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๐—”๐— ๐—ฆ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ ๐—ถ๐˜€ ๐—›๐—ฒ๐—ฟ๐—ฒ โ€“ ๐—™๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ, ๐—ฎ๐—ป๐—ฑ ๐— ๐—ผ๐—ฟ๐—ฒ ๐—ฃ๐—ผ๐˜„๐—ฒ๐—ฟ๐—ณ๐˜‚๐—น! Weโ€™re introducing AMS2025 and BumbleBee 2025, packed with major advancements in OLED Device Modeling & Organic Electronics, more Machine Learning Potentials, and Quantum ESPRESSO integrations. ๐ŸŒŸ ๐—ช๐—ต๐—ฎ๐˜โ€™๐˜€ ๐—ก๐—ฒ๐˜„? ๐Ÿ”น Bumblebee 2025 โ€“ Go beyond 1D Drift-Diffusion for OLED device modeling ๐Ÿ”น Multiscale OLED Workflow โ€“ Now significantly faster with AMS ๐Ÿ”น New Machine Learning Potentials โ€“ Run CHGNet, FairChem, MACE, MatterSim, ORB, and many more via AMS ๐Ÿ”น Upgraded GUI โ€“ Faster startup, JuPyter support and much improved Packmol interface ๐Ÿ”น Quantum ESPRESSO Enhancements โ€“ IR, Raman, Work function, and Phonons for crystals ๐Ÿ”น COSMO-SAC DHB-MESP โ€“ Improved prediction of fluid thermodynamic properties for associating fluids ๐Ÿ”น All-around Improvements โ€“ Performance, stability, and usability refinements With AMS2025, researchers and engineers have the tools to push the boundaries of materials science and computational chemistry. https://lnkd.in/erabjGU9 ๐Ÿ’ก ๐—˜๐˜…๐—ฝ๐—น๐—ผ๐—ฟ๐—ฒ ๐˜„๐—ต๐—ฎ๐˜โ€™๐˜€ ๐—ฝ๐—ผ๐˜€๐˜€๐—ถ๐—ฏ๐—น๐—ฒ ๐˜„๐—ถ๐˜๐—ต ๐—”๐— ๐—ฆ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ ๐˜๐—ผ๐—ฑ๐—ฎ๐˜†! #computationalchemistry #compchem #materialsscience #materials #oled #display #simulation

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