Results 201 to 210 of about 5,051,769 (292)

Variational inference for microbiome survey data with application to global ocean data. [PDF]

ISME Commun
Mishra A, McNichol J, Fuhrman J, Blei D, Müller CL.   +4 more
europepmc   +1 more source

Counterion Dependent Side‐Chain Relaxation Stiffens a Chemically Doped Thienothiophene Copolymer

Advanced Functional Materials, EarlyView.
Oxidation of a thienothiophene copolymer, p(g3TT‐T2), via different doping strategies and dopant molecules resulted in materials with similar oxidation levels and a high electrical conductivity of ≈100 S cm−1. However, mechanical properties varied significantly, with sub‐glass transition temperatures and elastic moduli spanning from –44°C to –3°C and ...
Mariavittoria Craighero, Meghna Jha, Elsa Veronica Flores‐Vela, Joost Kimpel, Andreas Schaefer, Jiali Guo, Jesika Asatryan, Alberto Peinador Veiga, Shuichi Haraguchi, Per‐Anders Carlsson, Jaime Martín, Mariano Campoy‐Quiles, Christian Müller   +12 more
wiley   +1 more source

Measuring the Uncertainty of Predictions in Deep Neural Networks with Variational Inference. [PDF]

Sensors (Basel), 2020
Steinbrener J, Posch K, Pilz J.
europepmc   +1 more source

2D Magnetic and Topological Quantum Materials and Devices for Ultralow Power Spintronics

Advanced Functional Materials, EarlyView.
2D magnets and topological quantum materials enable ultralow‐power spintronics by combining robust magnetic order with symmetry‐protected, Berry‐curvature‐driven transport. Fundamentals of 2D anisotropy and spin‐orbit‐coupling induced band inversion are linked to scalable growth and vdW stacking.
Brahmdutta Dixit, Yifei Yang, Shawn Li, Yu‐Chia Chen, Qi Jia, Jian‐Ping Wang   +5 more
wiley   +1 more source

Stochastic variational inference improves quantification of multiple timepoint arterial spin labelling perfusion MRI. [PDF]

Front Neurosci
Kirk TF, Kenyon GG, Craig MS, Chappell MA.   +3 more
europepmc   +1 more source

Dynamics of Coordinate Ascent Variational Inference: A Case Study in 2D Ising Models. [PDF]

Entropy (Basel), 2020
Plummer S, Pati D, Bhattacharya A.
europepmc   +1 more source

Temperature‐Modulated Threshold Response in a Volatile Memristor: Toward a Biomimetic Polymodal Nociceptive System

Advanced Functional Materials, EarlyView.
This study demonstrates an artificial polymodal nociceptor whose firing threshold is actively modulated by temperature. A volatile TiN/TiOx/ZnO/TiOx/ITO memristor shows interfacial ion–driven resistive switching and membrane‐potential‐like dynamics, enabling temperature‐dependent nociceptive behavior.
Chanmin Hwang, Yuseong Jang, Myoungsu Chae, Hee‐Dong Kim   +3 more
wiley   +1 more source

BEATRICE: Bayesian fine-mapping from summary data using deep variational inference. [PDF]

Bioinformatics
Ghosal S, Schatz MC, Venkataraman A.
europepmc   +1 more source

Optoelectronic Synaptic Devices Using Molecular Telluride Phase‐Change Inks for Three‐Factor Learning

Advanced Functional Materials, EarlyView.
Optoelectronic synaptic devices based on solution‐processed molecular telluride GST‐225 phase‐change inks are demonstrated for three‐factor learning. A global optical signal broadcast through a silicon waveguide induces non‐volatile conductance updates exclusively in locally electrically flagged memristors.
Kevin Portner, Dhananjeya Kumaar, Giacomo Torti, Killian Keller, Till Zellweger, Florian M. Schenk, Christoph Weilenmann, Daniel Chelladurai, Vara Prasad Jonnalagadda, Ghazi Sarwat Syed, Vanessa Wood, Jürg Leuthold, Alexandros Emboras, Maksym Yarema, Mathieu Luisier   +14 more
wiley   +1 more source

Fast Variational Inference for Bayesian Factor Analysis in Single and Multi-Study Settings. [PDF]

J Comput Graph Stat
Hansen B, Avalos-Pacheco A, Russo M, De Vito R.   +3 more
europepmc   +1 more source