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Combining quantum effects with conductivity modulation in complex oxides requires mutually exclusive criteria, making applications difficult. Using tip-induced electrical generation of anti-Frenkel defects, conducting features in Er(Mn,Ti)O₃ are written with nanoscale precision while keeping structural integrity.

The optical response of inorganic two-dimensional semiconductors is dominated by Wannier-Mott excitons, but molecular systems can host localised Frenkel excitons. Here, the authors report strong optical response in a class of monolayer molecular J-aggregates due to the coherent Coulomb interaction between localised Frenkel excitons.

Controlling nanoscale colloidal crystallization is not straightforward. Such control is now achieved by leveraging a metastable liquid phase of charged nanocrystals.

Using a three-pronged approach — spanning field-driven negative capacitance stabilization to increase intrinsic energy storage, antiferroelectric superlattice engineering to increase total energy storage, and conformal three-dimensional deposition to increase areal energy storage density — very high electrostatic energy storage density and power density are reported in HfO₂–ZrO₂-based thin film microcapacitors integrated into silicon.

The performance of energy materials is affected by structural defects, as well as physicochemical heterogeneity over different length scales. Here the authors map nanoscale correlations between morphological and functional heterogeneity, quantifying the trap states limiting electronic transport in bismuth vanadate thin films.

The magneto-optical (MO) effects probe the electronic and magnetic properties of a material, particularly useful for 2D magnets. Here, the authors show that the large optical and MO responses in ferromagnetic monolayer CrI₃ arise from strongly bound excitons, extending over several atoms.

The development of future computation devices will be aided by a better understanding of the physics underlying material behaviors. Using thermoreflectance and spatially resolved X-ray microscopy, Kumar et al. elucidate the origin of two types of negative differential resistance in NbO₂ memristors.

A de novo-designed protein that precisely assembles a chlorophyll dimer has been developed. The design matches the conformation of the native ‘special pair’ of chlorophylls that functions as the primary electron donor in natural photosynthetic reaction centers. In the designed protein, excitonically coupled chlorophylls participate in energy transfer. The proteins were also redesigned to assemble into 24-chlorophyll nanocages.

Developing heat-resistant dielectric polymers for electrification is challenging due to the inverse relationship between thermal stability and electrical insulation. Using a machine learning-driven approach, the researchers identify and validate high-performance polymers that demonstrate promising thermal resilience and energy density for high-temperature applications.

Analyses of 2,658 whole genomes across 38 types of cancer identify the contribution of non-coding point mutations and structural variants to driving cancer.

Perovskite solar cells have stability issues that prevent their widespread adoption as a photovoltaic technology. This Review explores how natural biomaterial structures have evolved to solve similar problems at the chemical, microstructural and macroscopic levels, and how these natural solutions can be applied to perovskite solar cells.

In this study the authors consider the structural variants (SVs) present within cancer cases of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium. They report hundreds of genes, including known cancer-associated genes for which the nearby presence of a SV breakpoint is associated with altered expression.

The phenomenon of many-body localization gives rise to entirely new phases of quantum matter when it is driven away from equilibrium. A numerical study now shows that one of these phases—the discrete time crystal—can also occur in a classical spin chain.

Analysis of cancer genome sequencing data has enabled the discovery of driver mutations. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium the authors present DriverPower, a software package that identifies coding and non-coding driver mutations within cancer whole genomes via consideration of mutational burden and functional impact evidence.

Multi-omics datasets pose major challenges to data interpretation and hypothesis generation owing to their high-dimensional molecular profiles. Here, the authors develop ActivePathways method, which uses data fusion techniques for integrative pathway analysis of multi-omics data and candidate gene discovery.

Little is known about diffusion along metal/ceramic interfaces even though it controls the physical behavior and lifetimes of many devices (including batteries, microelectronics, and jet engines). Here, the authors show that diffusion along a nickel/sapphire interface is abnormally fast due to nickel vacancies and generalise their findings to a wide-range of metal/ceramic systems.

Understanding deregulation of biological pathways in cancer can provide insight into disease etiology and potential therapies. Here, as part of the PanCancer Analysis of Whole Genomes (PCAWG) consortium, the authors present pathway and network analysis of 2583 whole cancer genomes from 27 tumour types.

The flagship paper of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium describes the generation of the integrative analyses of 2,658 cancer whole genomes and their matching normal tissues across 38 tumour types, the structures for international data sharing and standardized analyses, and the main scientific findings from across the consortium studies.

Integrative analyses of transcriptome and whole-genome sequencing data for 1,188 tumours across 27 types of cancer are used to provide a comprehensive catalogue of RNA-level alterations in cancer.

