Montanuniversität Leoben

Unraveling the Mechanism for Phonon Based Heat Transport in Metal‐Organic Frameworks

ABSTRACT Heat transport is a crucial process for many applications of metal‐organic frameworks (MOFs), including gas adsorption, catalysis, and bio‐encapsulation. A prerequisite for designing MOFs with optimal thermal conductivities is developing a profound understanding of the u...

data file - Thickness and topography of two-dimensional materials: atomic force microscopy measurements and polynomial step-function fitting

Raw data for the manuscript entitled:"Thickness and topography of two-dimensionalmaterials: atomic force microscopy measurements andpolynomial step-function fitting"By: Borislav Vasic, Dragana Tizic Matkovic, Muhammad Zubair Khan, Aleksandar Matkovic, Goran IsicJournal: Applied S...

Structural modifications of grain boundaries due to vacancy segregation

Vacancies show strong tendencies to segregate towards grain boundaries (GB), where they interact with them. In general, this process changes the GB structure and reduces the vacancy concentration in the bulk which is relevant for non-equilibrium vacancies found e.g. in highly def...

Evaluation of Zero-Shot Annotation Models for Waste Classification Training Data in Textiles, Scrap, and Packaging Waste

Generating accurately annotated training data remains a major bottleneck for deploying computer-vision-based sorting systems in heterogeneous waste streams. This work evaluates whether general-purpose zero-shot object detectors can reduce annotation effort for lightweight packagi...

A Chromium‐Free Fe‐Added MgO–SiC–C Refractory With Superior Dynamic Matte Slag Corrosion Resistance

ABSTRACT To develop a chromium‐free alternative to MgO–Cr 2 O 3 refractories for matte smelting furnaces, this study investigated three novel MgO–SiC–C refractories (with Fe, Si 3 N 4 , or Si 3 N 4 –Fe additions) via induction furnace tests simulating actual smelting. Results sho...

Automatic detection of short surface cracks in induction thermography using Deep Learning models trained with experimental data, synthetic images and FEM simulation results

The impact of Deep Learning (DL) models in multiple areas of science and technology continues to grow at an impressive rate. Induction thermography inspection systems could greatly benefit from DL as it would allow for fully automated defect detection based on the thermal images....

Mapping and balancing tensions, conflicts and trade-offs in the European extractive sector in its sustainability transition: Insights from a multi-actor Delphi study

The European extractive sector operates within a dense socio-technical and regulatory environment where rising mineral demand, sustainability expectations and geopolitical pressures intersect. These dynamics generate persistent tensions, conflicts and trade-offs that limit the se...

Vacancy diffusion in transition metal diborides using diverse machine-learning potentials

Machine-learning interatomic potential (MLIP)-based molecular dynamics enables efficient exploration of mass-transport mechanisms in complex materials together with quantitative determination of diffusion coefficients at finite temperatures. Using an identical training dataset, w...

Inducing Room Temperature Ferromagnetism in Phyllosilicates via Iron Implantation

Abstract The modulation of intrinsic two-dimensional (2D) ferromagnetism has attracted significant attention due to its potential applications in spintronics and magnetic field sensing. However, the limited availability of intrinsically magnetic 2D materials has driven the explor...

Selective Lithium Pre-Leaching from Pyrolyzed Industrial Lithium-Ion Battery Black Masses Using Dilute Organic and Inorganic Acids

Selective lithium pre-leaching can separate an accessible lithium fraction before complete black-mass dissolution while limiting the co-dissolution of accompanying elements. However, comparative evidence across compositionally different, industrially pyrolyzed black masses under...

Biomass Gas-Thermal Carbonization Process for Producing Blast Furnace Injection Fuel: Energy Consumption–Economy–Carbon Emission Model and Parameter Influence Research

Abstract To quantify the production burden of biochar intended for blast furnace injection, an energy–economy–carbon emission model was developed for biomass gas-thermal carbonization (GTC), coupling steam generation, gas-thermal carbonization, waste-heat predrying, and tail-gas...

Anomalous hardening of CrMnFeCoNi high-entropy alloy deformed by high-pressure torsion

Abstract The CrMnFeCoNi high-entropy alloy (HEA) was severely deformed by high-pressure torsion (HPT) at temperatures ranging from 77 K to 673 K. Phase stability, microstructure and texture were investigated by diffraction of synchrotron radiation. At low HPT temperatures, the lo...

Screening of Austrian geological carbon and hydrogen storage options. Part I: Hydrocarbon fields

The carbon capture and storage (CCS) potential in Austria remains to be elucidated as the country plans to lift its CO 2 storage ban and permit geologic storage for hard-to-abate emitters. This study presents a static screening and assessment of Austria’s CCS and underground hydr...

Convergence and combinatorics of the Reverse algorithm

Abstract We study the Reverse algorithm, a multidimensional continued fraction algorithm, which is not unimodular. We show that the Reverse algorithm is ergodic and, by proving that its second Lyapunov exponent is negative, that it is a.e. exponentially convergent. In addition to...

Early development of anoxia prior to the main euxinic phase of the Jenkyns Event on the margin of the Western Tethys (Sachrang Basin, Eastern Alps)

ABSTRACT Although the global expansion of oxygen‐depleted marine environments during the Early Toarcian Jenkyns Event (or Toarcian Oceanic Anoxic Event) is primarily inferred from successions in the NW European epicontinental basins, the timing of the expansion of anoxia in Tethy...