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A unified predictive and generative solution for liquid electrolyte formulation

Yang et al. introduce a unified framework for liquid electrolyte design, integrating a forward predictive model with an inverse generative approach, where three generated high-conductivity candidates were identified and experimentally validated.

Zhenze Yang
Yifan Wu
Wen Yan
Research28 Jan 2026
Nature Machine Intelligence

Volume: 8, P: 186-196
CellNavi predicts genes directing cellular transitions by learning a gene graph-enhanced cell state manifold

The authors integrate single-cell transcriptomic data with prior gene graphs to produce a biologically meaningful cell state manifold that can predict driver genes for genetic perturbations and differentiation events across diverse cell types.

Tianze Wang
Yan Pan
Pan Deng
ResearchOpen Access03 Oct 2025
Nature Cell Biology

Volume: 27, P: 1863-1874
The risk of human- and mammal-infecting tick-borne viruses in northwest China and adjacent countries

The authors identify 92 tick-associated viruses, including ten pathogenic to humans in northwest China and adjacent countries. They predict a significant increase of major pathogenic viruses and their vectors in high-risk regions.

Hong Zhou
Hengcong Liu
Weifeng Shi
ResearchOpen Access02 Dec 2025
Nature Communications

Volume: 17, P: 1-14
The size of critical secondary nuclei of polymer crystals does not depend on supersaturation

Determining the size of critical nuclei remains challenging. Here the authors propose a method to determine the size of critical secondary nuclei on growth faces of poly(butylene succinate) single crystals in solution, using the probability of statistically selecting crystallizable units in random copolymers.

Yang Liu
Zhiqi Wang
Jun Xu
ResearchOpen Access22 Apr 2025
Nature Communications

Volume: 16, P: 1-11
A predictive machine learning force-field framework for liquid electrolyte development

A machine learning force-field framework is proposed to predict the density, viscosity and ionic conductivity of liquid electrolytes with accuracy that is higher than classical force fields.

Sheng Gong
Yumin Zhang
Liang Xiang
Research01 Apr 2025
Nature Machine Intelligence

Volume: 7, P: 543-552
A pan-disease and population-level single-cell TCRαβ repertoire reference

Ziwei Xue
Lize Wu
Wanlu Liu
ResearchOpen Access14 Oct 2025
Cell Discovery

Volume: 11, P: 1-15
Targeting Aurora-A inhibits tumor progression and sensitizes thyroid carcinoma to Sorafenib by decreasing PFKFB3-mediated glycolysis

Zhi Jingtai
Hu Linfei
Zheng Xiangqian
ResearchOpen Access29 Mar 2023
Cell Death & Disease

Volume: 14, P: 1-11

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A unified predictive and generative solution for liquid electrolyte formulation

CellNavi predicts genes directing cellular transitions by learning a gene graph-enhanced cell state manifold

The risk of human- and mammal-infecting tick-borne viruses in northwest China and adjacent countries

The size of critical secondary nuclei of polymer crystals does not depend on supersaturation

A predictive machine learning force-field framework for liquid electrolyte development

A pan-disease and population-level single-cell TCRαβ repertoire reference

Targeting Aurora-A inhibits tumor progression and sensitizes thyroid carcinoma to Sorafenib by decreasing PFKFB3-mediated glycolysis

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