Chemical Science

@chemicalscience.rsc.org

3300 Followers 5191 Following

Flagship journal for @rsc.org. Open access, all topics in chemistry. chemicalscience-rsc@rsc.org 🌐 Website: rsc.li/chemscience

Promotional graphic for the Royal Society of Chemistry’s Chemical Science Symposium. The design features a futuristic digital laboratory scene with a glowing artificial-intelligence brain, molecular structures, laboratory icons, test tubes containing coloured liquids, and circuit-board graphics in blue tones. Text reads: “Chemical Science Symposium: Digital chemistry in the age of AI and machine learning.” An invited speaker section includes a headshot and the text: “Timothy Noël, University of Amsterdam, The Netherlands.” The Royal Society of Chemistry logo appears in the top-right corner, and “Find out more” is displayed at the bottom.
Illustrated schematic of a battery-analysis technique. A battery is shown with a cutaway view revealing electrolyte molecules inside. On the left, a compass-like symbol and the label “ZULF-NMR spectroscopy” represent ultralow-field nuclear magnetic resonance. Signals from the battery travel to an atomic magnetometer on the right. An inset spectrum compares experimental data (black line) with contributions from electrolyte solvent (blue) and electrolyte solute (orange), demonstrating that both components can be detected and quantified through the battery enclosure.
Promotional graphic for the Royal Society of Chemistry’s Chemical Science Symposium. The image features a futuristic blue-toned laboratory and artificial intelligence theme, including a glowing digital brain, molecular models, laboratory glassware, and circuit-board imagery. Text reads: “Chemical Science Symposium: Digital chemistry in the age of AI and machine learning.” An invited speaker section includes a headshot and the text: “Taylor Sparks, University of Utah, United States.” The Royal Society of Chemistry logo appears in the top-right corner, with “Find out more” displayed at the bottom.
Schematic workflow illustrating chemically informed active learning for designing self-healing polyurethane materials. At the centre, a brain icon labelled “Chemically-Informed Active Learning” connects four stages in a circular loop: modelling, optimization, synthesis, and testing. Modelling uses minimal laboratory data to learn composition–property relationships. Optimization explores formulation space to identify promising candidates. Selected formulations are synthesized and represented by chemical structures and laboratory glassware. Testing evaluates the balance between mechanical performance and self-healing behaviour, shown with tensile-test specimen shapes and a balance scale. Results are fed back into the active-learning cycle to iteratively improve material design while reducing experimental effort.
Schematic illustration comparing electronic band structures and crystal facets in a semiconductor photocatalyst. The top row shows six band diagrams with conduction band (CB) and valence band (VB) levels in blue or yellow gradients. Electrons (e⁻) and holes (h⁺) are depicted separating across the bands, with oxygen (O₂, red diatomic molecule) and water (H₂O, red-and-white molecule) positioned between them to indicate surface redox reactions. Arrows show charge-carrier migration. The bottom row presents corresponding crystal morphologies transitioning from a blue cube labeled “{100}” through truncated polyhedral intermediate shapes to a yellow octahedron labeled “{111}”. Central polyhedral particles illustrate progressive facet evolution and spatial separation of electrons and holes. Colors distinguish different crystal facets and associated electronic properties.
Graphical abstract illustrating a strategy for improving all-solid-state batteries (ASSBs) through multi-anion and cation co-doping of an amorphous zirconium-based halide electrolyte. Oxygen (O²⁻), fluoride (F⁻), and aluminium (Al³⁺) dopants are shown entering a disordered electrolyte structure composed of coloured spheres. Arrows indicate two key benefits: enhanced Li⁺ transport and improved interfacial stability. On the right, a schematic ASSB cell with a lithium metal anode, solid electrolyte, and NCM cathode is shown, highlighting improved battery performance resulting from the co-doped electrolyte.
Comparison of voltage–capacity profiles for a lithium-rich oxide cathode with and without an FePO₄ additive. The left panel shows a standalone lithium-rich oxide electrode, where only 80% of lithium is recovered during cycling, highlighted by a red-shaded irreversible lithium-loss region and a red sad-face icon. The right panel shows lithium-rich oxide paired with FePO₄, which acts as a lithium reservoir (FePO₄ → LiFePO₄), increasing lithium reversibility to 97% and reducing lithium loss. Green shading indicates improved lithium recovery, and a smiley-face icon emphasizes the enhanced electrochemical performance. A yellow “Pick of the Week” badge is overlaid at the bottom centre.
Graphical abstract for "Increasing connectivity through selfcomplementarity enables permanent porosity in a halogen-bonded organic framework” by Michael McGuirk et al.