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
Expedited re-design of multi-band passive microwave circuits using orthogonal scaling directions and gradient-based tuning. [PDF]
Koziel S +2 more
europepmc +1 more source
Haptic In‐Sensor Computing Device Based on CNT/PDMS Nanocomposite Physical Reservoir
Using a porous carbon nanotube‐polydimethylsiloxane nanocomposite, a sensor array integrated with a physical reservoir computing paradigm capable of in‐sensor computing is demonstrated. The device is able to classify between nine objects with an accuracy above 80%, opening the possibility for low‐power sensing/computing for future robotics.
Kouki Kimizuka +7 more
wiley +1 more source
Nanomaterial‐Mediated Near‐Infrared Photothermal Neuromodulation for Neurologic Disorders
This review summarizes how near‐infrared light activates photothermal nanomaterials to enable noninvasive neuromodulation with high spatiotemporal precision. It elucidates the underlying mechanisms, explores targeted therapeutic applications for neurological disorders, discusses integration with optogenetics and biosensors, and addresses future ...
Ting‐Ting Zeng +9 more
wiley +1 more source
On-Chip Microwave Sensing of Nonequilibrium Quasiparticles in α-Tantalum Superconducting Circuits on Silicon for Scalable Quantum Technologies. [PDF]
Poorgholam-Khanjari S +5 more
europepmc +1 more source
Variable-fidelity EM analysis and simplex-anchored regression surrogates for efficient global optimization of microwave passive circuits. [PDF]
Pietrenko-Dabrowska A, Koziel S.
europepmc +1 more source
The U‐shaped electromembrane extraction with liquid chromatography‐mass spectrometry enables rapid multiclass pesticide screening in soil. The 15 min, low‐solvent workflow achieves high recoveries and robust linearity, while AGREEprep and GAPI assessments highlight a greener profile compared to literature reports, which represents a smart strategy for ...
Rafael O. Martins +9 more
wiley +1 more source
Cost-efficient variable-fidelity machine learning for globalized optimization of microwave structures. [PDF]
Koziel S +2 more
europepmc +1 more source
ABSTRACT Photocatalytic materials have emerged as promising solutions for environmental applications due to their ability to degrade organic pollutants under sunlight or artificial light. In this review, recent progress on the photocatalytic materials used for the degradation of pharmaceutical personal care products (PPCPs) in environmental ...
Urvashi Sen +5 more
wiley +1 more source
Accurate modeling of microwave structures in constrained domains using global sensitivity analysis and performance-based pre-screening. [PDF]
Koziel S, Pietrenko-Dabrowska A.
europepmc +1 more source

