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Where Nanosensors Meet Machine Learning: Prospects and Challenges in Detecting Disease X

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Discovery of Energy Storage Molecular Materials Using Quantum Chemistry-Guided Multiobjective Bayesian Optimization

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Automated electrolyte formulation and coin cell assembly for high-throughput lithium-ion battery research

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Organic Semiconducting Polymers for Augmenting Biosynthesis and Bioconversion

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Mapping pareto fronts for efficient multi-objective materials discovery

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Screening cyclooxygenase-2 inhibitors from Allium sativum L. compounds: in silico approach

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Direct Prediction of Phonon Density of States With Euclidean Neural Networks

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Closed‐Loop Multi‐Objective Optimization for Cu–Sb–S Photo‐Electrocatalytic Materials’ Discovery

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Computational Modeling of Properties of Quantum Dots and Nanostructures: From First Principles to Artificial Intelligence (A Review)

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Anubis: Bayesian optimization with unknown feasibility constraints for scientific experimentation

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Chemically-informed data-driven optimization (ChIDDO): leveraging physical models and Bayesian learning to accelerate chemical research

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Data Science in Chemical Engineering: Applications to Molecular Science

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Multi-objective optimization: evolutionary to hybrid framework

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RECOB: Reliable Benchmarking of Experimental Optimization in Chemistry and Materials SciencePreprint

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