Results 151 to 160 of about 279,846 (268)

Adaptive Twisting Metamaterials

Advanced Materials, EarlyView.
This work introduces torque‐controlled twisting metamaterials as a transformative platform for adaptive crashworthiness. By combining multiscale predictive modeling with experimental validation on additively manufactured gyroids, it demonstrates tunable stiffness, collapse stress, and energy absorption.
Mattia Utzeri, Maria L. Gatto, Edoardo Mancini, Donato Orlandi, Daniele Cortis, Marco Sasso, Shanmugam Kumar   +6 more
wiley   +1 more source

Natural Gas-Derived Synthetic Fuels: A Comprehensive Review of Pathways for Carbon Offset and Sustainability. [PDF]

ACS Omega
Katbeh T, Musa T, Abdelkarim Y, Choudhury HA, Challiwala MS, Tafreshi R, Elbashir NO.   +6 more
europepmc   +1 more source

Ultrathin, Stretchable, and 3D‐Printable Complementary Nanotubes–Polymer Composites for Multimodal Radiation Shielding in Extreme Environments

Advanced Materials, EarlyView.
A 3D‐printable dual‐mode radiation shielding material is introduced by combining boron nitride nanotubes and single‐walled carbon nanotubes in a stretchable PDMS matrix. The complementary nanotube network enables simultaneous attenuation of electromagnetic interference and neutron radiation while maintaining lightweight, mechanical resilience, and ...
Flandy, Kun Kim, Jaehyoung Ko, Daeun Kim, Daekwon Lee, Heesuk Rho, Sang Seok Lee, Dong Su Lee, Se Gyu Jang, Seokhoon Ahn, Seung‐Yeol Jeon, Dae‐Young Jeon, Yongho Joo   +12 more
wiley   +1 more source

An emission-capacitated vehicle routing model for sustainable urban waste collection using hybrid guided local search. [PDF]

Sci Rep
Khalid QS, Maqsood S, Mumtaz J, Qureshi SM.   +3 more
europepmc   +1 more source

Electrically Assisted Thermal Stamping of Tunable Carbon‐Based Nanofilms for Direct Fabrication of Hydrophobic, Energy Harvesting, and Sensing Devices

Advanced Materials, EarlyView.
Schematic illustration of the electrically assisted thermal stamping (EATS) method for direct fabrication of carbon‐based nanofilms and their multifunctional applications. Localized Joule heating triggers simultaneous exfoliation, reduction, and fluoropolymer incorporation under ambient conditions, yielding tunable carbon‐based thin‐film coatings ...
Byungseok Seo, Yong Choi, Gajendra S. Shekhawat, Minjoong Shin, Kunmo Koo, Xiaobing Hu, Jiheon Kim, Wonjoon Choi, Xinqi Chen, Vinayak P. Dravid   +9 more
wiley   +1 more source

Jet Fuel Exposures in the Military: VA Leading Efforts to Improve Understanding Necessary for Veteran Care. [PDF]

J Occup Environ Med
Vincent-Hall TD.
europepmc   +1 more source

High Charge Carrier Mobility in Non‐Conjugated 3D Covalent Organic Frameworks

Advanced Materials, EarlyView.
A non‐conjugated 3D COF constructed via boronate ester linkages from tetraphenylene and pyrene‐based monomers is reported, which exhibits a high charge carrier mobility of 14 ± 1 cm2 V−1 s−1. ABSTRACT π‐Conjugation, π–π stacking, and long‐range order play a central role in determining charge transport efficiency in organic materials.
Joaquín Almarza, Karol Strutyński, Shuai Fu, Yifan Chen, Natalia M. Padial, Isabel del Barrio Gómez, Carlos Martí‐Gastaldo, Andrei N. Khlobystov, Mischa Bonn, Hai I. Wang, Manuel Melle‐Franco, Aurelio Mateo‐Alonso   +11 more
wiley   +1 more source

Emission Impacts from Sustainable Aviation Fuel Blends via Engine Plume Measurements and Predictive Modeling at the Airport Scale. [PDF]

Energy Fuels
Schmitt S, Enderle B, Schripp T, Grein T, Gaiser N, Jensen STK, Holm PW, Köhler M.   +7 more
europepmc   +1 more source

Asymmetric Bi and S Single Atoms Over Porous Single‐Crystal TiO2 for Efficient CO2 Photoreduction to Acetic Acid

Advanced Materials, EarlyView.
Photocatalytic CO2 to acetic acid is achieved over triadic synergy among asymmetric Bi–O4, S–O2 and 3D porous single‐crystal TiO2, harnessed by a selective extraction process. Particularly, the Bi sites lower the energy barrier for CHO* and C─C coupling, and the structure of S─O regulates Bi─O and Ti─O as a strong Lewis base site ((SO2–BiO4)δ−) to ...
Guangri Jia, Ying Wang, Mingzi Sun, Yingchuan Zhang, Zhipeng Xie, Xiaoqiang Cui, Bolong Huang, Jimmy C. Yu, Zhengxiao Guo   +8 more
wiley   +1 more source

A machine learning framework for predicting fuel consumption and CO2 emissions in hybrid and combustion vehicles: comparative analysis and performance evaluation. [PDF]

PLoS One
Ibrahim RA, Zakzouk NE.
europepmc   +1 more source