Results 51 to 60 of about 46,695 (300)

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

Advanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou, Yunsik Ohm, Ren‐Mian Chin, Olivia Kerr, Krithika Manohar, Mohammad H. Malakooti   +5 more
wiley   +1 more source

2D Co‐Mo‐Hydroxide‐Based Multifunctional Material for the Development of H2‐Based Clean Energy Technologies

Advanced Materials, EarlyView.
2D α‐Co(OH)2 interleaved with Mo species displays an appealing dual functionality for the production and use of green hydrogen.Mo incorporation greatly benefits the electrochemical behaviour in Oxygen Evolution Reaction for H2 production, while the magnetocaloric response at liquid H2 temperature paves the way for alternative cryogenic refrigerants ...
Daniel Muñoz‐Gil, Celia Castillo‐Blas, Dawid Krystian Feler, Isabel Gómez‐Recio, Miguel Tinoco, Ana Querejeta‐Fernández, Rodrigo González‐Prieto, Felipe Gándara, Romualdo Santos Silva Jr, Pilar Ferrer, Carlos Prieto, Luc Lajaunie, José Luis Martinez‐Peña, María Luisa Ruiz‐González, José María González‐Calbet   +14 more
wiley   +1 more source

IL‐31 levels correlate with pruritus in patients with cholestatic and metabolic liver diseases and is farnesoid X receptor responsive in NASH

Hepatology, EarlyView., 2022
IL‐31 levels correlate with pruritus in patients with cholestatic and metabolic liver diseases Abstract Background and Aims Pruritus is associated with multiple liver diseases, particularly those with cholestasis, but the mechanism remains incompletely understood.
Jun Xu, Ya Wang, Mina Khoshdeli, Matt Peach, Jen‐Chieh Chuang, Julie Lin, Wen‐Wei Tsai, Sangeetha Mahadevan, Wesley Minto, Lauri Diehl, Ruchi Gupta, Michael Trauner, Keyur Patel, Mazen Noureddin, Kris V. Kowdley, Aliya Gulamhusein, Christopher L. Bowlus, Ryan S. Huss, Robert P. Myers, Chuhan Chung, Andrew N. Billin   +20 more
wiley   +1 more source

Model fitting for small skin permeability data sets: hyperparameter optimisation in Gaussian Process Regression [PDF]

, 2018
This is the pre-peer reviewed version of the following article: Parivash Ashrafi, Yi Sun, Neil Davey, Roderick G. Adams, Simon C. Wilkinson, and Gary Patrick Moss, ‘Model fitting for small skin permeability data sets: hyperparameter optimisation in ...
Adams, Roderick, Ashrafi, Parivash, Davey, Neil, Moss, Gary Patrick, Sun, Yi, Wilkinson, Simon C   +5 more
core   +3 more sources

Data‐Driven Discovery of Quaternary Ammonium Interlayers for Efficient and Thermally Stable Perovskite Solar Cells

Advanced Materials, EarlyView.
An active learning framework, grounded in independently generated in‐house experimental data, enables reliable discovery of high‐performance interfacial materials for perovskite solar cells. Iterative model refinement autonomously converges toward structurally robust quaternary ammonium architectures, establishing a new design principle for interfacial
Jongbeom Kim, Yang Jeong Park, Chaehoon Jeon, Nahye Shin, Jaewang Park, Seungun Lee, Jino Im, Sungroh Yoon, Sang Il Seok   +8 more
wiley   +1 more source

Adeno‐associated virus serotype 2 capsid variants for improved liver‐directed gene therapy

Hepatology, EarlyView., 2022
Abstract Background and Aims Current liver‐directed gene therapies look for adeno‐associated virus (AAV) vectors with improved efficacy. With this background, capsid engineering is explored. Whereas shuffled capsid library screenings have resulted in potent liver targeting variants with one first vector in human clinical trials, modifying natural ...
Nadja Meumann, Marti Cabanes‐Creus, Moritz Ertelt, Renina Gale Navarro, Julie Lucifora, Qinggong Yuan, Karin Nien‐Huber, Ahmed Abdelrahman, Xuan‐Khang Vu, Liang Zhang, Ann‐Christin Franke, Christian Schmithals, Albrecht Piiper, Annabelle Vogt, Maria Gonzalez‐Carmona, Jochen T. Frueh, Evelyn Ullrich, Philip Meuleman, Steven R. Talbot, Margarete Odenthal, Michael Ott, Erhard Seifried, Clara T. Schoeder, Joachim Schwäble, Leszek Lisowski, Hildegard Büning   +25 more
wiley   +1 more source

The ground-penetrating radar (GPR) method in the characterization of the Monastery of Batalha

Conservar Património, 2019
The characterization of the Monastery of Batalha included the use of the geophysical method of ground-penetrating radar (GPR), a non-destructive and indirect method that provides high-resolution 2D/3D images of the structures to investigate. Owing to the
Nuno Barraca, Manuel Matias, Fernando Almeida   +2 more
doaj   +1 more source

Bagging-GPR method for ship RCS extrapolation in frequency domain

Zhongguo Jianchuan Yanjiu, 2023
Objective To solve the difficulty of obtaining a radar cross section (RCS) using traditional simulation and measurement methods under high frequency, this study proposes a hybrid method which combines bootstrap aggregation (Bagging) and spectral mixture ...
Muyu HOU, Shuhong GONG, Donghai XIAO, Yanchun ZUO, Yu LIU   +4 more
doaj   +1 more source

AI–Guided 4D Printing of Carnivorous Plants–Inspired Microneedles for Accelerated Wound Healing

Advanced Materials, EarlyView.
This work presents an artificial intelligence (AI)‐guided 4D‐printed microneedle platform inspired by carnivorous plants for wound healing. A thermo‐responsive shape memory polymer enables body temperature–triggered self‐coiling for autonomous wound closure.
Hyun Lee, Moon‐Jo Kim, DongEung Kim, Chan Ho Moon, Seojoon Bang, Hyeong Seok Kang, Ju Yeong Gwon, Jong Hwa Seo, Junhyub Jeon, Junhyuk Son, Munwon Lim, Minho Kang, Dong Yun Lee, Donghyun Lim, Jung‐Hoon Park, Gi Doo Cha, Soo‐Hong Lee, Tae‐Sik Jang, Kisuk Yang, Yunho Jeong, Youngho Eom, Hyun‐Do Jung   +21 more
wiley   +1 more source

Data interpretation method of coal-rock interface detection based on ground penetrating radar

Gong-kuang zidonghua, 2019
For problems that existing coal-rock interface identification methods lacked research on characteristics of coal-rock seam and were unable to interpret data well, a data interpretation method of coal-rock interface detection was proposed combining with ...
MIAO Shuguang, LIU Xiaowen, LI Huaijiang, WANG Xin   +3 more
doaj   +1 more source