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1. Gall Watching Is the New Bird Watching

   https://doi.org/10.1093/ae/tmaf010  

   Pearse, Ian S; Samuels, Leah; Ribicoff, Gabe; Jaime-Rivera, Jorge; Hipp, Andrew L (January 2025, American Entomologist)

   Get outside and learn the galls; it's good biology, and it's good fun. 

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2. Watching a virus grow

   https://doi.org/10.1073/pnas.1915986116  

   Dragnea, Bogdan (November 2019, Proceedings of the National Academy of Sciences)

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3. Watching Plasmon-Induced Nanoparticle Ostwald Ripening

   https://doi.org/10.1021/acs.jpcc.3c04035  

   Alcorn, Francis M.; Chattoraj, Maya; van_der_Veen, Renske M; Jain, Prashant K. (August 2023, The Journal of Physical Chemistry C)
4. Watching a hydroperoxyalkyl radical (•QOOH) dissociate

   https://doi.org/10.1126/science.abj0412  

   Hansen, Anne S.; Bhagde, Trisha; Moore, III, Kevin B.; Moberg, Daniel R.; Jasper, Ahren W.; Georgievskii, Yuri; Vansco, Michael F.; Klippenstein, Stephen J.; Lester, Marsha I. (August 2021, Science)

   A prototypical hydroperoxyalkyl radical (•QOOH) intermediate, transiently formed in the oxidation of volatile organic compounds, was directly observed through its infrared fingerprint and energy-dependent unimolecular decay to hydroxyl radical and cyclic ether products. Direct time-domain measurements of •QOOH unimolecular dissociation rates over a wide range of energies were found to be in accord with those predicted theoretically using state-of-the-art electronic structure characterizations of the transition state barrier region. Unimolecular decay was enhanced by substantial heavy-atom tunneling involving O-O elongation and C-C-O angle contraction along the reaction pathway. Master equation modeling yielded a fully a priori prediction of the pressure-dependent thermal unimolecular dissociation rates for the •QOOH intermediate—again increased by heavy-atom tunneling—which are required for global models of atmospheric and combustion chemistry. 

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5. Semantic Visual Navigation by Watching YouTube Videos

   Chang, Matthew; Gupta, Arjun; Gupta, Saurabh (December 2020, Neural Information Processing Systems (NeurIPS), 2020)

   Semantic cues and statistical regularities in real-world environment layouts can improve efficiency for navigation in novel environments. This paper learns and leverages such semantic cues for navigating to objects of interest in novel environments, by simply watching YouTube videos. This is challenging because YouTube videos do not come with labels for actions or goals, and may not even showcase optimal behavior. Our method tackles these challenges through the use of Q-learning on pseudo-labeled transition quadruples (image, action, next image, reward). We show that such off-policy Q-learning from passive data is able to learn meaningful semantic cues for navigation. These cues, when used in a hierarchical navigation policy, lead to improved efficiency at the ObjectGoal task in visually realistic simulations. We observe a relative improvement of 15-83% over end-to-end RL, behavior cloning, and classical methods, while using minimal direct interaction. 

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