Results 71 to 80 of about 192,126 (263)

Development of a Multi-Criteria Numerical Model for the Evaluation of Rope Rescue Methods: A Pilot Methodological Case Study

Applied Sciences
Rescue operations in abandoned and structurally compromised buildings represent a specific type of technical intervention in which the rapid evacuation of injured persons must be ensured while maintaining a high level of rescuer safety.
Daniela Marasová, Daniela Marasová, Ivanna Betušová, Miroslav Betuš   +3 more
doaj   +1 more source

Self‐Assembled Hybrid Cell‐Enzyme Materials for Gas‐Powered Biocatalysis

Advanced Functional Materials, EarlyView.
Integrating living cells with programmable enzyme networks enables hybrid materials that convert gaseous feedstocks into chemical reducing power. These gas‐powered catalytic beads operate as modular, recyclable platforms for adaptive biocatalysis and sustainable synthesis.
Marius Stoeckle, Kersten S. Rabe, Christof M. Niemeyer   +2 more
wiley   +1 more source

Process Enhancement in Process Mining: A Literature Review.

CEUR workshop proceedings, 2018
The need for continuous improvement of business process drives the adoption of analytics tools and techniques that provide insight into business. One of the techniques that can explore an entity’s business process is Process mining. Process mining approach consists of numerous alternatives depending on their tools, types and perspectives.
Fitri Almira Yasmin, Faiza Allah Bukhsh, Patrício de Alencar Silva   +2 more
openaire   +2 more sources

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

The rate of stable crack growth (SCG) in automotive steels sheets

Metalurgija, 2017
The main aim of this paper is determining the stable crack growth (SCG) rate for automotive steel sheets. The SCG was monitored using the non-contact videoextensometry technique.
Ľ. Ambriško, M. Cehlár, D. Marasová
doaj  

Sub‐Nanometer Curvature Unlocks Quantum Orbital Flexoelectricity in Graphene

Advanced Materials, EarlyView.
In self‐assembled, reproducible, large‐area, quasi‐pristine graphene nanowrinkles, extreme curvature forces out‐of‐plane π‐electrons toward hybridization, driving a transition from classical to quantum orbital flexoelectricity. As curvature approaches the fundamental physical limit set by the C─C bond length, the resulting polarization increases by ...
Sathvik Ajay Iyengar, James G. McHugh, Jonathan P. Salvage, Robert Vajtai, Venkataramana Gadhamshetty, Alan B. Dalton, Manoj Tripathi, Pulickel M. Ajayan, Vincent Meunier   +8 more
wiley   +1 more source

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

Advanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam, William S. Rogers, Chen‐Yu Hu, Ming‐Yuan Song, Xinyu Bao, Shehrin Sayed, Jean Anne C. Incorvia   +6 more
wiley   +1 more source

Process Mining

, 2022
In Zeiten der voranschreitenden Digitalisierung entlang der Wertschöpfungskette ist es für Unternehmen unabdingbar die dabei entstandenen Daten zu analysieren und dadurch Wissensvorsprünge gegenüber der Konkurrenz zu generieren. Bisherige Analyse Instrumente konzentrieren sich jedoch speziell auf die Optimierung von Maßnahmen zur Absatzsteigerung ...
openaire   +3 more sources

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source