Efficient electron extraction in photoelectrocatalysts requires matching energy levels between semiconductors and catalysts. Here, the authors show this matching enhances electron extraction from copper oxide by combining platinum nanoclusters and iron single-atom catalysts.

The addition of magnetic dopants to semiconductor quantum dots can enhance the quantum efficiency of photon-to-exciton conversion through spin-exchange carrier multiplication. Here, the authors show that this effect can be utilized to boost photocurrent in films of Mn-doped CdSe/HgSe quantum dots with an inverted band structure.

Hyperbolic shear polaritons (HShPs) are strongly confined light-matter excitations that have been previously observed in low-symmetry 3D materials with limited tunability. Here, the authors report the observation and manipulation of HShPs in twisted bilayers α-MoO₃ by tuning the sample structure or using a graphene electrostatic gate.

Recent work has demonstrated a continuous time crystal in an electron-nuclear spin system in the InGaAs semiconductor. Here, using periodic modulation, the authors reveal effects of synchronization, quasi-periodic, and chaotic dynamics, demonstrating universal nonlinear effects in a time-crystalline platform.

Shapiro steps are quantized plateaus in the velocity-force curve of a driven system, where velocity remains constant despite increasing the force. Previously, integer steps have been observed for microscopic particles in sinusoidal potentials. By driving a colloidal particle through a time-modulated, non-sinusoidal optical landscape, the authors demonstrate the emergence of fractional Shapiro steps and uncover their microscopic mechanisms, enabling precise control through optical potential design.

Evaluating soil metal(loid) mobility at large scales is nearly intractable by laboratory experiments. This study uses theory-guided machine learning methods to map the global distribution of soil metal(loid) mobility and analyzes its primary drivers.

The paper maps air pollution from power plants supplying electricity to US Bitcoin mines. It finds that 1.9 million people in 2022-2023 breathed toxic amounts of Bitcoin mine attributable pollution, particularly around New York City and Houston.

This study provides a framework for mass spectrometry imaging experiments across biological replicates through machine learning-assisted processing of spatial lipidomics data from mouse lungs following allergen and ozone exposure.

Low-pressure wind tunnel experiments suggest that large sand ripples on Mars are drag ripples, not impact ripples. Windblown drag ripples constitute an untapped record of atmospheric evolution under tenuous atmospheres across the Solar System.

This paper shows that the data and methods used to partition precipitation into rain and snow are fundamentally flawed at air temperatures near the freezing point. Machine learning methods cannot overcome the performance dip and biases of the existing traditional techniques, highlighting the need for new approaches.

For decades, research on Alzheimer’s disease and dementia has lacked a unified framework. This Perspective explores the convergence of key amyloid protein oligomerization processes that drive neurodegeneration and cerebrovascular damage, aiming to advance effective diagnosis and treatment of amyloid diseases.

Cross-species transcriptomics on vulnerable neuronal populations unravels the transcription factor CREB3 and its regulatory network as resilience markers of ALS. Genetics and epidemiology further identify the protective rare variant CREB3R119G.

The nexus of biotechnology, information technology, nanotechnology and engineering is at the heart of innovation. Here the authors explore breakthroughs in integrating chip technology and bioinformational processing for this emerging interface of bio-inspired engineering and engineering-enabled biology.

The authors present structures of FFA2 bound to TUG-1375/4-CMTB or GLPG0974, revealing how the receptor selects lipid chain lengths and is allosterically regulated by synthetic ligands.

CRISPR-Cas12a is a programmable endonuclease used for genetic engineering. Here, the authors use real-time single-molecule measurements to show that Cas12a unwinds the target DNA site in dynamic and reversible steps to test for matches with its guide RNA molecule.

DBS entrains 1:2 gamma activity in the majority of PD patients (15/19), linked to increased movement speed but not necessarily dyskinesia. Finely tuned gamma is more often related to dyskinesia (5/8 patients). DBS-induced entrainment may optimize closed-loop DBS.

Risk factors modification is crucial for diabetes care. Here, the authors show the relationships of combined modifiable risk factors with common complications of type 2 diabetes and provide further insights into the mediating role of plasma proteomics.

For decades, research on Alzheimer’s disease and dementia has lacked a unified framework. This Perspective explores the convergence of key amyloid protein oligomerization processes that drive neurodegeneration and cerebrovascular damage, aiming to advance effective diagnosis and treatment of amyloid diseases.

This study provides a framework for mass spectrometry imaging experiments across biological replicates through machine learning-assisted processing of spatial lipidomics data from mouse lungs following allergen and ozone exposure.

Bilateral vestibular schwannomas (VS) are the main feature of NF2-related schwannomatosis, but the immunological landscape of VS is poorly understood. By performing imaging mass cytometry, the authors assess the cellular heterogeneity in VS tumours and reveal niche-dependent modes of T-cell regulation in these neoplasms.

This paper develops a CH₄ emission database for China’s oil and gas systems from 1990 to 2022. It reveals that national emissions surged from 0.5 Tg to 4.0 Tg, mainly due to increased natural gas demand during the energy transition.

Urban populations ebb and flow as the pulse of human mobility reshapes the cityscape. This paper shows a spatiotemporal scaling laws revealing hidden patterns in these dynamic shifts, linking them to the urban fabric’s structure, density, and functionality.

This paper characterizes the health impacts in the post-flood year in the United States. The researchers find elevated death risk from floods, primarily due to respiratory diseases, external causes, and specific circulatory diseases.

Heat pumps are essential for sustainable heating, but their performance varies widely. Here, authors analyze data from 1023 systems, revealing that 17% of air-source and 2% of ground-source heat pumps operate below efficiency standards. Additionally, 11% are improperly sized, highlighting the need for optimization.

Gel fouling is a major rate-limiting factor for forward osmosis (FO) dewatering of waste activated sludge (WAS). Here, authors propose a novel FO system, assisted by in situ ultraviolet /electrooxidation (UV/E-Cl) driven by dynamic reverse chloride ion (Cl − ), for simultaneous WAS conditioning and dewatering.