Results 131 to 140 of about 432,492 (298)
Shaping of Biohybrid Functional Living Materials
Advanced Functional Materials, EarlyView.This work demonstrates a strategy for shaping living mycelium into functional materials by directing its natural growth. Nanoparticles armor hyphae, micron‐scale particles entangle within the network, and printed hydrogel architectures steer expansion, creating defined geometries.Sarah Schyck, Mark Ablonczy, Sourav Patranabish, Kunal Masania +3 morewiley +1 more sourceMechanochromism of Glassy Polymers Enabled by a Loop‐Forming Supramolecular Mechanophore
Advanced Functional Materials, EarlyView.The supramolecular mechanophore LOOP is covalently introduced into glassy polymers, capable of reporting force‐induced pre‐failure damage and local fracture events in polymer glasses. Under different mechanical deformation modes, including grinding, tensile stretching, and scratching, LOOP probes irreversible events in polymer glasses through a ...Linlin Deng, Chantal Graafsma, Felix Meyenhofer, Iulia Scarlat, Luca Bertossi, Christoph Weder, Jess M. Clough +6 morewiley +1 more sourceParallel 3D Bioprinting on SLIPS‐Microarrays
Advanced Functional Materials, EarlyView.This work introduces the first truly parallel 3D bioprinting method, enabling both the simultaneous fabrication of hundreds of cell laden hydrogel 3D structures and their HTS in individual liquid compartments. By integrating Digital Light Processing (DLP) stereolithography with functional micropatterns, the platform decouples printing time from array ...Julius von Padberg, Julian A. Serna, Maike Schliephake, Pavel A. Levkin +3 morewiley +1 more sourceEffect of air layer on PCMs melting process inside a spherical container: A numerical investigation
Results in EngineeringEfficient latent heat storage technology is getting significant interest from the researchers, scientist, and engineers who are involved in solar heating and cooling, waste heat utilization, and building energy management applications.Karrar A. Hammoodi, Israa Ali Abdulghafor, Saif Ali Kadhim, Ammar Elsheikh, Dhuha Radhi Nayyaf, Ahmed mohsin Alsayah, Karrar K. Abdul Hussein, Zakariya Ibrahim Mohammed +7 moredoaj +1 more sourceJUNO Conceptual Design Report [PDF]
, 2015 The Jiangmen Underground Neutrino Observatory (JUNO) is proposed to determine
the neutrino mass hierarchy using an underground liquid scintillator detector.
It is located 53 km away from both Yangjiang and Taishan Nuclear Power Plants
in Guangdong, China.Adam, T., An, F., An, G., An, Q., Anfimov, N., Antonelli, V., Avanzini, M. Buizza, Baccolo, G., Baldoncini, M., Baussan, E., Bellato, M., Bezrukov, L., Bick, D., Blyth, S., Boarin, S., Brigatti, A., Brugière, T., Brugnera, R., Busto, J., Cabrera, A., Cai, H., Cai, X., Cammi, A., Cao, D., Cao, G., Cao, J., Chang, J., Chang, Y., Chen, M., Chen, P., Chen, Q., Chen, S., Chen, S., Chen, S., Chen, X., Chen, Y., Cheng, Y., Chiesa, D., Chukanov, A., Clemenza, M., Clerbaux, B., D'Angelo, D., de Kerret, H., Deng, Z., Deng, Z., Ding, X., Ding, Y., Djurcic, Z., Dmitrievsky, S., Dolgareva, M., Dornic, D., Doroshkevich, E., Dracos, M., Drapier, O., Dusini, S., Díaz, M. A., Enqvist, T., Fan, D., Fang, C., Fang, J., Fang, X., Favart, L., Fedoseev, D., Fiorentini, G., Ford, R., Formozov, A., Gaigher, R., Gan, H., Garfagnini, A., Gaudiot, G., Genster, C., Giammarchi, M., Giuliani, F., Gonchar, M., Gong, G., Gong, H., Gonin, M., Gornushkin, Y., Grassi, M., Grewing, C., Gromov, V., Gu, M., Guan, M., Guarino, V., Guo, W., Guo, X., Guo, Y., Göger-Neff, M., Hackspacher, P., Hagner, C., Han, R., Han, Z., Hao, J., He, M., Hellgartner, D., Heng, Y., Hong, D., Hou, S., Hsiung, Y., Hu, B., Hu, J., Hu, S., Hu, T., Hu, W., Huang, H., Huang, X., Huang, X., Huo, L., Huo, W., Ioannisian, A., Ioannisyan, D., Jeitler, M., Jen, K., Jetter, S., Ji, X., Ji, X., Jian, S., Jiang, D., Jiang, X., Jollet, C., Kaiser, M., Kan, B., Kang, L., Karagounis, M., Kazarian, N., Kettell, S., Korablev, D., Krasnoperov, A., Krokhaleva, S., Krumshteyn, Z., Kruth, A., Kuusiniemi, P., Lachenmaier, T., Lei, L., Lei, R., Lei, X., Leitner, R., Lenz, F., Li, C., Li, F., Li, F., Li, J., Li, N., Li, S., Li, T., Li, W., Li, W., Li, X., Li, X., Li, X., Li, X., Li, Y., Li, Y., Li, Z., Liang, H., Liang, H., Liang, J., Licciardi, M., Lin, G., Lin, S., Lin, T., Lin, Y., Lippi, I., Liu, G., Liu, H., Liu, H., Liu, J., Liu, J., Liu, J., Liu, J., Liu, Q., Liu, Q., Liu, S., Liu, S., Liu, Y., Lombardi, P., Long, Y., Lorenz, S., Lu, C., Lu, F., Lu, H., Lu, J., Lu, J., Lu, J., Lubsandorzhiev, B., Lubsandorzhiev, S., Ludhova, L., Luo, F., Luo, S., Lv, Z., Lyashuk, V., Ma, Q., Ma, S., Ma, X., Ma, X., Malyshkin, Y., Mantovani, F., Mao, Y., Mari, S., Mayilyan, D., McDonough, W., Meng, G., Meregaglia, A., Meroni, E., Mezzetto, M., Min, J., Miramonti, L., Montuschi, M., Morozov, N., Mueller, T., Muralidharan, P., Nastasi, M., Naumov, D., Naumova, E., Nemchenok, I., Ning, Z., Nunokawa, H., Oberauer, L., Ochoa-Ricoux, J. P., Olshevskiy, A., Ortica, F., Pan, H., Paoloni, A., Parkalian, N., Parmeggiano, S., Pec, V., Pelliccia, N., Peng, H., Poussot, P., Pozzi, S., Previtali, E., Prummer, S., Qi, F., Qi, M., Qian, S., Qian, X., Qiao, H., Qin, Z., Ranucci, G., Re, A., Ren, B., Ren, J., Rezinko, T., Ricci, B., Robens, M., Romani, A., Roskovec, B., Ruan, X., Ruan, X., Rybnikov, A., Sadovsky, A., Saggese, P., Salamanna, G., Sawatzki, J., Schuler, J., Selyunin, A., Shi, G., Shi, J., Shi, Y., Sinev, V., Sirignano, C., Sisti, M., Smirnov, O., Soiron, M., Stahl, A., Stanco, L., Steinmann, J., Strati, V., Sun, G., Sun, X., Sun, Y., Sun, Y., Taichenachev, D., Tang, J., Tietzsch, A., Tkachev, I., Trzaska, W. H., Tung, Y., van Waasen, S., Volpe, C., Vorobel, V., Votano, L., Wang, C., Wang, C., Wang, C., Wang, G., Wang, H., Wang, M., Wang, R., Wang, S., Wang, W., Wang, W., Wang, Y., Wang, Y., Wang, Y., Wang, Y., Wang, Z., Wang, Z., Wang, Z., Wang, Z., Wang, Z., Wei, W., Wei, Y., Weifels, M., Wen, L., Wen, Y., Wiebusch, C., Wipperfurth, S., Wong, S. C., Wonsak, B., Wu, C., Wu, Q., Wu, Z., Wurm, M., Wurtz, J., Xi, Y., Xia, D., Xia, J., Xiao, M., Xie, Y., Xu, J., Xu, J., Xu, L., Xu, Y., Yan, B., Yan, X., Yang, C., Yang, C., Yang, H., Yang, L., Yang, M., Yang, Y., Yang, Y., Yang, Y., Yanovich, E., Yao, Y., Ye, M., Ye, X., Yegin, U., Yermia, F., You, Z., Yu, B., Yu, C., Yu, C., Yu, G., Yu, Z., Yuan, Y., Yuan, Z., Zanetti, M., Zeng, P., Zeng, S., Zeng, T., Zhan, L., Zhang, C., Zhang, F., Zhang, G., Zhang, H., Zhang, J., Zhang, J., Zhang, J., Zhang, K., Zhang, P., Zhang, Q., Zhang, T., Zhang, X., Zhang, X., Zhang, Y., Zhang, Y., Zhang, Y., Zhang, Y., Zhang, Y., Zhang, Y., Zhang, Z., Zhang, Z., Zhao, J., Zhao, M., Zhao, T., Zhao, Y., Zheng, H., Zheng, M., Zheng, X., Zheng, Y., Zhong, W., Zhou, G., Zhou, J., Zhou, L., Zhou, N., Zhou, R., Zhou, S., Zhou, W., Zhou, X., Zhou, Y., Zhu, H., Zhu, K., Zhuang, H., Zong, L., Zou, J. +396 morecore +1 more sourceAdaptive Hydrogels With Spatiotemporal Stiffening Using pH‐Modulating Enzymes
Advanced Functional Materials, EarlyView.The chemomechanical coupling in an adaptive hydrogel is studied to further the development of adaptive hydrogels. This coupling is achieved by embedding a pH‐modulating enzyme in a pH‐responsive hydrogel. The enzymatic reaction can be triggered locally, which generates a pH‐decreasing wave throughout the system, increasing the crosslinking density and ...Natascha Gray, Zoe Grämiger, André R. Studart, Rafael Libanori +3 morewiley +1 more sourcePerformance Improvements of Standalone Liquid Air Energy Storage
, 2022 Due to the threat of climate change, our energy systems tend to adopt lower-carbon energy sources, such as renewables. In addition, our energy systems are likely to follow another trend from very large centralized industrial energy systems to decentralized energy hubs serving both industry and the domestic sector in the coming years.openaire +1 more sourceMeniscus Pixel Printing for Contact‐Lens Vision Sensing and Robotic Control
Advanced Functional Materials, EarlyView.A visual‐sensing contact lens is enabled by meniscus pixel printing (MPP), which rapidly patterns a 200 µm perovskite photodetector pixel in 1 s without masks, vacuum processing, or bulky equipment. A deep‐learning‐based super‐resolution reconstructs sparse on‐lens signals into 80 × 80 high‐resolution visual information, while AI‐driven eye‐tracking ...Byung‐Hoon Gong, Dohyean Kim, Jiyun Jeong, Taekyeong Kim, Soon‐sung Kwon, Junyoung Seo, Il Jeon, Im Doo Jung +7 morewiley +1 more source