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Results for " Nature Computational Science " 17 found 🔀 AI-powered Shuffle
Steering complex rhythms
Nature Computational Science - A recent study reports a property-first computational strategy, identifying coordinated parameter changes that can tune several features of a complex oscillator at...
Intuitive enzyme design with LLM agents
Nature Computational Science - A collaborative system of large language model agents brings protein engineering closer to natural-language interaction, lowering the barrier between human intent and...
DiffSyn: a generative diffusion approach to materials synthesis planning
Nature Computational Science - A generative AI approach is developed for predicting materials synthesis recipes—a complex challenge in materials science. Using this approach, the authors...
Discovering the laws behind complex networked systems
Nature Computational Science - A recent study shows that neural symbolic regression offers a route to automated discovery of governing equations for network dynamics across high-dimensional complex...
Structural alignments to design functional RNAs
Nature Computational Science - A new method designs RNA sequences by learning from alignments of structurally similar molecules, producing aptamers and ribozymes that are experimentally validated.
Continual integration of single-cell multimodal data with MIRACLE
Nature Computational Science - MIRACLE is an online continual learning framework that efficiently integrates single-cell multimodal data across batches, modalities, tissues, and diseases.
Photonic circuits become trainable AI hardware
Nature Computational Science - A physics-based in situ learning method is demonstrated that directly measures optical gradients with photonic integrated circuits, allowing diverse circuit...
Epidemiological modeling in the age of artificial intelligence
Nature Computational Science - Artificial intelligence is enabling epidemic models to learn across outbreaks. The next challenge is ensuring that these models learn and transfer not mere...
Testing longitudinal gene–environment interactions
Nature Computational Science - A gene–environment interaction test (SAGELD) is developed to speed up large-scale genome-wide analyses using longitudinal data, facilitating novel discoveries...
Translating biodiversity into chemical diversity
Nature Computational Science - DeepSeMS, a transformer-based generative framework, translates biodiversity into chemical diversity by predicting microbial secondary metabolite structures directly...
Modeling context-dependent RNA splicing by deep learning
Nature Computational Science - A framework called HELIX provides a strategy for predicting full-length transcript isoform usage across diverse biological contexts by integrating sequence features...
Digital twins for self-driving chemistry laboratories
Nature Computational Science - Digital twins of self-driving chemistry laboratories may help reduce reliance on costly real-world experimentation and enable the testing of hypothetical automated...
Cover runners-up of 2025
Nature Computational Science - We highlight some of our favorite cover suggestions from 2025.
Gaining biological insights through supervised data visualization
Nature Computational Science - This study introduces RF-PHATE, a supervised visualization method that preserves data structure while revealing biological patterns, enabling insights into disease...
Choreographing molecular design with TANGO
Nature Computational Science - A reward function (TANGO) is developed to enforce building blocks in generative artificial intelligence and leverage the synthesizability of high-value materials.
Deep learning for asymmetric catalysis
Nature Computational Science - A recent study develops a model for predicting stereoselectivity and absolute configurations in asymmetric hydrogenation of olefins.
Spatial transcriptome for cell segmentation
Nature Computational Science - A diffusion-based multimodal framework called DISSECT leverages transcriptomic gradients to refine segmentation boundaries, enabling high-precision single-cell...