Results 171 to 180 of about 8,394,012 (247)

Experimentally Determined Spatiotemporal Charge Carrier Dynamics for the Development of Particulate Photocatalysts

Advanced Energy Materials, EarlyView.
This review looks at the different experimental techniques that measure spatiotemporal charge carrier dynamics. This information is viewed in the context of particulate photocatalysts, outlining the insights these techniques provide and how they advance our understanding.
Sutripto Khasnabis, Robert Godin
wiley   +1 more source

Internal Electric Field‐Guided, Low‐Adsorption Ferroelectric Anode Protective Layers for Sustainable Suppression of Polysulfide Side Reactions in Lithium–Sulfur Batteries

Advanced Energy Materials, EarlyView.
A positively polarized ferroelectric β‐pvdf layer incorporating fluorinated boron nitride nanosheets (PPFBN) establishes a strong internal field that promotes Li+ transport toward the anode while suppressing the migration of polysulfide anions. In addition, its intrinsically low polysulfide affinity helps preserve protective‐layer functionality ...
Daehun Han, Hyerim Jang, Junyoung Heo, Kyungjun Kim, Hawon Gu, Jun‐Woo Park, Sang‐Min Lee   +6 more
wiley   +1 more source

Light‐Induced Phase Segregation in Mixed‐Halide Perovskites: Reconciling Mechanistic and Thermodynamic Models

Advanced Energy Materials, EarlyView.
Light‐induced halide segregation limits the stability of mixed‐halide perovskites. This perspective shows how different mechanistic models can be viewed within a common free‐energy framework. It highlights the need to separate kinetic and thermodynamic aspects, the need for bulk‐sensitive measurements, and the need for controlled conditions to identify
Markus Griesbach, Fatemeh Haddadi Barzoki, Anna Köhler, Helen Grüninger   +3 more
wiley   +1 more source

Livelihood Diversification as an Adaptation Strategy to Climate Change and Household Food Security of Livestock Holders in Pakistan

Agribusiness, EarlyView.
ABSTRACT Rural farm households continue to face significant risks from climate change, resulting in many of them diversifying their livelihood sources into other income‐generating activities to increase their incomes and improve food and nutrition security. In this study, we examine the drivers and impact of farm households' participation in livelihood
Mahwish Arshad, Awudu Abdulai
wiley   +1 more source

Model predictive control with inline parameter adaptation for direct crystal growth rate regulation

AIChE Journal, EarlyView.
Abstract In batch cooling crystallization, many interactive factors, including supersaturation, reactor dimensions, and operating conditions, govern crystal growth and significantly influence product properties. Variables such as temperature or refractive index are used as surrogate control variables but have limitations in capturing growth rate ...
Huitian Yu, Jiewen Zhao, Heiko Briesen
wiley   +1 more source

Bayesian Exploration of Metal‐Organic Framework‐Derived Nanocomposites for High‐Performance Supercapacitors

Advanced Intelligent Discovery, EarlyView.
An AI‐assisted approach is introduced to decode synthesis–performance relationships in metal‐organic framework‐derived supercapacitor materials using Bayesian optimization and predictive modeling, streamlining the search for optimal energy storage properties.
David Gryc, Pritam Banerjee, Felipe Jacques Lima Duarte, Joerg R. Jinschek, Premkumar Murugesan, Babak Rezaei, Stephan Sylvest Keller, Roland A. Fischer, Mian Zahid Hussain   +8 more
wiley   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Sampling Strategy: An Overlooked Factor Affecting Artificial Intelligence Prediction Accuracy of Peptides’ Physicochemical Properties

Advanced Intelligent Discovery, EarlyView.
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan, Ankeer Abuduhebaier, Haojin Zhou, Jiaqi Wang   +3 more
wiley   +1 more source

A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws

Advanced Intelligent Discovery, EarlyView.
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows, G. Zhang, S. Anand, Z. Chen, J. Lin, A. Desai, S. Martiniani, F. Caravelli   +7 more
wiley   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source