Results 61 to 70 of about 15,952 (266)

Multi‐Scale Mapping of Gene Expression from Whole‐slide Images for Identifying Phenotype‐Associated Subpopulations

open access: yesAdvanced Science, EarlyView.
BiSCALE: A pathology‐driven deep learning framework for multi‐scale gene expression prediction from whole‐slide images. It accurately infers bulk and near‐cellular spot‐level expression, links predictions to clinical phenotypes, identifies disease‐associated niches, and enables applications in risk stratification and cell‐identity annotation, providing
Hailong Zheng   +8 more
wiley   +1 more source

Coordination of Autonomous Vehicles using a Mixed-Integer LPV-MPC Planner

open access: yes2024 IEEE 63rd Conference on Decision and Control (CDC)
This work addresses the problem of coordinating multiple autonomous vehicles. In particular, an optimal planner based on Model Predictive Control (MPC) is designed for each vehicle, using the linear parameter-varying (LPV) representation of each vehicle model to provide feasible references that ensure constraint satisfaction.
Samada Rigo, Sergio Emil   +3 more
openaire   +1 more source

Diffusion–Model–Driven Discovery of Ferroelectrics for Photocurrent Applications

open access: yesAdvanced Science, EarlyView.
We developed a diffusion model–based generative AI and high‐throughput screening framework that accelerates the discovery of photovoltaic ferroelectrics. By coupling AI driven crystal generation with machine learning and DFT screening, we identified Ca3P2 and LiCdP as new ferroelectric materials exhibiting strong polarization, feasible switching ...
Byung Chul Yeo   +3 more
wiley   +1 more source

N=2 superconformal gravitino in harmonic superspace

open access: yesPhysics Letters B
We present the harmonic superspace formulation of N=2 gravitino multiplet, the simplest N=2 half-integer spin gauge supermultiplet. It is shown that, quite similar to other N=2 gauge multiplets, the gravitino supermultiplet is described by unconstrained ...
Evgeny Ivanov, Nikita Zaigraev
doaj   +1 more source

Spatial “Artistic” Networks: From Deconstructing Integer-Functions to Visual Arts

open access: yesComplexity, 2018
Deconstructivism is an aesthetically appealing architectonic style. Here, we identify some general characteristics of this style, such as decomposition of the whole into parts, superposition of layers, and conservation of the memory of the whole.
Ernesto Estrada, Puri Pereira-Ramos
doaj   +1 more source

Transient Terahertz Oscillations During Photoinduced Polarization Topology Reconfiguration in Ferroelectric Superlattices

open access: yesAdvanced Science, EarlyView.
Terahertz resonances in crystalline heterostructures could close a spectral gap between conventional electronics and photonics while opening new windows on non‐equilibrium lattice dynamics. Femtosecond optical screening of the depolarization field in epitaxial PbTiO3/SrTiO3 superlattices launches a collective polar mode that oscillates near 1 THz and ...
Deepankar Sri Gyan   +13 more
wiley   +1 more source

Solving Integer Ambiguity Based on an Improved Ant Lion Algorithm

open access: yesSensors
In GNSS, a double-difference carrier phase observation model is typically employed, and high-accuracy position coordinates can be obtained by resolving the integer ambiguity within the model through algorithmic processing.
Wuzheng Guo   +3 more
doaj   +1 more source

Mechanism of Solid Solution‐Driven Texture Induced by Ag Doping in YBCO Superconductor

open access: yesAdvanced Science, EarlyView.
Ag‐doped YBCO with a designed concentration gradient is produced by dual‐material co‐extrusion and freeze‐drying. During annealing, Ag+ ions diffuse into Y123, substituting for Cu(1) and inducing c‐axis relaxation. This leads to the formation of [001]‐oriented YBCAO, creating a coherent interface that templates the textured growth of Y123. Consequently,
Fenyan Zhao   +4 more
wiley   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

open access: yesAdvanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray   +3 more
wiley   +1 more source

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