Low-cost machine learning prediction of excited state properties of iridium-centered phosphors von Terrones, Gianmarco G, Duan, Chenru, Nandy, Aditya, Kulik, Heather J

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MOFSimplify, machine learning models with extracted stability data of three thousand metal–organic frameworks von Nandy, Aditya, Terrones, Gianmarco, Arunachalam, Naveen, Duan, Chenru, Kastner, David W., Kulik, Heather J.

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Metal–Organic Framework Stability in Water and Harsh Environments from Data-Driven Models Trained on the Diverse WS24 Data Set von Terrones, Gianmarco G., Huang, Shih-Peng, Rivera, Matthew P., Yue, Shuwen, Hernandez, Alondra, Kulik, Heather J.

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Machine Learning Prediction of the Experimental Transition Temperature of Fe(II) Spin-Crossover Complexes von Vennelakanti, Vyshnavi, Kilic, Irem B., Terrones, Gianmarco G., Duan, Chenru, Kulik, Heather J.

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Data-Driven Screening and Discovery of Metal–Organic Frameworks as C2 Adsorbents from over 900 Experimental Isotherms von Rivera, Matthew P., Terrones, Gianmarco G., Lee, Tae Hoon, Smith, Zachary P., Kulik, Heather J.

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Data-Driven Screening and Discovery of Metal-Organic Frameworks as C 2 Adsorbents from over 900 Experimental Isotherms von Rivera, Matthew P, Terrones, Gianmarco G, Lee, Tae Hoon, Smith, Zachary P, Kulik, Heather J

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Visible light-mediated aza Paternò-Büchi reaction of acyclic oximes and alkenes to azetidines von Wearing, Emily R, Yeh, Yu-Cheng, Terrones, Gianmarco G, Parikh, Seren G, Kevlishvili, Ilia, Kulik, Heather J, Schindler, Corinna S

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A Semi‐Automated, High‐Throughput Approach for the Synthesis and Identification of Highly Photo‐Cytotoxic Iridium Complexes von Kench, Timothy, Rahardjo, Arielle, Terrones, Gianmarco G., Bellamkonda, Adinarayana, Maher, Thomas E., Storch, Marko, Kulik, Heather J., Vilar, Ramon

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Effects of MOF linker rotation and functionalization on methane uptake and diffusion von Yue, Shuwen, Oh, Changhwan, Nandy, Aditya, Terrones, Gianmarco G, Kulik, Heather J

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Active Learning Exploration of Transition-Metal Complexes to Discover Method-Insensitive and Synthetically Accessible Chromophores von Duan, Chenru, Nandy, Aditya, Terrones, Gianmarco G, Kastner, David W, Kulik, Heather J

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A Semi‐Automated, High‐Throughput Approach for the Synthesis and Identification of Highly Photo‐Cytotoxic Iridium Complexes von Kench, Timothy, Rahardjo, Arielle, Terrones, Gianmarco G., Bellamkonda, Adinarayana, Maher, Thomas E., Storch, Marko, Kulik, Heather J., Vilar, Ramon

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Visible-Light-Mediated Macrocyclization for the Formation of Azetine-Based Dimers von Ng, Cody H., Kim, Scott L., Kevlishvili, Ilia, Terrones, Gianmarco G., Wearing, Emily R., Kulik, Heather J., Schindler, Corinna S.

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A database of ultrastable MOFs reassembled from stable fragments with machine learning models von Nandy, Aditya, Yue, Shuwen, Oh, Changhwan, Duan, Chenru, Terrones, Gianmarco G., Chung, Yongchul G., Kulik, Heather J.

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SESAMI APP: An Accessible Interface for Surface Area Calculation of Materials from Adsorption Isotherms von Terrones, Gianmarco G., Chen, Yu, Datar, Archit, Lin, Li-Chiang, Kulik, Heather J., Chung, Yongchul G.

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MOFSimplify, machine learning models with extracted stability data of three thousand metal–organic frameworks von Nandy, Aditya, Terrones, Gianmarco, Arunachalam, Naveen, Duan, Chenru, Kastner, David W., Kulik, Heather J.

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Effects of MOF linker rotation and functionalization on methane uptake and diffusion von Yue, Shuwen, Oh, Changhwan, Nandy, Aditya, Terrones, Gianmarco G., Kulik, Heather J.

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Low-cost machine learning approach to the prediction of transition metal phosphor excited state properties von Terrones, Gianmarco, Duan, Chenru, Nandy, Aditya, Kulik, Heather J

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Active Learning Exploration of Transition Metal Complexes to Discover Method-Insensitive and Synthetically Accessible Chromophores von Duan, Chenru, Nandy, Aditya, Terrones, Gianmarco, Kastner, David W, Kulik, Heather J

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A Database of Ultrastable MOFs Reassembled from Stable Fragments with Machine Learning Models von Nandy, Aditya, Yue, Shuwen, Oh, Changhwan, Duan, Chenru, Terrones, Gianmarco G, Chung, Yongchul G, Kulik, Heather J

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K-C2 Dataset von Kulik, Heather, Rivera, Matthew, Terrones, Gianmarco, Lee, Tae Hoon, Smith, Zachary

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