Results 141 to 150 of about 179,012 (271)
On Hermite Hadamard-type inequalities for strongly log-convex functions [PDF]
Mehmet Zeki Sarıkaya, Hatice Yaldız
openalex +1 more source
Tilted‐view scanning electron microscope images show arrays of self‐aligned etched GaAs triangular pillars hosting single quantum dots. The main image captures the as‐fabricated morphology prior to dielectric coating, highlighting their uniform geometry.
Gediminas Juska +10 more
wiley +1 more source
Inflatable kirigami crawlers are fabricated from heat‐sealable textiles and achieve motion through cyclic pneumatic actuation. Strategically placed kirigami cuts guide asymmetric deformation, doubling contraction compared to traditional pouches and forming scale‐like surfaces.
Burcu Seyidoğlu +3 more
wiley +1 more source
Pak Biawak, a necrobot, embodies an unusual fusion of biology and robotics. Designed to repurpose natural structures after death, it challenges conventional boundaries between nature and engineering. Its movements are precise yet unsettling, raising questions about sustainability, ethics, and the untapped potential of biointegrated machines.
Leo Foulds +2 more
wiley +1 more source
This study reports an ultrathin graphene‐based strain sensor array fabricated on a 5 µm polyimide substrate. The array achieves millimeter‐scale spatial resolution (≈70 devices cm−2), high sensitivity with a gauge factor of 144, and reliable durability over 5000 cycles.
Wenchao Luo +10 more
wiley +1 more source
Certain Conditions For Strongly Starlike And Strongly Convex Functions
Sukhwinder Singh Billing +2 more
openalex +1 more source
Leveraging Transfer Learning to Overcome Data Limitations in Czochralski Crystal Growth
A data‐driven framework combining Computational Fluid Dynamics (CFD) simulations and machine learning is proposed to model and optimize Czochralski crystal growth. Using different transfer learning strategies (Warm Start, Merged Training, and Hyperparameter Transfer) the study demonstrates improved predictions for Ge and GaAs growth from Si‐trained ...
Milena Petkovic +3 more
wiley +1 more source
Toward a Universal Czochralski Growth Model Leveraging Data‐Driven Techniques
This data‐driven study investigates Czochralski growth using Decision Trees, Symbolic Regression, ANN, and SHAP to assess the impact of 21 process and design parameters on crystal quality. Trained on 632 CFD simulation datasets across four crystalline materials, it demonstrates the feasibility of a universal Cz model applicable to various ...
Natasha Dropka +4 more
wiley +1 more source

