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Paper des Monats
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Comprehensive Structure–Property Mapping of Tuned Mechanical Flexibility in Organic Cocrystals
(2026)
Mechanically flexible crystals offer unique opportunities for adaptive materials, yet predictive control over their responses remains a major challenge. Here, we present a chemically unified series of 4-nitrophenol-based cocrystals, cocrystallized with bipyridyl linkers of varied geometries, to systematically map structure–property relationships. Subtle variations in interplanar angles and intermolecular interactions, such as π–π stacking and hydrogen bonding, enable tuning of mechanical responses ranging from brittle fracture to different extents of elastic bending and plastic bending or twistability. This design differs from previous strategies that relied primarily on van der Waals interactions or halogen bonding to impart mechanical compliance to organic crystals. Structural analysis, supported by energy framework calculations, explains the divergent mechanical behaviors. Notably, the studied cocrystal series spans all four canonical structure–property quadrants, manifested through mechanical flexibility, photoluminescence activity, or both. This systematic and comparative study highlights the delicate interplay between molecular packing and supramolecular interactions, providing structure–property correlations that inform emerging design principles for multifunctional crystalline materials for targeted applications.
Liquid assisted grinding (LAG) is a commonly used mechanochemical procedure, especially for polymorphic conversions. However, it is not understood what effect liquid additives actually play in driving mechanochemical polymorphic conversions, precluding our ability to control solid form transformations under mechanochemical conditions. We here present a time-resolved in situ (TRIS) synchrotron powder Xray diffraction (PXRD) monitoring strategy that can track, with few nm resolution, the evolution of crystalline size under liquid assisted ball milling conditions. We apply this method to investigate the influence of liquid additives on the polymorphic conversion of the 1:1 co-crystal of theophylline and benzamide, with particular focus on the role that crystallite size plays in driving ball milling induced polymorphic transformations. We find that the crystallite sizes achieved by ball milling are highly sensitive to the amount of liquid added to the reaction mixture. Liquid additives generally lead to larger crystallite sizes as compared with neat grinding protocol, with our findings indicating that crystallite size reduction is not the main factor that causes polymorph conversion under liquid assisted grinding conditions. The data presented clearly indicates the presence of an induction period before phase transformation begins with a minimum value in the crystallite size of the starting polymorph indicating the end of that induction period.
We present a general framework for performing local vibrational mode analysis of vibrations in crystalline materials at arbitrary wavevectors throughout the Brillouin zone. The approach enables phonon dispersion relations to be interpreted in terms of chemically meaningful interatomic interactions and structural motifs, providing direct insight into the microscopic origins of the phonon behavior in periodic systems. We demonstrate the methodology for representative one-, two-, and three-dimensional materials including polymeric chains, graphene, and prototypical rock-salt and perovskite crystals. Across these systems, the analysis reveals how specific bonding patterns and structural features govern phonon dispersion relations. This framework provides a quantitative tool for the chemically intuitive analysis of phonon spectra and offers a pathway toward the rational design of phonon-dependent properties in crystalline materials.
Chemically complex materials (CCMats) including high-entropy alloys, oxides, and related multi-principal element systems offer a paradigm shift in materials design by leveraging chemical diversity to simultaneously optimize functional, structural, and sustainability criteria. The vastness of the compositional and structural space in CCMats propels the field into an expanding exploratory state. To reconcile functional and structural performance across this immense parameter space remains an open challenge. This Perspective evaluates the opportunities and challenges associated with harnessing chemical complexity across a broad spectrum of applications, such as hydrogen storage, ionic conductors, catalysis, magnetics, dielectrics, semiconductors, optical materials, and multifunctional structural systems. It is delineated how three central design strategies: targeted substitution (SUB), defect engineering (DEF), and diversity management (DIV) enable the reconciliation of high functional performance with long-term structural stability and environmental responsibility.
Advances in computational thermodynamics, microstructure simulations, machine learning, and multimodal characterization are accelerating the exploration and optimization of CCMats, while robust data infrastructures and automated synthesis workflows are emerging as essential tools for navigating their complex compositional space. By fostering cross-disciplinary knowledge transfer and embracing data-driven design, CCMats are poised to deliver next-generation materials solutions that address urgent technological, energy, and
environmental demands.
