Results 141 to 150 of about 224,627 (303)

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

Advanced 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, Garrett F. Godshall, Glenn A. Spiering, Isabela Trindade Coutinho, Alejandro A. Rodriguez, Katherine J. Wood, Aiyana Gonzalez‐Arellano, Sadeq Malakooti, Stephanie L. Vivod, Robert B. Moore   +9 more
wiley   +1 more source

Flame structure and reaction kinetics: The effects of the pre-exponential frequency factor, reaction order, and activation energy

This paper is concerned with studying the effect of the global-reaction-rate parameters, the pre-exponential frequency factor, the reaction order, and activation energy on the internal structure of a premixed propane-air laminar-flame system propagating ...
Aly, S. L.
core  

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

Advanced 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, Jiaxiang Yi, Hieu Nguyen‐Duc, Tien Nu Hoang Lo, Weili Zhao, Chaoqun Dong, Fabien Sorin, Baris Caglar, Lei Wei, Tung Nguyen‐Dang   +9 more
wiley   +1 more source

Forecasting Sales of Slow and Fast Moving Inventories. [PDF]

Adaptations of simple exponential smoothing are presented that aim to unify the task of forecasting demand for both slow and fast moving inventories.
Snyder, R.
core  

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

Advanced 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, Zihan You, Haoran Chen, Qifan Zhong, Rong‐Zhen Liao, Shaoqi Zhan   +5 more
wiley   +1 more source

Deep Learning Inverse Design of Phase‐Change Reconfigurable Terahertz Metadevices for Multidimensional Secure Communication

Advanced Materials, EarlyView.
A deep learning inverse‐design framework is established to create versatile reconfigurable terahertz metadevices. By synergizing deep learning with phase‐change materials, this approach enables on‐demand customization of multidimensional electromagnetic responses.
Yisheng Dong, Xieyu Chen, Aarthy Nagarajan, Yi Yang, Zhihao Wang, Rui Yu, Chuang Zheng, Chunmei Ouyang, Xueqian Zhang, Tun Cao, Ranjan Singh, Zhen Tian   +11 more
wiley   +1 more source

Ferroelectric Dynamic‐Field‐Driven Nucleation and Growth Model for Predictive Materials‐To‐Circuit Co‐Design

Advanced Materials, EarlyView.
This study presents a compact dynamic‐field‐driven nucleation and growth (DFNG) model that captures ferroelectric switching behavior under arbitrary voltage waveforms. It enables extraction of time‐dependent domain wall velocity and growth dimensionality, which can then be extended to device‐level modeling.
Yi Liang, Soohyeon Kim, Tony Chiang, Megan K. Lenox, Ian Mercer, John J. Plombon, Jon‐Paul Maria, Jon F. Ihlefeld, Wenhao Sun, Wei Lu, John T. Heron   +10 more
wiley   +1 more source

Spectral calibration of exponential Lévy Models [2] [PDF]

The calibration of financial models has become rather important topic in recent years mainly because of the need to price increasingly complex options in a consistent way.
Denis Belomestny, Markus Reiß
core  

Soft, Degradable, and Magnetic Microcarriers for Encapsulation and Guided Transport of Drugs and 3D Spheroids

Advanced Materials, EarlyView.
This work presents soft, degradable hydrogel microcarriers that combine magnetic responsiveness with the ability to host multiple therapeutic and cellular components. Produced by droplet microfluidics, the carriers maintain structural integrity during manipulation, permit controlled breakdown under physiological conditions, and enable guided motion for
Xuan Peng, Lulu Song, Daryna Mruga, Veronika Bakhmat, Sergei Dzyadevych, Lin Guo, Shahrukh Shakeel, Rico Illing, Olha Bezsmertna, Xiaotao Wang, Nicholas R. Posselli, Sarthak Misra, Sandra Hauser, Jens Pietzsch, Klaus Kopka, Denys Makarov, Željko Janićijević, Xinne Zhao, Larysa Baraban   +18 more
wiley   +1 more source

Methodology for calculating the pre-exponential factor using the isoconversional principle for the numerical simulation of the air injection process

, 2019
The main challenge to predict at field scale the performance of an air injection process is to understand the oil oxidation process and to have a kinetic model of reactions enabling the prediction of process behavior in a reservoir numerical simulator ...
Niz, Eider, Padilla Reyes, Jorge M, Trujillo P., Marta Liliana   +2 more
core