Results 151 to 160 of about 2,065,553 (347)

Harnessing Photo‐Energy Conversion in Nanomaterials for Precision Theranostics

Advanced Materials, EarlyView.
Harnessing photo‐energy conversion in nanomaterials enables precision theranostics through light‐driven mechanisms such as photoluminescence, photothermal, photoelectric, photoacoustic, photo‐triggered surface‐enhanced Raman scattering (SERS), and photodynamic processes. This review explores six fundamental principles of photo‐energy conversion, recent
Jingyu Shi, Yadi Fan, Qin Zhang, Yingying Huang, Mo Yang   +4 more
wiley   +1 more source

Harnessing Synergistic Cooperation of Neighboring Active Motifs in Heterogeneous Catalysts for Enhanced Catalytic Performance

Advanced Materials, EarlyView.
This review examines the critical role of neighboring active motifs in heterogeneous catalysts, emphasizing how their synergistic cooperativity can be rationally designed to modulate catalytic properties. The discussion centers on the modulation of electronic and geometric structures, categorizing the catalytic systems into metal‐acid (Brønsted/Lewis ...
Peng Yuan, Ching Kit Tommy Wun, Tsz Woon Benedict Lo   +2 more
wiley   +1 more source

Statistics versus machine learning: definitions are interesting (but understanding, methodology, and reporting are more important)

, 2019
Ben Van Calster, Jan Y Verbakel, Evangelia Christodoulou, Ewout W. Steyerberg, Gary S. Collins   +4 more
openalex   +2 more sources

Designing Physical Unclonable Functions From Optically Active Materials

Advanced Materials, EarlyView.
Assigning unforgeable “fingerprints” to manufactured goods is a key strategy to fight global counterfeiting. Optical physical unclonable functions (PUFs) are chemically generated random patterns of optically active materials serving as unique authenticators.
Maxime Klausen, Junfang Zhang, Molly M. Stevens   +2 more
wiley   +1 more source

Lectures on Statistics and Machine Learning [PDF]

Proceedings of Theoretical Advanced Study Institute Summer School 2018 "Theory in an Era of Data" — PoS(TASI2018), 2019
openaire   +1 more source

Statistical Machine Learning in Biomedical Engineering

[ES] Esta tesis, desarrollada bajo una beca de formación de personal investigador de la Universitat Politècnica de València, tiene como objetivo proponer y aplicar metodologías de Statistical Machine Learning en contextos de Ingeniería Biomédica.
openaire   +2 more sources

Stretchable, Multiplexed, and Bimodal Sensing Electronic Armor for Colonoscopic Continuum Robot Enhanced by Triboelectric Artificial Synapse

Advanced Materials, EarlyView.
Colonoscopic continuum robots lack sensing, endangering intestinal tissue. An ideal sensing array is hard to integrate. This work introduces a 3D crosslinked stretchable E‐armor with full‐coverage and multiplexing. It has bimodal sensing, forms a triboelectric synapse, uses CNN‐LSTM, and has a hydrogel and innovative triboelectric materials.
Yuyang Sun, Tao Chen, Dongsheng Li, Hanyang Li, Tianci Ji, Fengxia Wang, Lining Sun, Chengkuo Lee, Huicong Liu   +8 more
wiley   +1 more source

Disordered Rocksalts as High‐Energy and Earth‐Abundant Li‐Ion Cathodes

Advanced Materials, EarlyView.
Disordered rocksalts with lithium excess (DRX) offer a new direction in Li‐ion cathode design beyond conventional Ni‐ and Co‐based materials. This review highlights the design principles, synthesis strategies, and performance optimization of DRX oxides and oxyfluorides for energy‐dense, sustainable batteries using Earth‐abundant transition metals and ...
Han‐Ming Hau, Tucker Holstun, Eunryeol Lee, Bernardine L. D. Rinkel, Tara P. Mishra, Max Markuson DiPrince, Rohith Srinivaas Mohanakrishnan, Ethan C. Self, Kristin A. Persson, Bryan D. McCloskey, Gerbrand Ceder   +10 more
wiley   +1 more source

Transparent Temperature Sensors for Photothermal Neuromodulation: Advances, Challenges, and Future Directions

Advanced Materials Interfaces, EarlyView.
Photothermal neuromodulation is a promising technique for versatile neural signal study and treatment development. To further develop these technologies and optimize their effectiveness, transparent electrical temperature sensors with high thermal sensitivity and resolution are essential for accurately monitoring temperature changes during ...
Jee Woong Lee, Junhee Lee, Jungha Lee, Duhee Kim, Woongki Hong, Junghyup Lee, Minyoung Song, Hongki Kang   +7 more
wiley   +1 more source

Wide‐Field Bond Quality Evaluation Using Frequency Domain Thermoreflectance with Deep Neural Network Feature Reconstruction

Advanced Materials Interfaces, EarlyView.
In this work, wide‐field (>1 mm2) frequency‐domain thermoreflectance (FDTR) hyperspectral imaging is used to image subsurface indium bump bonds 50 µm below the surface. Thermal analysis with Monte Carlo uncertainty propagation is used to evaluate bump quality, while a trained deep neural network (can rapidly reconstruct bump geometry contact area maps.
Amun Jarzembski, Siddharth Nair, Wyatt Hodges, Matthew Jordan, Anthony McDonald, Logan Antiporda, Greg W. Pickrell, Timothy Walsh, Fabio Semperlotti, Jason Neely, Luke Yates   +10 more
wiley   +1 more source