Improved Predictions of Organic Photovoltaic Performance through Machine Learning Models Empowered by Artificially Generated Failure Data | Chemistry of Materials
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How To Optimize Materials and Devices via Design of Experiments and Machine Learning: Demonstration Using Organic Photovoltaics | ACS Nano
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Machine Learning and Optoelectronic Materials Discovery: A Growing Synergy | The Journal of Physical Chemistry Letters
Hemocompatibility Evaluation of Biomaterials—The Crucial Impact of Analyzed Area | ACS Biomaterials Science & Engineering
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Hierarchical Machine Learning for High-Fidelity 3D Printed Biopolymers | ACS Biomaterials Science & Engineering
Rapid Dataâ•'Efficient Optimization of Perovskite Nanocrystal Syntheses through Machine Learning Algorithm Fusion
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Methodology to Detect Biological Particles Using a Biosensing Surface Integrated in Resistive Pulse Sensing,ACS Applied Materials & Interfaces - X-MOL
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