Results 101 to 110 of about 18,277 (211)

Recent advances in data‐driven and artificial intelligence‐integrated perovskite solar cells: From design to self‐driving laboratories

open access: yesInfoMat, Volume 8, Issue 4, April 2026.
To address the limitations of conventional trial‐and‐error approaches, perovskite solar cell research is shifting toward a new paradigm that utilizes datasets and AI. This review examines the fundamental elements of data‐driven and AI‐integrated research: data platforms, AI methodologies, and self‐driving laboratories, demonstrating how their ...
Jaehee Lee   +5 more
wiley   +1 more source

Seeing Through Geomorphic Complexity to Recover Tectonics From Topography: Inverting Landscapes for Uplift Histories Using the Wasserstein Distance

open access: yesJournal of Geophysical Research: Earth Surface, Volume 131, Issue 4, April 2026.
Abstract An important problem in the Earth sciences is extracting information about tectonic and other processes from topography. A general challenge is that geomorphic activity that we typically have little information about during the lifetime of a landscape can introduce geomorphic “noise”.
M. J. Morris   +4 more
wiley   +1 more source

Monitoring Groundwater Pumping Using Time‐Lapse Tomography From Ambient Seismic Noise

open access: yesWater Resources Research, Volume 62, Issue 4, April 2026.
Abstract Management of water resources will be of critical importance as the effects of climate change accelerate. This implies the need to monitor water resources with high spatial and temporal resolution. One way to meet this need could be passive seismic methods using ambient seismic noise. In this study, we present a novel approach using time‐lapse
Richard Kramer   +5 more
wiley   +1 more source

Anisotropic Cellular Forces Drive Hexagonal‐to‐Tetragonal Tiling Transitions in the Drosophila Eye

open access: yesDevelopment, Growth &Differentiation, Volume 68, Issue 3, April 2026.
ABSTRACT Tile patterns are fundamental organizational principles of multicellular epithelial tissues. The Drosophila compound eye provides a striking example, in which ommatidia are arranged in a highly regular hexagonal lattice, while tetragonal patterns emerge in specific small‐eye mutants.
Ting Zheng   +4 more
wiley   +1 more source

Toward Accelerated Training of Parallel Support Vector Machines Based on Voronoi Diagrams. [PDF]

open access: yesEntropy (Basel), 2021
Alfaro C   +4 more
europepmc   +1 more source

When Proximity Falls Short: Inequalities in Commuting and Accessibility by Public Transport in Santiago, Chile

open access: yesGeographical Analysis, Volume 58, Issue 2, April 2026.
ABSTRACT Traditional measures of urban accessibility often rely on static models or survey data. However, location information from mobile networks enables large‐scale, dynamic analyses of how people navigate cities. In this study, we employ eXtended Detail Records (XDRs) from mobile phone activity to analyze commuting patterns and accessibility ...
Cesar Marin‐Flores   +2 more
wiley   +1 more source

Modifiable Areal Unit Problem on Network Topological Measures for Public Transit Flows

open access: yesTransactions in GIS, Volume 30, Issue 2, April 2026.
ABSTRACT Transit flows can provide useful insights into urban mobility patterns and dynamics. Generally, the transit flows between the origin and destination locations are aggregated into areal units for statistical analysis. A well‐known issue is the modifiable areal unit problem (MAUP), where its sensitivity depends on the basic areal units.
Jiwoo Kim, Gunhak Lee
wiley   +1 more source

Conflicting adaptations in an inhibitory feedback circuit

open access: yesThe Journal of Physiology, Volume 604, Issue 7, Page 3005-3031, 1 April 2026.
Abstract figure legend We studied activity‐dependent adaptation in the fruit fly Drosophila’s memory centre, the mushroom body. Here, excitatory Kenyon cells (KCs) receive feedback inhibition from the anterior paired lateral (APL) neuron. When KCs are artificially overactivated for 24 h, both KCs and APL reduce their sensitivity to excitation (‘↓ Exc’,
Gregor A. Bergmann   +5 more
wiley   +1 more source

Tensor Hypercontraction Error Correction Using Regression

open access: yesJournal of Computational Chemistry, Volume 47, Issue 8, 30 March 2026.
The combination of tensor hypercontraction with machine learning bridges the gap between accuracy and computational efficiency through scaling reduction. ABSTRACT Wavefunction‐based quantum methods are some of the most accurate tools for predicting and analyzing the electronic structure of molecules, in particular for accounting for dynamical electron ...
Ishna Satyarth   +2 more
wiley   +1 more source

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