We fabricate a scalable mini-module-sized artificial leaf (16 cm2) consisting of a parallel configuration of photoanode and photocathode architecture integrated with a 4 × 4 array based unbiased solar water-splitting system with a stable ‘module-level’ solar-to-hydrogen efficiency of 11.2%.

Nature Ecology & Evolution Community

17.09.2025

Seeing the unseen: How hybrid nano-assemblies make biosensing sharper and smarter | Research Communities by Springer Nature

Seeing single biomolecules is hard because lone nanoparticles scatter and absorb light weakly. Using cryosoret nano-assemblies of gold and iron oxide on photonic crystals, researchers at UIUC amplified absorption signals, enabling high-contrast, digital counting of cancer-specific biomolecules.

Nature Ecology & Evolution Community

17.09.2025

Behind the scenes: researching long COVID and menstruation | Research Communities by Springer Nature

When the COVID-19 pandemic began, few of us anticipated the lingering aftermath that would emerge in its wake. As a researcher in women's health, I found myself drawn into an unexpected and urgent area of study: the intersection of long COVID and menstruation.

Nature Ecology & Evolution Community

17.09.2025

How General Relativity and Differential Geometry helped solving Differential Equations in extreme regimes with Physics Informed Neural Networks | Research Communities by Springer Nature

We present the Unimodular Regularization technique, which improves efficiency of Physics Informed Neural Networks when solving complex differential equations. Interestingly, it took inspiration in general relativity -our theory of gravity- and differential geometry, when applied to neural networks.

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Scalable photoelectrochemical mini-module | Research Communities by Springer Nature

Seeing the unseen: How hybrid nano-assemblies make biosensing sharper and smarter | Research Communities by Springer Nature

Behind the scenes: researching long COVID and menstruation | Research Communities by Springer Nature

How General Relativity and Differential Geometry helped solving Differential Equations in extreme regimes with Physics Informed Neural Networks | Research Communities by Springer Nature

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