Results 131 to 140 of about 752,497 (315)

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

Shoreland School, architectural drawings, 1930s

open access: yes, 2019
Architectural drawings of the Shoreland School designed for the Washington Township Board of Education. These drawings are pencil on tracing paper, and were created by the Jokel, Coy and Thal architectural firm of Toledo, Ohio.
Jokel, Coy and Thal, Architectural Firm (Toledo, Ohio)
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Single‐Chromophore Homojunction Organic Solar Cells: A Path to Simplicity and Efficiency

open access: yesAdvanced Materials, EarlyView.
This perspective discusses how the intrinsic optoelectronic properties of organic semiconductors, their molecular packing in the solid‐state, and internal energetic gradients within a device can enable free‐charge carrier generation in homojunction organic solar cells.
Shaun McAnally   +2 more
wiley   +1 more source

Edwin J. Marshall Residence, architectural drawings, 1912

open access: yes, 2019
Architectural drawings of alterations to a house requested by Edwin J. Marshall. These plans were created by the Mills, Rhines, Bellman, and Nordhoff architectural firm in Toledo, Ohio. These drawings are black ink on linen paper.
Mills, Rhines, Bellman and Nordhoff, Architectural Firm (Toledo, Ohio)
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Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

open access: yesAdvanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj   +8 more
wiley   +1 more source

UA Little Rock Center for Arkansas History and Culture Architectural Drawings, 1841-1979

open access: yes
This collection contains architectural drawings collected by the UA Little Rock Center for Arkansas History and Culture. It includes drawings of apartments and residences, cemetery structures, churches and temples, commercial buildings, government ...
Sanders & Ginocchio Architects; Trapp, Clippard & Phelps Architects; Sanders, Theodore M., 1879-1947
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Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics

open access: yesAdvanced Materials, EarlyView.
“Leaftronics” transforms naturally evolved leaf venation into quasi‐fractal scaffolds for sustainable electronics. Polymer‐infiltrated leaf skeletons can be used to fabricate ultra‐smooth, reflow‐ and thin‐film‐compatible decomposable substrates, while making the same lignocellulose networks conducting results in flexible transparent electrodes.
Rakesh Rajendran Nair   +3 more
wiley   +1 more source

Veterans Group Housing Project, architectural drawings, 1946

open access: yes, 2020
Architectural drawings for a veterans group housing project created by the Britsch and Munger architectural firm of Toledo, Ohio. The drawings are pencil on tracing paper, the commission number for the project is 793, and the drawings were created in ...
Britsch and Munger, Architectural Firm (Toledo, Ohio)
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Drawing and Surface: Freehand Architectural Drawing Mediated by Digital [PDF]

open access: yesElectronic Workshops in Computing, 2013
Simone Helena Tanoue Vizioli   +2 more
openaire   +2 more sources

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

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

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