Results 81 to 90 of about 64,245 (240)
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Structural Comparison of Raw Sodium Bicarbonate and Hydrated Lime for Dry SO2 Removal
In dry flue gas treatment systems, gas–solid interactions are modulated by the reagent molecular composition and physical attributes. In the present investigation, sodium- and calcium-based sorbents were screened for structural and compositional ...
Robert Makomere +5 more
doaj +1 more source
This article provides an overview of recent advancements in bulk processing of rare‐earth‐free hard magnetic materials. It also addresses related simulation approaches at different scales. The research on rare‐earth‐free magnetic materials has increased significantly in recent years, driven by supply chain issues, environmental and social concerns, and
Daniel Scheiber, Andrea Bachmaier
wiley +1 more source
Context: The problems that contemporary farming methods confront can be greatly mitigated by using machine learning in sustainable agriculture. Combining methods for disease identification with crop recommendations allows farmers to make well-informed ...
P. Ankit Krishna +2 more
doaj +1 more source
Industry 4.0: The Future of Indo-German Industrial Collaboration [PDF]
Industry 4.0 can be described as the fourth industrial revolution, a mega- trend that affects every company around the world. It envisions interconnections and collaboration between people, products and machines within and across enterprises.
Holtkamp, Bernhard, Iyer, Anandi
core
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
The nutritional analyses of a sports drink premix (SDP) made with sorghum flour, Bengal gram flour, seed mix, chicory root powder and a natural flavor mix, showed 66.7 g carbohydrates, 15.8 g protein, 7.43 g fat, and 14.21 g fiber per 100 g.
Shalini Choudhary +3 more
doaj +1 more source
Herein, environmental scanning electron microscopy (ESEM) is discussed as a powerful extension of conventional SEM for life sciences. By combining high‐resolution imaging with variable pressure and humidity, ESEM allows the analysis of untreated biological materials, supports in situ monitoring of hydration‐driven changes, and advances the functional ...
Jendrian Riedel +6 more
wiley +1 more source
Assessing Nacelle Drag Increment: Implications of New Engine Technologies on Aircraft Performance
Τhe Horizon Europe and UKRI-funded MINIMAL project (no. 101056863) aims to develop climate-friendly Composite Cycle Engine (CCE) designs. This study assesses aerodynamic drag increments from new engine installations and their impact on aircraft ...
Odysseas Ziogas +3 more
doaj +1 more source
Technology Support for Small Industries in Developing Countries: A Review of Concepts and Project Practices [PDF]
technology support, small-scale industry, technological capability, learning, competitiveness, assistance projects ...
Romijn, H.
core

