Pyrazoles are heterocycles commonly found as key substructures in agrochemicals and medicinally active compounds alike.1,2 Despite their pervasiveness, established methods fall notably short in delivering complex pyrazoles selectively due to issues of differentiation during either assembly or N-functionalization.3 This is a direct consequence of a dominant synthetic strategy that attempts to control

The fractional quantum anomalous Hall (FQAH) effect was recently discovered in twisted MoTe2 bilayers (tMoTe2)1–4. Experiments to date have revealed Chern insulators from hole doping at ν = -1, -2/3, -3/5, and -4/7 (per moiré unit cell) 1–6. In parallel, theories predict that, between v = -1 and -3, there exist exotic quantum phases 7–15, such as the coveted fractional topological insulators (FTI)

Deep-sea polymetallic nodule mining is currently in the exploration phase with some groups proposing a move towards extraction within years1. Management of this industry requires evidence of the long-term effects on deep-sea ecosystems2, but the ability of seafloor ecosystems to recover from impacts over decadal scales is poorly understood3. Here we show that, four decades after a test mining experiment

With the near eradication of poliovirus due to global vaccination campaigns, attention has shifted to other enteroviruses that can cause polio-like paralysis syndrome (now termed acute flaccid myelitis (AFM))1–3. In particular, enterovirus D68 (EV-D68) is believed to be the main driver of epidemic outbreaks of AFM in recent years4, yet not much is known about EV-D68 host interactions. EV-D68 is a respiratory

The efficient and modular diversification of molecular scaffolds, particularly for the synthesis of diverse molecular libraries, remains a significant challenge in drug optimization campaigns.1–3 The late-stage introduction of alkyl fragments is especially desirable due to the high sp³-character and structural versatility of these motifs.4 Given their prevalence in molecular frameworks, C(sp²)−H bonds

The discovery of superconductivity in the Ba-La-Cu-O system (the cuprate) in the 30 K range marked a significant breakthrough, which inspired extensive explorations of oxide based layered superconductors to identify electron pairing with higher critical temperatures (Tc)1. Despite recent observations of superconductivity in nickel-oxide-based compounds (the nickelates), evidence of Cooper pairing above

Weather prediction is critical for a range of human activities including transportation, agriculture and industry, as well as the safety of the general public. Machine learning is transforming numerical weather prediction (NWP) by replacing the numerical solver with neural networks, improving the speed and accuracy of the forecasting component of the prediction pipeline 1,2,3,4,5,6. However, current