Results 161 to 170 of about 435,841 (322)
Digital Twin Simulations Toolbox of the Nitrogen‐Vacancy Center in Diamond
The Nitrogen‐vacancy (NV) center in diamond is a key platform within quantum technologies. This work introduces a Python based digital‐twin of the NV, where the spin dynamics of the system is simulated without relying on commonly used approximations, such as the adoption of rotating frame. The digital‐twin is validated through three different examples,
Lucas Tsunaki +3 more
wiley +1 more source
Toward an Event-Based and Quality-Assured Air Sampling: A Portable System for Sensing and Sampling Volatile Organic Compounds. [PDF]
Mayer T +3 more
europepmc +1 more source
This study develops a novel application of UAV‐LiDAR and Red Green Blue (RGB) data and network analysis to enhance our understanding of boreal forest succession. The results indicate that tree height and spectral variables are the most influential predictors of plant functional type in random forest algorithms, and high overall accuracies were attained.
Léa Enguehard +9 more
wiley +1 more source
Chemical exfoliation of layered Al<sub>5</sub>C<sub>3</sub>N for the synthesis of AlN nanosheets. [PDF]
Amousa N +12 more
europepmc +1 more source
Die mittlere Energie rotierender elektrischer Dipole im Strahlungsfeld
A. D. Fokker
semanticscholar +1 more source
ABSTRACT Using the Theory of Planned Behavior, this study examines the determinants influencing Generation Z in adopting circular practices when traveling as tourists, focusing on 300 respondents from Majorca. Employing a PLS‐SEM framework, the research evaluates the influence of TPB factors on circular economy participation and investigates the impact
Marta Jacob +3 more
wiley +1 more source
Improving Perovskite/CIGS Tandem Solar Cells for Higher Power Conversion Efficiency through Light Management and Bandgap Engineering. [PDF]
Farias-Basulto G +11 more
europepmc +1 more source
Ensuring Battery Safety in Electric Vehicles: Challenges, Developments, and Future Perspectives
This review explores machine learning techniques to predict and mitigate thermal runaway in lithium‐ion batteries. By analyzing failure mechanisms and safety issues, the study develops data‐driven models for early detection. It proposes safety enhancement strategies for battery design and maintenance, offering actionable insights to prevent ...
Oumayma ELJarray +7 more
wiley +1 more source

