Results 191 to 200 of about 225,187 (289)

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

Advancements in Graphdiyne‐Based Multiscale Catalysts for Green Hydrogen Energy Conversion

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review systematically explores the fundamental characteristics of graphdiyne (GDY), cutting‐edge field of GDY‐based multiscale catalysts within sustainable energy conversion systems.Special emphasis is placed on the structure‒property relationships in different reactions.
Qian Xiao, Lu Qi, Siao Chen, Yurui Xue
wiley   +1 more source

Emerging Device Applications From Strong Light-Matter Interactions in 2D Materials. [PDF]

open access: yesAdv Sci (Weinh)
Archana K J   +7 more
europepmc   +1 more source

Haptic In‐Sensor Computing Device Based on CNT/PDMS Nanocomposite Physical Reservoir

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
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

Programmable Microwaveable Chemistry in the Chemputer. [PDF]

open access: yesAngew Chem Int Ed Engl
Zero J   +5 more
europepmc   +1 more source

Data‐Driven Review and Machine Learning Prediction of Diamond Vacancy Center Synthesis

open access: yesAdvanced Intelligent Systems, EarlyView.
A machine learning framework is applied to photoluminescence spectra to extract linewidths and uncover how NV, SiV, GeV, and SnV centers evolve with growth and processing conditions. Unified normalization and k‐fold validation reveal cross‐method trends and enable rapid prediction of defect size and fabrication parameters, offering a data‐driven route ...
Zhi Jiang   +3 more
wiley   +1 more source

Protein‐Template Gold Nanoclusters Induce Differentiation and Modify the Functional Properties of Primary Astrocytes

open access: yesAdvanced NanoBiomed Research, EarlyView.
The incubation of primary astrocytes with fAuNCs‐BSA induces: (A) long‐term effects including fAuNCs‐BSA internalization, red cell fluorescence, differentiation, upregulation of Ca2+ signaling, Cl‐current, and cell volume regulation. B) Short‐term (200 ms) stimulation with UV LED light increases in Ca2+ signaling and inhibition of K+ current. Astrocyte
Roberta Fabbri   +21 more
wiley   +1 more source

Home - About - Disclaimer - Privacy