Editorial: Driving Innovation in Organic Optoelectronic Materials With Physics-Based and Machine-Learning De Novo Methods per Paul Winget, Mathew D. Halls, Rafael Gómez-Bombarelli, Chihaya Adachi

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Molecular-Scale Exploration of Mechanical Properties and Interactions of Poly(lactic acid) with Cellulose and Chitin per Paulo G. M. Mileo, Caroline M. Krauter, Jeffrey M. Sanders, Andrea R. Browning, Mathew D. Halls

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Development of scalable and generalizable machine learned force field for polymers per Shaswat Mohanty, James Stevenson, Andrea R. Browning, Leif Jacobson, Karl Leswing, Mathew D. Halls, Mohammad Atif Faiz Afzal

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Virtual screening of electron acceptor materials for organic photovoltaic applications per Mathew D Halls, Peter J Djurovich, David J Giesen, Alexander Goldberg, Jonathan Sommer, Eric McAnally, Mark E Thompson

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Design of Organic Electronic Materials With a Goal-Directed Generative Model Powered by Deep Neural Networks and High-Throughput Molecular Simulations per H. Shaun Kwak, Yuling An, David J. Giesen, Thomas F. Hughes, Christopher T. Brown, Karl Leswing, Hadi Abroshan, Mathew D. Halls

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Advancing material property prediction: using physics-informed machine learning models for viscosity per Alex K. Chew, Matthew Sender, Zachary Kaplan, Anand Chandrasekaran, Jackson Chief Elk, Andrea R. Browning, H. Shaun Kwak, Mathew D. Halls, Mohammad Atif Faiz Afzal

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