Results 61 to 70 of about 44,584 (264)

In Situ Disentangling Local Thermal and Photoelectron Contribution in Photoelectrochemical Reactions Based on Optical Microfiber Sensors

open access: yesAdvanced Science, EarlyView.
An in situ optical microfiber sensor capable of real‐time decoupling of photothermal and photoelectronic effects in photoelectrochemical reactions is presented. The approach utilizes highly sensitive modal interference to dynamically capture localized thermo‐optic signals from photothermal materials, thereby enabling quantitative discrimination of ...
Guangzheng Luo   +4 more
wiley   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

open access: yesAdvanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray   +3 more
wiley   +1 more source

Multidirectional Charge Separation in Self‐Assembled Aggregates of Perylenebisimide‐Porphyrin Bola‐Supra‐Amphiphiles

open access: yesAngewandte Chemie, EarlyView.
Stable aggregates of a new hydrogen‐bond mediated porphyrin‐perylenebisimide (PBI) bola‐type supra‐amphiphile have been synthesized by lyophilization of solutions of both single molecules in THF/water mixtures, followed by redispersion in pure water. Cryogenic transmission electron microscopy verifies the spherical morphology.
Erik J. Schulze   +6 more
wiley   +2 more sources

Getting Feasible Variable Estimates From Infeasible Ones: MRF Local Polytope Study [PDF]

open access: yes, 2012
This paper proposes a method for construction of approximate feasible primal solutions from dual ones for large-scale optimization problems possessing certain separability properties.
Savchynskyy, Bogdan, Schmidt, Stefan
core  

Integrating Automated Electrochemistry and High‐Throughput Characterization with Machine Learning to Explore Si─Ge─Sn Thin‐Film Lithium Battery Anodes

open access: yesAdvanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
A closed‐loop, data‐driven approach facilitates the exploration of high‐performance Si─Ge─Sn alloys as promising fast‐charging battery anodes. Autonomous electrochemical experimentation using a scanning droplet cell is combined with real‐time optimization to efficiently navigate composition space.
Alexey Sanin   +7 more
wiley   +1 more source

Enhancing Sustainability Label Effectiveness Through Logo Design Modification: An Analysis of the EU Green Leaf Logo

open access: yesAgribusiness, EarlyView.
ABSTRACT Sustainability labels can help support consumers select more socially and environmentally friendly options, thereby enhancing returns for conscientious producers and promoting the transition to a more sustainable food system. However, consumer confusion regarding labels' meaning undermines their effectiveness.
Monika Hartmann   +4 more
wiley   +1 more source

Construction of power flow feasibility sets [PDF]

open access: yes, 2015
We develop a new approach for construction of convex analytically simple regions where the AC power flow equations are guaranteed to have a feasible solutions.
Dvijotham, Krishnamurthy   +1 more
core  

Stochastic optimization of Power‐to‐Methanol: Production cost sensitivity to process design vs. scheduling

open access: yesAIChE Journal, EarlyView.
Abstract Under time‐varying electricity prices, the production costs of Power‐to‐X processes with intermediate storage can be reduced by simultaneously optimizing the process unit design and size with their scheduling and operation. However, the production cost sensitivity to optimal process design or scheduling is unclear, especially when several ...
Simone Mucci, Dominik Bongartz
wiley   +1 more source

A distributed primal-dual interior-point method for loosely coupled problems using ADMM [PDF]

open access: yes, 2015
In this paper we propose an efficient distributed algorithm for solving loosely coupled convex optimization problems. The algorithm is based on a primal-dual interior-point method in which we use the alternating direction method of multipliers (ADMM) to ...
Annergren, Mariette   +3 more
core  

FIRE‐GNN: Force‐Informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu   +5 more
wiley   +1 more source

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