Results 221 to 230 of about 942,483 (302)

Comparing factor mixture modeling and conditional Gaussian mixture variational autoencoders for cognitive profile clustering. [PDF]

Front Psychol
Orsoni M, Giovagnoli S, Garofalo S, Mazzoni N, Spinoso M, Benassi M.   +5 more
europepmc   +1 more source

Above Room Temperature Ferroelectricity in Epitaxially Strained KTaO3

Advanced Materials, EarlyView.
Through precise epitaxial engineering, the cubic and paraelectric KTaO3${\rm KTaO}_3$ is transformed into a robust ferroelectric. By leveraging lattice‐mismatched substrates to apply controlled epitaxial strain, a stable ferroelectric ground‐state is achieved with a transition temperature as high as 475 K, establishing KTaO3${\rm KTaO}_3$ as a highly ...
Tobias Schwaigert, Salva Salmani‐Rezaie, Sankalpa Hazra, Utkarsh Saha, Maya Ramesh, Aiden Ross, Betül Pamuk, Long‐Qing Chen, David A. Muller, Darrell G. Schlom, Venkatraman Gopalan, Kaveh Ahadi   +11 more
wiley   +1 more source

PILOT-GM-VAE: patient-level analysis of single-cell disease atlas with optimal transport of Gaussian mixture variational autoencoders. [PDF]

Brief Bioinform
Joodaki M, Shaigan M, Samiei S, Nagai J, Maié T, Kuppe C, Costa IG.   +6 more
europepmc   +1 more source

Resolving Nanoscale Heterogeneities in Lead Halide Perovskites Through Low‐Dose Concurrent 4D‐STEM‐EDX Mapping

Advanced Materials, EarlyView.
Mixed‐cation lead mixed‐halide perovskites suffer from structural instabilities linked to nanoscale heterogeneity. To probe this non‐destructively, a low‐dose, concurrent 4D‐STEM and EDX methodology has been developed. Examining a (FA0.83Cs0.17)Pb(I0.8Br0.2)3 film revealed a complex mosaic of coexisting crystal structures. Crucially, local deficiencies
Jinseok Ryu, Alexandra A. Sheader, Mohsen Danaie, David G. Hopkinson, Katherine E. MacArthur, Nakita K. Noel, Christopher S. Allen   +6 more
wiley   +1 more source

scHiCSRS: a self-representation smoothing method with Gaussian mixture model for imputing single cell Hi-C data. [PDF]

BMC Bioinformatics
Xie Q, Meng W, Lin S.
europepmc   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

Detection-Driven Gaussian Mixture Probability Hypothesis Density Multi-Target Tracker for Airborne Infrared Platforms. [PDF]

Sensors (Basel)
Hong M, Wang J, Zhu M, Cao S, Nie H, Xu X.   +5 more
europepmc   +1 more source

Liquid Crystal Elastomer‐Based Haptic Pixel Arrays at Your Fingertips for Advanced Human–Machine Interfaces

Advanced Materials, EarlyView.
We mechanically program liquid crystal elastomer coatings as a stimuli‐responsive and digitally addressable platform for refreshable tactile displays; we validate the perceptual performance of our dynamic device matches conventional static tactile media.
Tom Bruining, Enjun Lin, Yu Zou, Meike Heldoorn, Pengrong Lyu, Samuël A. M. Weima, Astrid M. L. Kappers, Myrthe A. Plaisier, Satoshi Aya, Danqing Liu   +9 more
wiley   +1 more source

Tests of covariate effects under finite Gaussian mixture regression models. [PDF]

J Appl Stat
Gan C, Chen J, Feng Z.
europepmc   +1 more source

Leveraging Data‐Driven and Fundamental Insights for Electrolyte Innovation in Lithium Metal Batteries

Advanced Materials, EarlyView.
Using 640 curated electrolyte formulations, we apply data‐driven analysis to reveal how molecular features govern coulombic efficiency (CE) in lithium metal batteries. Fluorine content correlates positively with CE, while oxygen, carbon, and higher boiling points correlate negatively.
Minh Van Duong, Mitchell Kaiser, Xia Cao, Trung Thien Nguyen, Au Nguyen, Phung My Loan Le, Jun Liu   +6 more
wiley   +1 more source