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Abstract Quantum-mechanical simulations provide the most fundamental description of matter, yet their computational cost commonly limits applications to systems containing at most thousands of atoms. Here, we present an ...

Abstract Echo State Networks are recurrent neural networks that leverage a random reservoir’s dynamics, training only a simple readout layer. This approach is computationally efficient but limits network performance. B...

Abstract The massive production of plastics, together with inadequate waste management, has intensified the problem of plastic pollution. Recently, the scientific community has increasingly investigated the interactions ...

Abstract Single-cell RNA sequencing (scRNA-seq) has revolutionized our understanding of cellular heterogeneity in complex biological systems. However, analyzing and integrating scRNA-seq data poses unique computational c...

Abstract The reflex arc is fundamental to the physiology of posture and robust locomotion. Mimicking biological reflexes in engineered systems has, therefore, high potential to improve robustness and learning performance...

Abstract Melatonin plays a key role in circadian regulation, and its interaction with the gut microbiota may be critical for early-life development. Beyond its circadian function, melatonin dysregulation is implicated in...

Abstract The past 25 years have seen remarkable progress in plant circadian biology. This perspective highlights major advances in our understanding of the oscillator network, the processes it regulates, and circadian va...