Results 131 to 140 of about 2,266,507 (256)

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

open access: yesAdvanced 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   +3 more
wiley   +1 more source

New Advances in Topology Optimization [PDF]

open access: yes, 2008
IASS-IACM 2008 Session: New Advances in Topology Optimization -- Session Organizers: Glaucio H. PAULINO (UIUC), Emilio SILVA (University of Sao Paulo) -- Keynote Lecture: "Topology optimization with adaptive mesh refinement" by Eric DE STURLER
Nakasone, Paulo Henrique   +13 more
core   +1 more source

Shape and topology optimization of an acoustic horn-lens combination

open access: yes, 2010
Using gradient-based optimization combined with numerical solutions of the Helmholtz equation, we design an acoustic device with high transmission efficiency and even directivity throughout a two-octave-wide frequency range. The device consists of a horn,
Berggren, Martin,   +3 more
core   +1 more source

Ion‐Reconfigurable “N”‐Shaped Antiambipolar Behavior in Organic Electrochemical Transistors

open access: yesAdvanced Materials, EarlyView.
A unique N‐shaped negative differential transconductance (NDT) characteristics is demonstrated in single‐polymer organic electrochemical transistors through a sequential doping–redox–doping process driven by iodide ions. This redox‐driven mechanism enables low‐voltage, ion‐controlled reconfigurability and tunable current modulation, allowing seamless ...
Debdatta Panigrahi   +11 more
wiley   +1 more source

Deep learning-enabled generative acceleration for topology-optimized structures in 2D and 3D domain

open access: yesDiscover Artificial Intelligence
Latest research explored into how Deep Learning (DL) can be used to accelerate topology optimization while reducing processing costs. Topology optimization, relying on finite element analysis (FEA) and iterative solvers, typically incurs substantial ...
S Kanmani, M. Murali
doaj   +1 more source

Universal Conductance Fluctuations in Quantum Anomalous Hall Insulators

open access: yesAdvanced Materials, EarlyView.
Universal conductance fluctuations are observed in mesoscopic quantum anomalous Hall insulators. Two distinct fluctuation patterns are identified, arising from different interference processes of bulk and chiral edge states, respectively. These findings unveil rich quantum interference phenomena in quantum anomalous Hall insulators and provide insights
Peng Deng   +11 more
wiley   +1 more source

Minimum size control for binary topology optimization

open access: yes
Topology optimization methods employing binary (also known as discrete) design variables currently lack mathematical formulations to ensure length scale control in their solutions.
Cortez, Rômulo L.   +7 more
core   +1 more source

Hydrogel‐Based Airway‐on‐Tube With Perfusable Endothelial Lumen and Outward Epithelialization

open access: yesAdvanced Materials, EarlyView.
A hydrogel‐based airway‐on‐tube platform featuring a perfusable endothelial lumen and outward epithelialization is presented. The system supports primary human bronchial epithelial and lung microvascular endothelial coculture under air‐liquid interface conditions.
Ali Doryab   +8 more
wiley   +1 more source

A performance-based optimization method for topology design of continuum structures with mean compliance constraints

open access: yes, 2002
[Abstract]: A performance-based optimization (PBO) method for optimal topology design of linear elastic continuum structures with mean compliance constraints is presented in this paper.
Steven, Grant P., Liang, Qing Quan
core  

When Poor Exciton Dissociation Limits Photocurrents in Organic Solar Cells: Why Low Offset Non‐Fullerene Acceptor Blends Can't Be Efficient

open access: yesAdvanced Materials, EarlyView.
The energetic offset between the donor and the acceptor components in organic photoactive layers is central to the tradeoff between photovoltage and photocurrent losses. This Perspective covers the most important issues surrounding this topic in non‐fullerene acceptor blends, from the difficulty of accurately determining state energies and driving ...
Dieter Neher, Manasi Pranav
wiley   +1 more source

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