Results 201 to 210 of about 8,117,786 (302)

PBF‐LB/M of Ti‐6Al‐4V: High‐Pressure Solution Treatment and Aging for Applications in a Sustainable Aerospace

Advanced Engineering Materials, EarlyView.
Additive manufacturing (AM) allows great geometric freedom for lightweight components. As parts are progressively optimized exploiting potentials in AM leading in smaller material cross sections, high pressure solution treating and aging (STA) treatments show an enormous potential for strongly improving material properties.
Mika León Altmann, Andre Danzig, Freerk Syassen, Rainer Fechte‐Heinen, Anastasiya Toenjes   +4 more
wiley   +1 more source

Kinematic modeling and simulation of dual-sided shaper machine using Newton-Euler and Lagrangian approaches. [PDF]

Sci Rep
Gutata GR, Kebede GA, Abbera GH.
europepmc   +1 more source

Unidirectional Tape‐Based Composites from Hemp and Pineapple Leaf Fiber: Mechanical Performance in Conventional and Bio‐Based Matrices

Advanced Engineering Materials, EarlyView.
The study investigates novel semi‐finished products made of unidirectionally arranged hemp or pineapple leaf fiber‐reinforced composites produced from different matrices. The materials are analyzed in terms of their mechanical and interfacial properties and void content.
Nina Graupner, Raja Bade, Valentin Ackermann, Roja M. Baumann, Corvin Bischoff, Jona F. Ebeling, Oskar Glenz, Marlo Groh, Jonathan Groth, Finja Hiller, Tom Hirschmüller, Felix Menke, Syntcha Ngantchou Lecdou, Mika Ohler, Daniel Rafii Vardiny, Darius Richter, Dario Röper, Henrik Schumacher, Theresa Stein, Benjamin Vorbeck, Elisabeth Wermter, Kay Kölzig, Jörg Müssig   +22 more
wiley   +1 more source

Forecasting migraine with time-series machine learning from mobile health data. [PDF]

J Headache Pain
Faisal F, Poole AC, Danelakis A, Wergeland T, Bjørk M, Khanevski AN, Kristoffersen ES, Kumelj T, Larsen ICK, Lunder OV, Matharu M, Nachev P, Simpson MR, Tronvik E, Vetvik KG, Winsvold BS, Øie LR, Øvrevik AB, Stubberud A.   +18 more
europepmc   +1 more source

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi, Ebrahim Norouzi, Kostiantyn Hubaiev, Jörg Waitelonis, Harald Sack   +4 more
wiley   +1 more source

Performance of predictive AI-based clinical decision support systems across clinical domains: A systematic review and meta-analysis. [PDF]

PLOS Digit Health
Waldock WJ, Guni A, Darzi A, Ashrafian H.   +3 more
europepmc   +1 more source

Interaction between Molten Al‐Killed Mn–B Steel and Carbon‐Bonded MgO Refractories Based on Recyclates

Advanced Engineering Materials, EarlyView.
High‐temperature interactions between low‐sulfur Al‐killed Mn–B steel and MgO–C refractories (0 and 50 wt% recyclates) are studied via finger immersion tests (1600 °C). Surface‐active elements influence infiltration. MgO/CaS layer forms, along with spinel and calcium silicate.
Matheus Roberto Bellé, Lukas Neubert, Anton Yehorov, Till M. J. Stadtmüller, Christos G. Aneziris, Olena Volkova   +5 more
wiley   +1 more source

Unraveling the toxicological impact of Bisphenol A exposure on dermatomyositis: An integration of network toxicology and machine learning approaches. [PDF]

PLoS One
Cheng L, Tang Z, Li M, Huang C.
europepmc   +1 more source

A Thermodynamic 3D Model for the Simulation of Diffusion‐Controlled Alloying Processes in Heterogeneous Material Structures

Advanced Engineering Materials, EarlyView.
A numerical model resulting from irreversible thermodynamics for describing transport processes is introduced, focusing on thermodynamic activity gradients as the actual driving force for diffusion. Implemented in CUDA C++ and using CalPhaD methods for determining the necessary activity data, the model accurately simulates interdiffusion in aluminum ...
Ulrich Holländer, Leonhard Holländer, André Langohr, Hans Jürgen Maier   +3 more
wiley   +1 more source

Machine Learning-Based Risk Prediction for Coronary Heart Disease Complicated by Hyperhomocysteinemia: Retrospective Study.

JMIR Med Inform
Du MY, Lyu MK, Liu HL, Li YZ, Yan HF, Li XH.   +5 more
europepmc   +1 more source