A pan-cancer genomic analysis reports the effects of structural variations on chromatin domains (TADs). Most TAD disruptions do not result in appreciable changes in expression of nearby genes.

An analysis of 2,954 genomes from 38 cancer subtypes identified 19,166 retrotransposition events in 35% of samples. Aberrant LINE-1 retrotranspositions can lead to the deletion of tumor-suppressor genes as well as the amplification of oncogenes.

In somatic cells the mechanisms maintaining the chromosome ends are normally inactivated; however, cancer cells can re-activate these pathways to support continuous growth. Here, the authors characterize the telomeric landscapes across tumour types and identify genomic alterations associated with different telomere maintenance mechanisms.

Whole-genome sequencing data from more than 2,500 cancers of 38 tumour types reveal 16 signatures that can be used to classify somatic structural variants, highlighting the diversity of genomic rearrangements in cancer.

The phase behavior of grain boundaries can influence the interfacial properties. Here the authors demonstrate nanoscale patterning of a grain boundary by two alternating phases in Cu that exhibit a congruent, diffusionless transition between the two phases.

The characterization of 4,645 whole-genome and 19,184 exome sequences, covering most types of cancer, identifies 81 single-base substitution, doublet-base substitution and small-insertion-and-deletion mutational signatures, providing a systematic overview of the mutational processes that contribute to cancer development.

With the generation of large pan-cancer whole-exome and whole-genome sequencing projects, a question remains about how comparable these datasets are. Here, using The Cancer Genome Atlas samples analysed as part of the Pan-Cancer Analysis of Whole Genomes project, the authors explore the concordance of mutations called by whole exome sequencing and whole genome sequencing techniques.

The authors present SVclone, a computational method for inferring the cancer cell fraction of structural variants from whole-genome sequencing data.

Whole-genome sequencing data for 2,778 cancer samples from 2,658 unique donors across 38 cancer types is used to reconstruct the evolutionary history of cancer, revealing that driver mutations can precede diagnosis by several years to decades.

There’s an emerging body of evidence to show how biological sex impacts cancer incidence, treatment and underlying biology. Here, using a large pan-cancer dataset, the authors further highlight how sex differences shape the cancer genome.

Viral pathogen load in cancer genomes is estimated through analysis of sequencing data from 2,656 tumors across 35 cancer types using multiple pathogen-detection pipelines, identifying viruses in 382 genomic and 68 transcriptome datasets.

Some cancer patients first present with metastases where the location of the primary is unidentified; these are difficult to treat. In this study, using machine learning, the authors develop a method to determine the tissue of origin of a cancer based on whole sequencing data.

Many tumours exhibit hypoxia (low oxygen) and hypoxic tumours often respond poorly to therapy. Here, the authors quantify hypoxia in 1188 tumours from 27 cancer types, showing elevated hypoxia links to increased mutational load, directing evolutionary trajectories.

Cancers evolve as they progress under differing selective pressures. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, the authors present the method TrackSig the estimates evolutionary trajectories of somatic mutational processes from single bulk tumour data.

This study combines computational chemistry and machine learning to provide insight on whether diamonds can form inside ice giants. This can help explain the dichotomy of Uranus and Neptune.

Interplay between structure and composition of grain boundaries remains elusive, particularly at the atomic level. Here, the authors discover the atomic motifs, which is the smallest structural unit, control the most important chemical properties of grain boundaries.

Strain engineering is an essential tool for modifying local electronic properties in silicon-based electronics. Here, Ahn et al. demonstrate control of biaxial strain in two-dimensional materials based on the growth substrate, enabling more complex low-dimensional electronics.

Liquid phase transmission electron microscopy reveals the growth pathway of 2D cobalt oxide and cobalt nickel oxide, in which 3D nanoparticles are formed first and then spread and transform into 2D nanosheets.

Analysis of whole-genome sequencing data across 2,658 tumors spanning 38 cancer types shows that chromothripsis is pervasive, with a frequency of more than 50% in several cancer types, contributing to oncogene amplification, gene inactivation and cancer genome evolution.

Recently, coherent quantum beating has been observed in photosynthetic complexes. Theoretical work now shows how quantum correlations in biological systems can be quantified, and establishes that quantum entanglement exists in light-harvesting complexes, even at physiological temperatures.

Singly dispersed bimetallic catalysts should exhibit different behaviour and activity to bulk bimetallic species. Here, the authors fabricate isolated Rh₁Co₃bimetallic catalytic sites and demonstrate their high activity and selectivity for nitric oxide reduction.