Summary

Inorganic materials encompass a vast array of solids formed from metallic, semimetallic or non-metallic elements bound by ionic, covalent or metallic bonds. Their structures range from dense ceramics and oxides to layered two-dimensional crystals and complex heterostructures, each offering distinct electrical, optical and mechanical properties. Oxide ceramics such as alumina and zirconia deliver exceptional thermal stability and mechanical strength, while chalcogenides and halides underpin semiconductors and optoelectronic devices. Layered materials like transition-metal dichalcogenides and graphitic allotropes support atomically thin electronics and enable quantum confinement. Ionic compounds such as perovskites and phosphates serve as dielectrics, catalysts and solid electrolytes in energy storage and conversion. The tunability of composition, defect chemistry and microstructure allows precise control of bandgaps, carrier mobility, refractive index and surface reactivity. Such versatility has driven applications in photocatalysis, high-performance transistors, photonic integrated circuits, environmental remediation and advanced structural components. As demands grow for more efficient energy, information technologies and sustainable chemical processes, the development and integration of novel inorganic materials remain at the forefront of materials science.

Research from Nature Portfolio

Recent work has revealed a new quasiparticle in atomically thin electronics: an interlayer plasmon polaron in graphene/WS₂ heterostructures. By combining angle-resolved photoemission with controlled doping, researchers observed density-dependent shake-off replicas at the WS₂ conduction band minimum, demonstrating strong coupling between charge carriers and collective plasmon modes. In parallel, the design of a tellurium-based amorphous p-channel semiconductor embedded in a suboxide matrix achieved wafer-scale thin-film transistors with field-effect hole mobilities near 15 cm² V⁻¹ s⁻¹ and on/off ratios exceeding 10⁷, marking a milestone for low-temperature, nonvolatile p-type devices. A third study showed that forming a water–vapour–TiO₂ triphase interface at elevated temperature disrupts the hydrogen-bond network while preserving proton pathways, greatly accelerating photo-driven oxygen evolution by promoting hydroxyl radical formation and O–O coupling under illumination.

Research from all publishers

A machine-learning framework has been introduced to predict band offsets across semiconductor junctions at scale. By training graph neural networks on first-principles benchmarks, researchers achieved average errors below 0.3 eV for conduction and valence band positions, enabling rapid pre-screening of over a trillion candidate interfaces. Complementing this, a numerical study of zinc-blende heterostructures linked local strain-induced potential profiles to electron-transmission coefficients, showing how interface electrostatics govern carrier dynamics across layered semiconductors. In a separate computational investigation, non-adiabatic molecular dynamics on hydrated TiO₂ nanoparticles uncovered ultrafast electron–proton transfer pathways to photogenerated holes, clarifying the roles of electron–hole localisation and hydrogen-bond stabilisation in driving photocatalytic water oxidation.

Inorganic Materials publication trend

The graph below shows the total number of articles in inorganic materials across all publications each year (not limited to Nature Index journals).

Technical terms

van der Waals heterostructure: A stack of atomically thin layers bonded by weak interlayer forces, preserving each layer’s intrinsic properties.

Plasmon polaron: A quasiparticle formed when electrons in a material strongly couple to a collective plasmon oscillation.

p-channel transistor: A field-effect device in which the majority carriers are positive (holes), used for complementary logic circuits.

Graph neural network: A machine-learning architecture that represents compounds as graphs of atoms and bonds to predict materials properties.

Non-adiabatic molecular dynamics: A simulation technique that simultaneously tracks electronic and nuclear motions, capturing photochemical reaction pathways.

Band offset: The energy difference between conduction or valence band edges at an interface, determining carrier confinement and barrier heights.

Oxygen evolution reaction (OER): The photo- or electrochemical process that generates molecular oxygen from water, key to water-splitting technologies.

References

  1. Observation of interlayer plasmon polaron in graphene/WS2 heterostructures. Nature Communications (2024).
  2. Selenium-alloyed tellurium oxide for amorphous p-channel transistors. Nature (2024).
  3. Bubble-water/catalyst triphase interface microenvironment accelerates photocatalytic OER via optimizing semi-hydrophobic OH radical. Nature Communications (2024).
  4. InterMat: accelerating band offset prediction in semiconductor interfaces with DFT and deep learning. Digital Discovery (2024).
  5. A Numeric Approach for Investigating Electron Dynamics in Zinc‐Blende Semiconductor Heterostructures. Advanced Theory and Simulations (2023).
  6. Mechanism of photocatalytic water oxidation on small TiO 2 nanoparticles. Chemical Science (2017).

About these summaries

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