transferability and Accuracy of Ionic Liquid Simulations with Equivariant Machine Learning Interatomic Potentials
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Capturing short-range order in high-entropy alloys with machine learning potentials
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Machine learning accelerated prediction of Ce-based ternary compounds involving antagonistic pairs
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A Physics-Informed Machine Learning Approach Utilizing Multiband Satellite Data for Solar Irradiance Estimation - Proceedings Paper
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Understanding phase transitions of α-quartz under dynamic compression conditions - machine-learning driven atomistic simulations
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The Multimodal Universe - 100 TB of Machine Learning Ready Astronomical Data
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UNCERTAINTY-ENABLED MACHINE LEARNING FOR EMULATION OF REGIONAL SEA-LEVEL CHANGE CAUSED BY THE ANTARCTIC ICE SHEET
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Origin of the Yield Stress Anomaly in L1 2 Intermetallics - Unveiled with Physically-Informed Machine-Learning Potentials
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Combining Machine Learning with Computational Fluid Dynamics using OpenFOAM and SmartSim
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Machine Learning Models for Accurately Predicting Properties of CsPbCl3 Perovskite Quantum Dots - Research summary
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Alternating carnivore and Neanderthal activities at Escoural Cave - insights from thetaphonomic and machine learning analysis of leporid remains
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Predicting the stress level of students using Supervised Machine Learning and Artificial Neural Network (ANN) - Research Study
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A Machine Learning-Based Inter-Turn Short-Circuit Diagnosis for Multi-Three-Phase Brushless Motors
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Machine Learning and Optimization Techniques for Solving Inverse Kinematics in a 7-DOF Robotic Arm - Paper Summary
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