Results 201 to 210 of about 4,703 (266)

A Kinetic–Energetic Bottleneck of Charge‐Transfer Injection Governs Energy Loss in Organic Solar Cells

open access: yesAdvanced Energy Materials, Volume 16, Issue 30, 12 August 2026.
Kinetic–energetic projection of time‐resolved photoluminescence reveals that charge‐transfer injection acts as a universal bottleneck in organic solar cells. A physics‐constrained Bayesian framework identifies an emergent effective CT injection rate governing the trade‐off between charge generation and nonradiative energy loss.
Rong Wang   +16 more
wiley   +1 more source

Tracking Zn Particle Movement in Zn–MnO2 Batteries and Incorporating Granular Flow Into a Computational Battery Model

open access: yesBatteries &Supercaps, Volume 9, Issue 8, August 2026.
In alkaline Zn–MnO2 cylindrical batteries, nonuniform ZnO precipitation creates a force that pushes Zn particles inward toward the current collector in some cases. Individual Zn particle movement is quantified via pseudo‐operando micro‐computed tomography and particle tracking.
Jillian Rix Mulligan   +5 more
wiley   +1 more source

Reduced Density Matrix and Cumulant Approximations of Quantum Linear Response. [PDF]

open access: yesJ Chem Theory Comput
von Buchwald TJ   +5 more
europepmc   +1 more source

Designing the MyoFusion Media: A Serum‐Free Medium Optimized for Bovine Satellite Cell Differentiation

open access: yesBiotechnology and Bioengineering, Volume 123, Issue 8, Page 2048-2061, August 2026.
ABSTRACT Cultivated meat production requires efficient differentiation of muscle progenitor cells into myotubes without relying on animal‐derived serum, which poses ethical and scalability challenges. This study aimed to develop a chemically defined, serum‐free medium optimized for bovine satellite cell differentiation.
Aysenaz Tavsanli   +3 more
wiley   +1 more source

A‐optimal model‐based design of experiments for processes with uncertain inputs

open access: yesThe Canadian Journal of Chemical Engineering, Volume 104, Issue 8, Page 4307-4321, August 2026.
Abstract Model‐based design of experiments (MBDoE) techniques are tools for selecting experimental conditions that enable accurate parameter estimation for mechanistic models. Most MBDoE approaches assume that the selected experimental conditions will be implemented perfectly, without uncertainties in the independent variables.
Bright Ofori   +3 more
wiley   +1 more source

Real‐Time Incremental Learning Artificial Neural Networks Maximum Power Point Tracking With Raspberry Pi‐Based Meteorological Data Acquisition

open access: yesEnergy Science &Engineering, Volume 14, Issue 8, Page 3741-3773, August 2026.
We present a smart solar tracking method using artificial intelligence to improve the efficiency of solar panels. Unlike traditional techniques, our system learns and adapts to changing sunlight conditions, ensuring faster and more reliable power generation for real‐world energy needs.
Rida Amine   +5 more
wiley   +1 more source

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