Results 71 to 80 of about 285,439 (304)

High Pressure Densification Investigation of Li3PS4 and Li6PS5Cl Solid Electrolytes using Combine X‐Ray Diffraction, X‐Ray Absorption Tomography and Ionic Measurement

Advanced Functional Materials, EarlyView.
We used multiple analytical techniques at the Psiché beamline, Synchrotron Soleil, and at D20 instrument in Institut Laue Langevin, to study the densification of thiophosphate solid electrolytes Li3PS4 and Li6PS5Cl. Our combined X‐ray diffraction, absorption tomography, absorption density, neutron power diffraction, and ionic conductivity analyses ...
Oskar Thompson, Ove Korjus, Adrien Fauchier‐Magnan, Clément Albin, Sergio F. Mayer, Emmanuelle Suard, Thomas Hansen, Laura Henry, Nicolas Guignot, Vittoria Pischedda, Sylvie Le Floch, Claire Villevieille   +11 more
wiley   +1 more source

Active Learning‐Accelerated Discovery of Fibrous Hydrogels with Tissue‐Mimetic Viscoelasticity

Advanced Functional Materials, EarlyView.
Active learning accelerates the design of fibrous hydrogels that mimic the viscoelasticity of native tissues. By integrating multi‐objective optimization and closed‐loop experimentation, this approach efficiently identifies optimal formulations from thousands of possibilities and decouples elasticity and viscosity. The resulting hydrogels offer tunable
Zhengkun Chen, Zheyuan Miao, Gary Tom, Austin H. Cheng, Elizaveta Gusarova, Benjamen Zondag, Tianyi Wu, Dianoosh Kalhori, Boris Hinz, Milad Abolhasani, Alán Aspuru‐Guzik, Eugenia Kumacheva   +11 more
wiley   +1 more source

Study Comparison Deep Learning and Support Vector Machine for Face Mask Detection

Aceh International Journal of Science and Technology
Deep Learning (DL) and Support Vector Machine (SVM) was used for a plethora number of researches lately. Deep Learning works by representing data in layers of learning layers so that the representation becomes more meaningful, and Support Vector Machine ...
Rani Kurnia Putri, Muhammad Athoillah*
doaj   +1 more source

Self‐Healing and Stretchable Synaptic Transistor

Advanced Functional Materials, EarlyView.
A self‐healing stretchable synaptic transistor (3S‐T) is realized using a p‐PVDF‐HFP‐DBP/PDMS‐MPU‐IU bilayer as gate insulator, where dipole‐dipole interaction enhances polarization to achieve a large memory window. Leveraging its neuronal biomimicry, the synaptic transistor demonstrates electrically compatibility with the biological brain. Furthermore,
Hyongsuk Choo, Sangyong Park, Yoonyi Jeong, Jaepyo Jang, Duhwan Seong, In Soo Kim, Myung‐Gil Kim, Mikyung Shin, Minah Suh, Donghee Son, Jin‐Hong Park   +10 more
wiley   +1 more source

Optical coherence tomography for surgical demarcation of GI tumor margins for accelerated decision-making during the surgical resection of tumors

Journal of Innovative Optical Health Sciences
Gastric cancer, including stomach tumors, poses significant health challenges due to late-stage diagnosis and limited early detection methods. Accurate imaging and precise tumor margin demarcation are critical for effective treatment planning and ...
Mohamed Nijas Veluthedath, Anuradha Sekaran, Manjoosha R Yerrapragada, Pradeep Rebala, Duvvuru Nageshwar Reddy, Renu John   +5 more
doaj   +1 more source

Exporting and productivity as part of the growth process: causal evidence from a data-driven structural VAR [PDF]

, 2019
This paper introduces a little known category of estimators - Linear Non-Gaussian vector autoregression models that are acyclic or cyclic - imported from the machine learning literature, to revisit a well-known debate.
Ciarli, Tommaso, Coad, Alex, Moneta, Alessio   +2 more
core  

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

Minimum Density Hyperplanes [PDF]

, 2016
Associating distinct groups of objects (clusters) with contiguous regions of high probability density (high-density clusters), is central to many statistical and machine learning approaches to the classification of unlabelled data.
Hofmeyr, David P., Pavlidis, Nicos G., Tasoulis, Sotiris K.   +2 more
core   +2 more sources

Dual‐Peptide Nanoplatform: Mesoporous Silica Nanoparticles Functionalized With a Cell‐Penetrating Peptide and Loaded With Rationally Designed Antimicrobial Peptides for Tuberculosis Therapy

Advanced Healthcare Materials, EarlyView.
Machine learning–guided engineering of a plectasin‐derived peptide yields DC05, a potent antimycobacterial candidate. Encapsulation into tuftsin‐functionalized mesoporous silica nanoparticles enhances intracellular delivery, stability, and activity against Mycobacterium tuberculosis while maintaining low cytotoxicity and minimal hemolysis. The combined
Christian S. Carnero Canales, Cesar Augusto Roque‐Borda, Ana Carolina Cerqueira Negri, Oswaldo Ramirez Delgado, Letícia Oliveira Catarin Nunes, Flávia Aparecida Resende, Hernane Barud, Norival Alves Santos‐Filho, Saulo Santesso Garrido, Karen Cristina Oliveira, Alexandra Ivo de Medeiros, Rafael Miguel Sábio, Fernando Rogério Pavan   +12 more
wiley   +1 more source

Gibbs Max-margin Topic Models with Data Augmentation [PDF]

, 2013
Max-margin learning is a powerful approach to building classifiers and structured output predictors. Recent work on max-margin supervised topic models has successfully integrated it with Bayesian topic models to discover discriminative latent semantic ...
Chen, Ning, Perkins, Hugh, Zhang, Bo, Zhu, Jun   +3 more
core