Results 51 to 60 of about 18,020 (267)

Automation and Active Learning for the Multi‐Objective Optimization of Antibody Formulations

Advanced Science, EarlyView.
Successful antibody formulation necessitates balancing factors such as thermal stability, colloidal stability, and viscosity across a vast excipient design space. This work integrates robotic liquid handling, high‐throughput biophysical characterization, and multi‐objective Bayesian optimization in an iterative closed‐loop Design‐Build‐Test‐Learn cycle.
D. Christopher Radford, Matthew Tamasi, Elena Di Mare, Adam J. Gormley   +3 more
wiley   +1 more source

Human‐Guided Bayesian Optimization Enables High‐Throughput Laser Annealing of Mesoporous SiOx Anodes for Lithium‐Ion Batteries

Advanced Science, EarlyView.
An empirical‐aided active learning framework is developed to optimize high‐throughput laser‐induced photothermal annealing of silicon suboxide anodes. By integrating probabilistic machine learning with empirical domain knowledge, this approach achieves optimal electrochemical performance using limited experiments.
Chaeyoung Park, Yeongje Lee, Sunho Jeong, Eungkyu Lee   +3 more
wiley   +1 more source

Forensic geophysics: ground penetrating radar (GPR) techniques and missing persons investigations

Forensic Sciences Research, 2019
Ground penetrating radar (GPR) investigations have the potential to non-destructively detect buried or hidden targets and are therefore often used in forensic research.
Pier Matteo Barone, Rosa Maria Di Maggio
doaj   +1 more source

3-D GPR visualization technique integrated with electric resistivity tomography for characterizing near-surface fractures and cavities in limestone

Journal of Taibah University for Science, 2022
Near-surface geophysical techniques, (i.e. ground-penetrating radar (GPR) and electric resistivity tomography (ERT)), continue to enable great possibilities for 3-D visualization of fractures and cavities. An integrated survey, including GPR and ERT, was
Mahmoud Gaballah, Thamer Alharbi
doaj   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Click'n ROPISA: One‐Pot Synthesis of Ultrabright Fluorescent Nanoparticles Made of Polypeptides

Angewandte Chemie, EarlyView.
Self‐assembly and fluorophore conjugation proceed rapidly in a one‐pot “Click'n ROPISA” process, yielding intensely fluorescent polypeptide nanoparticles with tunable visible emission. High dye loading enables efficient energy transfer and single‐particle visualization, while the straightforward synthesis provides versatile access to bright ...
Amin El Jarroudi Hammou, Juliette Lavainne, Rohit Mangalwedhekar, Jyothis Devasia, Laurent Cognet, Sébastien Lecommandoux, Colin Bonduelle, Chloé Grazon   +7 more
wiley   +2 more sources

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Clutter Learning Based LS Method for Buried Target Detection in GPR Images

Havacılık ve Uzay Teknolojileri Dergisi, 2020
regularized version of the least squares (LS) target detection method is combined with the subspace-based clutter learning for buried target detection in ground penetrating radar (GPR) images.
Deniz Kumlu, Isın Erer
doaj  

Imaging and locating paleo-channels using geophysical data from meandering system of the Mun River, Khorat Plateau, Northeastern Thailand

Open Geosciences, 2017
The Khorat Plateau from northeast Thailand, the upstream part of the Mun River flows through clastic sedimentary rocks. A massive amount of sand was transported.
Nimnate P., Thitimakorn T., Choowong M., Hisada K.   +3 more
doaj   +1 more source

GEOELECTRICAL SECTION OF THE BARGUZIN BAY OF LAKE BAIKAL ACCORDING TO GEORADAR AND RADIO IMPEDANCE SOUNDING DATA

Геодинамика и тектонофизика, 2020
Electrical resistivity (electrical conductivity) of water and bottom soil of the Barguzin Bay was studied by radio impedance soundings in VLF/LF bands, and the measurements were analysed.
Yu. B. Bashkuev, V. B. Khaptanov, M. G. Dembelov   +2 more
doaj   +1 more source