3D printing is increasingly utilized in dentistry. Compared to traditional manufacturing methods, 3D printing provides advantages such as faster production times and the ability to create complex structures. Although biocompatible materials are available, many are only suitable for temporary applications. This study examines the impact of nitrogen-aided post-processing on the mechanical properties and cytotoxicity of 3D-printed denture bases, with the hypothesis that this post-processing will enhance material properties and decrease cytotoxicity. Specimens were fabricated from V-print dentbase (Voco GmbH, Cuxhaven, Germany) and post-processed either in nitrogen or air. The specimens were categorized into aged and non-aged groups. For comparison, specimens made from milled material were utilized. Vickers hardness, flexural strength, polishability, cytotoxicity, and degree of conversion were then assessed for all groups. The data were analyzed using a one-way ANOVA and Tukey HSD test for multiple comparisons, with a significance threshold of p < 0.05. Post-curing with nitrogen improved the degree of conversion, surface hardness, and biocompatibility of 3D-printed dental materials, confirming reduced cytotoxicity without impairing mechanical properties. Nitrogen increased polymerization and decreased harmful monomers, making it ideal for clinical applications in contact with the oral mucosa. Optimizing post-processing steps, such as curing in nitrogen, enhances biocompatibility while maintaining strength and hardness, ensuring better patient care in dental applications.
Three N-(pyridine-2-ylcarbamothioyl)benzamide derivatives were synthesized by the reaction of potassium thiocyanate, benzoyl chloride, and 2-amino pyridine derivatives in one pot. The obtained derivatives were oxidized using copper(II) chloride. During the oxidation, two hydrogen atoms were removed, cyclization of the derivatives occurred, and finally, three new N-(2H-[1,2,4]thiadiazolo[2,3-a]pyridine-2-ylidene)benzamide derivatives were produced. Coordination of these three new derivative ligands to the copper(II) ion resulted in the formation of three new complexes: dichlorobis(N-(2H-[1,2,4]thiadiazolo[2,3-a]pyridine-2-ylidene)benzamide)copper(II), dichlorobis(N-(7-methyl-2H-[1,2,4]thiadiazolo[2,3-a]pyridine-2ylidene)benzamide)copper(II), and dichlorobis(N-(5-methyl-2H-[1,2,4]thiadiazolo[2,3-a]pyridine-2-ylidene)benzamide)copper(II). All the synthesized products were characterized by IR, 1H NMR, and 13C NMR spectroscopies. Crystal structures of the obtained N-(pyridine-2-ylcarbamothioyl)benzamide derivatives, N-(2H-[1,2,4]thiadiazolo[2,3-a]pyridine-2-ylidene)benzamide derivatives, and complexes were determined using X-ray single-crystal diffraction; the positions of atoms, bond lengths, bond angles, and dihedral angles were also determined. In all complexes, the coordination of two large monodentate ligands and two chloride anions to the copper(II) ion resulted in the formation of a stable planar geometry around the central ion. Three N-(pyridine-2-ylcarbamothioyl)benzamide derivatives, three N-(2H-[1,2,4]thiadiazolo[2,3-a]pyridine-2-ylidene)benzamide derivatives, and three complexes were evaluated for their cytotoxicity against five human cancer cell lines (breast cancer cell line MDA-MB-231, neuroblastoma cell line SK-N-MC, prostate adenocarcinoma cell line LNCap, nasopharyngeal epidermoid carcinoma cell line KB, and liver cancer cell line HEPG-2) using an in vitro analysis. The N-(pyridine-2-ylcarbamothioyl)benzamide derivatives showed no cytotoxic activity, whereas the N-(2H-[1,2,4]thiadiazolo[2,3-a]pyridine-2-ylidene)benzamide derivatives and their complexes showed significant cytotoxicity, especially against MDA-MB-231 and LNCap cell lines. The complexes demonstrated smaller IC50 values than N-(2H-[1,2,4]thiadiazolo[2,3-a]pyridine-2-ylidene)benzamide derivatives.
In solid materials, the development of hydrogen bonding (H-bonding) networks within pores is crucial for efficient proton conductance. In this study, a chemically stable carboxylic acid-functionalized, quinoline-linked 2D microporous covalent organic framework (COF) (Qy-COOH) was synthesized using the Doebner multicomponent reaction (MCR) and compared to a similar framework lacking the –COOH functionality (Qy-H), prepared via an MC Domino reaction. The proton conductivity of the –COOH-functionalized MCR-COF was significantly enhanced, reaching 10−2 S cm−1, attributed to strong H-bonding interactions between water molecules and the dangling –COOH groups within the COF pores. In contrast, the analogous Qy-H framework exhibited a much lower proton conductivity of 10−5 S cm−1, while an imine-based COF showed only 10−6 S cm−1. This work represents the first demonstration of a general strategy to achieve efficient proton conduction in a class of layered 2D –COOH-functionalized COFs, offering superprotonic conductivity without requiring additives at room temperature. The MCR-COF design approach provides a promising pathway for developing highly stable and high-performance proton-conducting materials.
