Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain
the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in
Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles
and JavaScript.
Top 25 Chemistry and Materials Science Articles of 2024
This collection highlights the most downloaded* Nature Communications papers in chemistry and materials science published in 2024. Featuring authors from around the world, these papers highlight valuable research from an international community.
The translation of perovskite solar cells to large-area devices fabricated by industry-relevant manufacturing methods remains a critical challenge. Here, authors report solar modules with serially-interconnected cells produced entirely by industrial roll-to-roll printing under ambient conditions.
Proteins often function by changing conformations upon ligand binding. Efficient structural modelling of these interactions, crucial for drug discovery, is limited: here the authors address this with DynamicBind, a diffusion-based deep generative model.
A new class of PFAS (bis-perfluoroalkyl sulfonamides) used in lithium-ion batteries have been released to the environment internationally. This places lithium-ion batteries at the nexus of CO2 reduction and release of recalcitrant aquatic contaminants.
Reliable lithium-ion battery health assessment is vital for safety. Here, authors present a physics-informed neural network for accurate and stable state-of-health estimation, overcoming challenges of varied battery types and usage conditions.
Plastic pollution severely threatens the resilience of nature. Here, the authors utilize the spore-forming, polymer-degrading bacteria, Bacillus subtilis, as a living filler to develop biocomposite thermoplastic polyurethane with improved mechanical properties and biodegradation.
Natural materials can combine strength and toughness, but achieving similar well-ordered structures for synthetic materials is challenging. Here, the authors report hydrogels prepared by flow-induced alignment of nanofibrils, with anisotropic structure and good mechanical properties.
Polypharmacology drugs are compounds designed to inhibit multiple protein targets. Here, authors use recent advances in AI to rapidly generate polypharmacology compounds against any pair of protein targets, experimentally validating numerous compounds targeting MEK1 and mTOR.
Electric vehicle battery supply chains are currently vulnerable to supply disruptions in China, but research shows that the cumulative effect of multiple supply chain steps creates additional vulnerabilities across multiple critical battery minerals.
The authors in this work introduce RosettaVS, an AI-accelerated open-source drug discovery platform. They apply this tool to multi-billion compound libraries, where it was able to identify compounds that bind important targets KLHDC2 and NaV1.7.
The use of data-driven generative models for drug design is challenging due to the scarcity of data. Here, the authors introduce a “zero-shot" generative deep model to enable the generation of molecules by both structure- and ligand-based drug design and apply it to design PPARγ agonists with desired properties.
Studies on fold-switching proteins using AlphaFold reveal that the tool associates sequences of some proteins with structures it memorized during training, explaining its failure to predict correct structures of some recently characterized proteins.
Transparent roofs offer a solution for harnessing natural light in sustainable buildings. Here, authors demonstrate a polymer-based metamaterial with micro-pyramid surface structures that diffuses sunlight while offering passive cooling and self-cleaning properties.
Structure-based generative chemistry is crucial in computer-aided drug discovery. Here, authors propose PMDM, a conditional generative model for 3D molecule generation tailored to specific targets. Extensive experiments demonstrate that PMDM can effectively generate rational bioactive molecules
Low ion conductivity, large interfacial resistance, and dendrite growth hinder the practical use of solid-state batteries. Here, the authors introduce a self-healing poly(ether-urethane)-based solid-state polymer electrolyte to address these issues, resulting in high performance solid-state lithium-sulfur batteries.
Targeted protein degradation (TPD) is a key modality for drug discovery. Here the authors present the discovery and analysis of reversible DCAF1-PROTACs, which show efficacy in cellular environments resistant to VHL-PROTACs or with acquired resistance to CRBN-PROTACs.
Gridization is useful for creating multifunctional organic semiconductors. Here, the authors report a C-H activatived gridization to synthesize UV-emitting molecular nanohydrocarbon, setting high external quantum efficiency for hydrocarbon-based UV-OLEDs.
The authors present a scalable method for implementing a thermo-responsive safety reinforced layer (SRL) in batteries, which enables immediate shutdown during internal short circuits and reduces the risk of overheating and explosions.
Applying high stack pressure is primarily done to address the mechanical failure issue of solid-state batteries. Here, the authors propose a mechanical optimization strategy involving elastic electrolyte to realize solid-state batteries operating without external pressurizing.
Commercial high-strength Al alloys often suffer from cracking during additive manufacturing. Here, the authors present an additively manufactured, a strong and plastically deformable Al alloy with heterogeneous nanoscale intermetallics.
The advancement of high entropy alloy development is both rapid and challenging. Here, the authors discover an unusual Sabatier principle operating on the high entropy alloy surface, which leads to a notable enhancement in catalytic activity for hydrogen evolution reactions.
Polyamides (PAs) or nylons are types of plastics with wide applications, but due to their accumulation in the environment, strategies for their deconstruction are of interest. Here, the authors screen 40 potential nylon-hydrolyzing enzymes (nylonases) using a mass spectrometry-based approach and identify a thermostabilized N-terminal nucleophile hydrolase as the most promising for further development, as well as crucial targets for progressing PA6 enzymatic depolymerization.
Hydrogel fibres have potential in a range of applications such as flexible electronics, but achieving the desired mechanical properties can be challenging. Here, the authors report spider silk-inspired hydrogel fibres with tuneable mechanical properties suitable for flexible electronics.
An efficient and cost-effective Mg/Li separation process is necessary for lithium extraction from Salt Lake brines. Inspired by the mangroves, authors developed a direct lithium extraction method from Salt Lake brines through the synergistic effect of an ion separation membrane and a solar evaporator.
Exploring an active and cost-effective catalyst for alkaline hydrogen evolution reaction remains elusive to date. Here, the authors report the platinum single-atoms doped ruthenium/ruthenium oxides showing distinctly enhanced catalytic performance.
Carbon dioxide hydrogenation is an important industrial reaction. Here, the authors design a CeCuZn catalyst through a metal organic framework template for CO2 hydrogenation to methanol with excellent methanol yield and stability.