Results 171 to 180 of about 6,143,323 (339)

Thermally Drawn Multifunctional All‐Hydrogel Fibers for Anti‐Fibrotic and Multimodal Neural Interfaces

Advanced Materials, EarlyView.
Hydrogels demonstrate material properties that mimic the mechanical and chemical environments of biological tissues. Yet, they face challenges during their integration into 3D interfaces. By identifying a class of thermoplastic hydrogels, a strategy is developed to pattern hydrogels in thermally drawn fibers.
Changhoon Sung, Kum Seok Nam, Yeji Kim, Honey Kang, Kanghyeon Kim, Chanwoong Yoon, Somin Lee, Ain Chung, Jiheong Kang, Young‐Gyun Park, Alan Jung Park, Haider Butt, Hyunwoo Yuk, Seongjun Park   +13 more
wiley   +1 more source

SOLVE: A structured orthogonal latent variable framework for disentangling confounding in matrix data. [PDF]

Biol Methods Protoc
She J, Alterovitz G.
europepmc   +1 more source

Discovering Fine-Grained Sentiment with Latent Variable Structured Prediction Models

, 2011
Oscar Täckström, Ryan McDonald
openalex   +2 more sources

Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models - a Gentle Tutorial [PDF]

, 2014
Yarin Gal, Mark van der Wilk
openalex   +1 more source

Excited State Opto‐Ionic Reservoir Computing in Hybrid Perovskite Electrochemically‐Gated Luminescent Cells

Advanced Materials, EarlyView.
A neuromorphic computing system exploiting opto‐ionic modulation in lead halide perovskite microcrystals demonstrates high‐dimensional reservoir dynamics with diffraction‐limited node resolution. Leveraging ultrafast excited‐state interactions, it achieves efficient computation (800 pJ/node‐operation), robustly distinguishing 4‐bit pulse sequences ...
Philipp Kollenz, Carina Herrle, Leonard Göhringer, Nasrin Solhtalab, Tom Wickenhäuser, Wolfram Pernice, Rüdiger Klingeler, Felix Deschler   +7 more
wiley   +1 more source

Drivers of public participation in urban regeneration: an integrated choice and latent variable analysis. [PDF]

Sci Rep
Nie M, Feng T.
europepmc   +1 more source

Data-Driven Topology Optimization with Multiclass Microstructures using Latent Variable Gaussian Process [PDF]

, 2020
Liwei Wang, Siyu Tao, Ping Zhu, Wei Chen
openalex   +1 more source

Active Learning‐Guided Accelerated Discovery of Ultra‐Efficient High‐Entropy Thermoelectrics

Advanced Materials, EarlyView.
An active learning framework is introduced for the accelerated discovery of high‐entropy chalcogenides with superior thermoelectric performance. Only 80 targeted syntheses, selected from 16206 possible combinations, led to three high‐performance compositions, demonstrating the remarkable efficiency of data‐driven guidance in experimental materials ...
Hanhwi Jang, Wooseok Lee, Hwa‐Jung Kim, Sohyang Cha, Hosun Shin, Won Bo Lee, Min‐Wook Oh, Yeon Sik Jung, YongJoo Kim   +8 more
wiley   +1 more source

Analysis of multimorbidity compression using a latent variable in a mixed mixture model. [PDF]

Popul Health Metr
Andreella A, Monasta L, Campostrini S.
europepmc   +1 more source

Learning in Integer Latent Variable Models with Nested Automatic Differentiation [PDF]

, 2018
Daniel Sheldon, Kevin Winner, Debora Sujono   +2 more
openalex   +1 more source