Results 211 to 220 of about 173,242 (326)

Contact morphology of sand particles in dunes. [PDF]

Sci Rep
Alonso-Marroquin F, Khan SZ, Alqubalee A, Mora P, Al-Shuhail A.   +4 more
europepmc   +1 more source

Bounded cohomology with coefficients in uniformly convex Banach spaces

, 2013
Mladen Bestvina, Kenneth Bromberg, Koji Fujiwara   +2 more
openalex   +2 more sources

Convergence theorem for an intermixed iteration in $p$-uniformly convex metric space

, 2022
KANYANEE SAECHOU, Atid Kangtunyakarn
openalex   +1 more source

Determining Exciton Diffusion Length in Organic Semiconductors: Unifying Macro‐ and Microscopic Perspectives

Advanced Energy Materials, EarlyView.
Exciton diffusion length in organic semiconductor films is determined from encounter/annihilation rates. Non‐normalized exciton densities and proper intrinsic lifetime reference avoid over‐parametrization of the fits. Monte Carlo Simulation of individual molecule‐to‐molecule hops reproduce these results (②) when matching lattice constant and hoping ...
Wenchao Yang, Catherine S. Pursglove De Castro, Safakath Karuthedath, Yuliar Firdaus, Nisreen Alshehri, Si Chen, Diego Rosas Villalva, Christopher E. Petoukhoff, Amr Dahman, Derya Baran, Thomas D. Anthopoulos, Frédéric Laquai, Julien Gorenflot   +12 more
wiley   +1 more source

2-Rotund norms for unconditional and symmetric sequence spaces. [PDF]

Banach J Math Anal
Dilworth S, Kutzarova D, Motakis P.
europepmc   +1 more source

How to Test Triboelectric Nanogenerators: Key Factors for Standardized Performance Evaluation

Advanced Energy Materials, EarlyView.
This paper is a guide on how to test triboelectric nanogenerators (TENGs) so that results can be reliably compared across different laboratories. It explores the many factors (fabrication, mechanical, electrical, and environmental) that can affect TENG testing results and provides recommendations for best practice in testing and performance evaluation.
Daniel M. Mulvihill, Rudra Mukherjee, Yang Xu, Charchit Kumar, Gaurav Khandelwal, Jack Perris, Satyaranjan Bairagi, Akshaya Kumar Aliyana, George K. Stylios, Suresh C. Pillai, Nikolaj Gadegaard   +10 more
wiley   +1 more source

Exploring unsupervised feature extraction algorithms: tackling high dimensionality in small datasets. [PDF]

Sci Rep
Niu H, McCallum GB, Chang AB, Khan K, Azam S.   +4 more
europepmc   +1 more source

Existence and higher arity iteration for total asymptotically nonexpansive mappings in uniformly convex hyperbolic spaces

, 2013
Hafiz Fukhar-ud-din, Amna Kalsoom, Muhammad Aqeel Ahmad Khan   +2 more
openalex   +2 more sources

Machine Learning for Accelerating Energy Materials Discovery: Bridging Quantum Accuracy with Computational Efficiency

Advanced Energy Materials, EarlyView.
This perspective highlights how machine learning accelerates sustainable energy materials discovery by integrating quantum‐accurate interatomic potentials with property prediction frameworks. The evolution from statistical methods to physics‐informed neural networks is examined, showcasing applications across batteries, catalysts, and photovoltaics ...
Kwang S. Kim
wiley   +1 more source

On convex decision regions in deep network representations. [PDF]

Nat Commun
Tětková L, Brüsch T, Dorszewski T, Mager FM, Aagaard RØ, Foldager J, Alstrøm TS, Hansen LK.   +7 more
europepmc   +1 more source