Results 91 to 100 of about 881,350 (316)

Cycle Accurate Energy and Throughput Estimation for Data Cache [PDF]

open access: yes, 2009
Resource optimization in energy constrained real-time adaptive embedded systems highly depends on accurate energy and throughput estimates of processor peripherals. Such applications require lightweight, accurate mathematical models to profile energy and
McDonald-Maier, KD, Qadri, M
core  

Kinetic Insights into Precursor‐Assisted Soft Sphere Close Packing Revealed by In Situ GISAXS with Implications for Gas Sensing

open access: yesAdvanced Functional Materials, EarlyView.
The versatile precursor‐assisted soft sphere close packing during slot‐die coating is investigated with in situ X‐ray scattering. The soft crystallization pathways towards a close packing involve multistep structural transitions such as surface nucleation, in‐plane, and out‐of‐plane crystallization.
Guangjiu Pan   +14 more
wiley   +1 more source

Composition and Resulting Band Alignment at the TiO2/InP Heterointerface: A Fundamental Study Combining Photoemission Spectroscopy and Theory

open access: yesAdvanced Functional Materials, EarlyView.
The chemical composition and band alignment are systematically investigated at the TiO2/InP heterointerface. Thin TiO2 films are deposited by ALD on atomically ordered, P‐terminated p‐InP(100). By combining UPS, XPS, and ab initio molecular dynamics, the atomistic structure and electronic alignment are revealed.
Mohammad Amin Zare Pour   +11 more
wiley   +1 more source

Stress tests on cylinders and aluminum panels [PDF]

open access: yes
An optimization study of composite stiffened cylinders is discussed. The mathematical model for the buckling has been coupled successfully with the optimization program AESOP.
Agarwal, B. L., Sobel, L. H.
core   +1 more source

The Synergy of Artificial Intelligence and 3D Bioprinting: Unlocking New Frontiers in Precision and Tissue Fabrication

open access: yesAdvanced Functional Materials, EarlyView.
Advances in integrating artificial intelligence into 3D bioprinting are systematically reviewed here. Machine learning, computer vision, robotics, natural language processing, and expert systems are examined for their roles in optimizing bioprinting parameters, real‐time monitoring, quality control, and predictive maintenance.
Joao Vitor Silva Robazzi   +10 more
wiley   +1 more source

The Sizing and Optimization Language (SOL): A computer language to improve the user/optimizer interface [PDF]

open access: yes
The nonlinear mathematical programming method (formal optimization) has had many applications in engineering design. A figure illustrates the use of optimization techniques in the design process. The design process begins with the design problem, such as
Lucas, S. H., Scotti, S. J.
core   +1 more source

Unlocking the Full Potential of MgAgSb by Unravelling the Interrelation of Phase Constitution and Thermoelectric Properties

open access: yesAdvanced Functional Materials, EarlyView.
Persistent secondary phases govern the performance of many thermoelectric materials, particularly of high performance MgAgSb. In this study advanced microstructural characterization for unequivocal phase identification combined with transport modeling and statistical analysis enabled the quantification of each phase's impact, revealing the most ...
Amandine Duparchy   +3 more
wiley   +1 more source

Vulnerability Analysis of Modern Electric Grids: A Mathematical Optimization Approach [PDF]

open access: yes, 2019
Electrical power must be transmitted through a vast and complicated network of interconnected grids to arrive at one’s fingertips. The US electric grid network and its components are rapidly advancing and adapting to the advent of smart technologies ...
Millis, Matthew
core   +2 more sources

Oxygen Evolution Reaction by Ni‐Hexacyanoferrates Nanocubes Integrated with Trigonal Selenium: Effect, Properties and Performances

open access: yesAdvanced Functional Materials, EarlyView.
This work describes a novel approach to obtain composite submicrometric structures of nickel hexacyanoferrate integrating trigonal selenium with the aim of enhancing the catalytic efficiency in oxygen evolution reaction (OER). Interestingly, the nanostructures undergo a cube‐to‐sphere transition that optimizes surface properties, leading to superior ...
Edlind Lushaj   +10 more
wiley   +1 more source

CO2 Reduction on Copper‐Nitrogen‐Doped Carbon Catalysts Tuned by Pulsed Potential Electrolysis: Effect of Pulse Potential

open access: yesAdvanced Functional Materials, EarlyView.
This study demonstrates that pulsed potential electrolysis significantly improves CO2 reduction performance on copper‐nitrogen doped carbon electrodes. The formation of cationic copper sites and metallic clusters as a function of applied intermittent potential leads to notable selectivity changes compared to potentiostatic reduction.
Dorottya Hursán   +13 more
wiley   +1 more source

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