Results 201 to 210 of about 179,012 (271)

Affordable Non-Invasive Machine-Aided Phenotyping Identifies Phenotypic Variation to Soil Stress Across the Arabidopsis thaliana Life Cycle. [PDF]

Physiol Plant
Knopf MC, Bauer P.
europepmc   +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

New Data Indicate Larger Decline in Morphological Diversity in Split-Footed Lacewing Larvae than Previously Estimated. [PDF]

Insects
Buchner L, Linhart S, Braig F, Haug GT, Weiterschan T, Haug C, Haug JT.   +6 more
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

Primal Subgradient Methods with Predefined Step Sizes. [PDF]

J Optim Theory Appl
Nesterov Y.
europepmc   +1 more source

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

Born's Rule from Contextual Relative-Entropy Minimization. [PDF]

Entropy (Basel)
Zaghi A.
europepmc   +1 more source

Around Strongly Operator Convex Functions [PDF]

Nahid Gharakhanlu, Mohammad Sal Moslehian   +1 more
openalex   +1 more source

Tailored Ordering Enables High‐Capacity Cathode Materials

Advanced Energy Materials, EarlyView.
A comprehensive first‐principles database is constructed to investigate ordering stability and tendencies in rocksalt‐type LiMO2, aiming to tailor both long‐ and short‐range orderings to encourage favorable rocksalt phase stability and Li diffusion in novel cathode design.
Tzu‐chen Liu, Adolfo Salgado‐Casanova, So Yubuchi, Bianca Baldassarri, Muratahan Aykol, Jun Yoshida, Hisatsugu Yamasaki, Yizhou Zhu, Steven B. Torrisi, Chris Wolverton   +9 more
wiley   +1 more source