A method to uniquely identify samples without printed or handwritten labels is an advantage not just for additively manufactured parts. To kickstart industry use cases, it is also important to provide a ready-made implementation kit. Following an open-science and open-source software approach Germanys Federal Institute for Materials Research and Testing (BAM) seeks to promote digital solutions of ongoing research projects. With this software package a novel method based on microstructural features as identifiers – DOI4AM (digital object identifier for additively manufactured parts) – will be explained alongside its implementation as open-source Python software package. The digital object identifier (DOI) links product data clearly and forgery-proof with real components. Its implementation helps to identify and securely authenticate additively manufactured components during its product life cycle by using characteristic microstructure features - just like a fingerprint. To calculate the DOI fingerprint, a few preprocessing steps need to be performed to detect the uniquely distributed microstructure features that occur during the 3D printing process. A go-through guide shows the preprocessing steps that include CT image capturing, feature segmentation, and data distribution with CSV files. While all steps can be followed along in a Jupyter notebook, the software package includes an application for creating and checking of previously created fingerprints, as well, as a containerized API (application programming interface) service for implementation in existing software platforms or workflows. While data visualization is crucial to understanding the methodology and an essential tool to check for data correctness, an implementation in an industry use case needs to be slim and resource efficient. Therefor the software’s API can be used as an independent service. The project's industry partner proofs its first successful implementation in their digital product passport web solution PASS-X.
A critical amount of industrial energy input is lost as waste heat, and this amount peaks just above room temperature. The aim of this work is to develop a technology to convert this low-grade waste heat into electricity through a thermomagnetic generator based on Faraday's law of induction. To this end, water-flowable thermomagnetic elements are developed by the industrial partner to be used as heat exchanger components in the demonstrator. The 3D extrusion and post heat treatment process of the developed fine parts may introduce various defects that have an impact on their heat transfer efficiency, magnetic and mechanical properties.
Here, the non-destructive characterisation technique of X-ray computed tomography (XCT) is used to evaluate the morphology of the developed components and to identify trends that contribute to the improvement of material performance in the demonstrator. In specific, XCT image analysis enables the 3D visualisation of the developed 3D-printed structures. Using DragonFly software, scalar quantities such as volume, total surface area and void fraction are estimated for each sample. More specifically, image segmentation using Otsu’s thresholding method, combined with morphological operations on the reconstructed 3D XCT volume, contributes to the estimation of the mean filament diameter, mean channel width and distribution of internal porosity along the printing direction. In addition, the repeatability and dimensional accuracy of the printing process are evaluated through slice analysis of each 3D-printed block, both along and perpendicular to the water-flow direction.
To date, there are very few technologies available for the conversion of low-temperature waste heat into electricity. Thermomagnetic generators are one approach proposed more than a century ago. Such devices are based on a cyclic change of magnetization with temperature. This switches a magnetic flux and, according to Faraday’s law, induces a voltage. We demonstrated that guiding the magnetic flux with a pretzel-type topology of the magnetic circuit improves the performance of thermomagnetic generators by orders of magnitude [1]. From an ideal material’s perspective, several similarities with magnetocaloric materials [2] can be found, like a sharp first-order like magnetostructural transition, low hysteresis and high thermal diffusivity. This makes some magnetocaloric materials good candidates also for thermomagnetic energy harvesting, like e.g. (MnFe)2P-based and La(Fe,Si)13-based compounds.
Recently, the EU MSCA initial training network Heat4Energy [2] was started with the aim of making three thermomagnetic energy converters for low grade waste heat (<100°C) to electricity with different power output ranges. While the smallest demonstrator operates with thin film materials, the two larger machines use bulk material, for which different processing and shaping routes are explored. In collaboration with the industrial stakeholders of the project, up-scalability and practical application issues of materials processing will be addressed during the project. After an introduction into the technological background and the ITN project, we will present first results on 3D printing and non-destructive imaging of the thermomagnetic parts.