Physics-Informed Bayesian Optimization for Conformational Ensemble Augmentation حسب Ivan A. Bespalov (21491561)

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Physics-Informed Bayesian Optimization for Conformational Ensemble Augmentation حسب Ivan A. Bespalov (21491561)

الموضوعات:

Physics-Informed Bayesian Optimization for Conformational Ensemble Augmentation حسب Ivan A. Bespalov (21491561)

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PROFIS: Design of Target-Focused Libraries by Probing Continuous Fingerprint Space with Recurrent Neural Networks حسب Hubert Rybka (21190469)

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Computational Micromechanics and Machine Learning-Informed Design of Composite Carbon Fiber-Based Structural Battery for Multifunctional Performance Prediction حسب Mohamad A. Raja (19640297)

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PROFIS: Design of Target-Focused Libraries by Probing Continuous Fingerprint Space with Recurrent Neural Networks حسب Hubert Rybka (21190469)

الموضوعات:

PROFIS: Design of Target-Focused Libraries by Probing Continuous Fingerprint Space with Recurrent Neural Networks حسب Hubert Rybka (21190469)

الموضوعات:

PROFIS: Design of Target-Focused Libraries by Probing Continuous Fingerprint Space with Recurrent Neural Networks حسب Hubert Rybka (21190469)

الموضوعات:

PROFIS: Design of Target-Focused Libraries by Probing Continuous Fingerprint Space with Recurrent Neural Networks حسب Hubert Rybka (21190469)

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Autonomous Robotic Mechanical Exfoliation of Two-Dimensional Semiconductors Combined with Bayesian Optimization حسب Fan Yang (1413)

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Autonomous Robotic Mechanical Exfoliation of Two-Dimensional Semiconductors Combined with Bayesian Optimization حسب Fan Yang (1413)

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Autonomous Robotic Mechanical Exfoliation of Two-Dimensional Semiconductors Combined with Bayesian Optimization حسب Fan Yang (1413)

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Accelerated Discovery of Solid-State Electrolytes Using Bayesian Optimization حسب Sherif Abdulkader Tawfik (3820180)

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Summary of swarm intelligence algorithms of solving IM problems. حسب Lihong Han (7280045)

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Evolution of the LIE value over 500 iterations across the four experimental networks. حسب Lihong Han (7280045)

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Statistical graph of processing time of each algorithm in six experimental networks when K = 30 and p = 0.01. حسب Lihong Han (7280045)

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Local search diagram based on crow tracking and anti-tracking behavior. حسب Lihong Han (7280045)

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Line chart of influence propagation results of different algorithms when propagation probability p = 0.01. حسب Lihong Han (7280045)

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Experimental results of each algorithm on network CondMat, SynRand, Slashdot and Email under the parameter setting K = 30 and p = 0.01. حسب Lihong Han (7280045)

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LIE value carves of different algorithms when propagation probability p = 0.01. حسب Lihong Han (7280045)

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