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    MSR-ACC/TAE25: The Next Generation of Accurate, Large-Scale Thermochemical Data for Computational Chemistry and AI

    In the ever-expanding world of computational chemistry, accurate and comprehensive reference datasets form the foundation for reliable predictions and the continual advancement of scientific methods. At the forefront of this revolution is the Microsoft Research Accurate Chemistry Collection...
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    • ai in chemistry atomization energies ccsd(t)/cbs chemical benchmarking chemical database chemical space exploration cloud computing chemistry computational chemistry data-driven discovery exascale computing graph enumeration high-precision chemistry machine learning in chemistry molecular accuracy molecular prediction msr-acc dataset quantum chemistry quantum computing quantum mechanical methods thermochemical data
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    Revolutionizing Quantum Chemistry: Deep Learning & Skala's Breakthrough in DFT

    Density Functional Theory (DFT) has long held a central role in the computational study of molecules and materials, acting as a bridge between quantum mechanics and real-world chemical behavior. Despite its status as a workhorse of computational chemistry, DFT’s true potential has been...
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    • ai in chemistry ai-driven functional development artificial intelligence chemical accuracy chemoinformatics computational chemistry advances computational materials science deep learning density functional theory dft electronic structure exchange-correlation functional high-throughput screening machine learning in chemistry materials discovery molecular modeling neural networks quantum chemistry quantum mechanics skala functional
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    Revolutionizing Computational Chemistry: Microsoft’s Deep Learning Breakthrough in Density Functional Theory

    The realm of computational chemistry stands on the threshold of a transformative revolution, thanks to a groundbreaking integration of deep learning with density functional theory (DFT). Long considered the workhorse of atomistic simulation, DFT is central to the predictive modeling of molecular...
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    • advances in dft ai in chemistry atomization energies benchmarking in chemistry chemical accuracy computational advancements computational chemistry deep learning density functional theory dft drug discovery high-accuracy modeling machine learning in chemistry materials science molecular simulation open science predictive modeling quantum chemistry scientific datasets skala functional
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