Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
The multiobjective bottleneck transportation problem.
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Alexandra Tkachenko, Artiom Alhazov
openaire +3 more sources
A Self‐Driving Lab for Solution‐Processed Electrochromic Thin Films
A self‐driving laboratory accelerates the development of solution‐processed electrochromic thin films. By coupling machine learning with robotic fabrication and characterization, this closed‐loop platform systematically navigates complex processing parameters.
Selma Dahms +7 more
wiley +1 more source
Adaptive Fuzzy Energy Management of Wind‐Battery Systems With Flexible Desalination Load
An adaptive fuzzy energy management strategy is proposed for a wind‐battery‐powered reverse osmosis desalination system. The controller dynamically adjusts the desalination load based on wind power availability and the battery state of charge to reduce battery stress.
Mustafa Fadel +3 more
wiley +1 more source
Renewable‐Based Electric Vehicle Charging and Grid Support Through Bi‐Level Optimization
ABSTRACT This study proposes a bi‐level optimization framework for coordinated electric vehicle charging and discharging in renewable‐based distribution networks. The upper‐level problem minimizes feeder losses from the Distribution Grid Operator perspective, while the lower‐level problem minimizes charging costs for electric vehicle owners under time ...
Wei Peng +4 more
wiley +1 more source
MolFoundry: A Structure-Aware Generative Framework for De Novo Design of PRRSV Nucleocapsid Candidate Binders. [PDF]
Hao J, Jin W.
europepmc +1 more source
A Data‐Driven Closed‐Loop Control Approach to Drive Neural State Transitions for Mechanistic Insight
The study introduces a data‐driven framework combining dynamical systems reconstruction and closed‐loop control to analyze brain‐state transitions in remitted depression. Using fMRI data, we show that these individuals more easily enter but struggle to exit sad mood states, revealing altered connectivity and potential neuromodulation targets for ...
Niklas Emonds +8 more
wiley +1 more source
Multiobjective Design of Growth Media with Genome-Scale Metabolic Models and Bayesian Optimization. [PDF]
Hallmann N +4 more
europepmc +1 more source
ABSTRACT This study aims to enhance bankruptcy prediction models by employing the gradient‐boosting TreeNet algorithm. This research assesses the predictive accuracy of TreeNet in bankruptcy classification using a high‐dimensional approach. Specifically, it categorizes bankruptcy as nonbankrupt, Chapter 7, or Chapter 11 categories.
Ali Saeedi
wiley +1 more source
Multi-Objective Catalyst Discovery in High-Entropy Alloy Composition Space: The Role of Noble Metals on the Pareto Front for Oxygen Reduction Reaction. [PDF]
Plenge MK +4 more
europepmc +1 more source

