Results 141 to 150 of about 95,096 (305)

Education in Wood Science and Technology: A Status Report

open access: yes, 2007
This report summarizes the current status of wood science and technology programs in North American universities as determined by questionnaires sent to the various institutions.
Barnes, H. M.
core  

Self‐Seeded Nucleation of PET in a Benign Solvent Yields a High Modulus Aerogel With Ultra‐Low Thermal Conductivity

open access: yesAdvanced Materials, EarlyView.
A new benign solvent (1,3‐diphenylacetone) enables a simple, safe, and sustainable dissolution and gelation method to convert waste PET into low density, monolithic aerogels with high mechanical strength (E = 20 MPa) and remarkably low thermal conductivity (k = 21.9 to 28.9 mW/m·K).
Kira R. Baugh   +9 more
wiley   +1 more source

Advances in Magnesium‐Based Thermoelectrics: A Critical Review

open access: yesAdvanced Materials, EarlyView.
Magnesium‐based thermoelectric materials have emerged as promising candidates for low‐to‐mid‐temperature energy conversion due to their abundance, low cost, and competitive performance. This review summarizes recent advances in Mg3X2, MgAgSb, and Mg2X systems, covering transport mechanisms, fabrication strategies, stability challenges, and device ...
Li‐Min Zhang   +5 more
wiley   +1 more source

A distributed bipolar device for monolithic analog-to-digital conversion

open access: yes, 1984
Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1984.MICROFICHE COPY AVAILABLE IN ARCHIVES AND ENGINEERING.Includes bibliographical references.by Christopher Wood Mangelsdorf.Ph ...
Mangelsdorf, Christopher Wood
core  

Designing Strong, Tough, Fire‐Retardant and Self‐Healing Elastomers with Phosphorus/Nitrogen‐ and Biphenyl‐Containing Segments

open access: yesAdvanced Materials, EarlyView.
By designing a P/N‐ and π–π interacting biphenyl‐containing diol as hard segments but side groups, a strong, tough, fire‐extinguishing and self‐healing elastomer is developed, demonstrating a break strain of ∼2500%, a toughness of 379 MJ/m3 and a tensile strength of 46 MPa, as well as a healing efficiency of 95% (tensile strength) and 99% (break strain)
Yijiao Xue   +11 more
wiley   +1 more source

Leaf‐Inspired Eutectic Skin With Extreme Fatigue Resistance and Robust Wet Adhesion for Amphibious Epidermal Electronics

open access: yesAdvanced Materials, EarlyView.
Inspired by Acorus calamus leaves, a heterogeneous eutectic skin integrates an aligned fibrous network within a hydrophobic eutectogel matrix. This hierarchical architecture triggers strain‐induced crystallization to achieve exceptional mechanical toughness and durable wet adhesion.
Jiayu Hou   +16 more
wiley   +1 more source

Effect of wood characteristics on pressure responses during supercritical carbon dioxide treatment

open access: yes, 2006
The potential for using the anatomical properties of wood to predict response to supercritical fluid impregnation was investigated using an array of hardwood and softwood species. Longitudinal resin canals were a reasonable predictor of softwood response
Levien, Keith L.   +5 more
core  

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

open access: yesAdvanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung   +9 more
wiley   +1 more source

Consumer perceptions and preferences on solid wood, wood-based panels, and composites : A repertory grid study

open access: yes, 2008
Knowledge about consumer perception and preferences on solid wood, wood-based panels, and wood-based composites is important for product development and marketing.
Johnson, O.   +4 more
core  

Machine Learning Accelerated Computational Design of Bio‐Inspired Catalysts in the Nitrogen Reduction Reaction

open access: yesAdvanced Materials, EarlyView.
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano   +5 more
wiley   +1 more source

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