Results 271 to 280 of about 602,890 (365)

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

Advanced 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, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

In-Vitro Bioactive Silver Nanoparticles Synthesized from Plant Extract for Multifunctional Drug Delivery. [PDF]

ACS Omega
Santhiya Selvam M, Tresina PS, Rajalakshmi R, Jeeva S, Rajeshkumar L, Sornalakshmi V, Mohan VR, Sathishkumar M.   +7 more
europepmc   +1 more source

Smart Bioinspired Material‐Based Actuators: Current Challenges and Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This work gathers, in a review style, an extensive and comprehensive literature overview on the development of autonomous actuators based on synthetic materials, bringing together valuable knowledge from several studies. Furthermore, the article identifies the fundamental principles of actuation mechanisms and defines key parameters to address the size
Alejandro Palacios, Léon Chiriatti, Simon Poppinga, Thomas Speck, Vincent Le Houérou   +4 more
wiley   +1 more source

Comparative heterogeneity, soil properties and ecosystem services across different ecotypes in the soon Valley. [PDF]

Sci Rep
Ali A, Khan ZI, Ahmad K, Khalofah A, Arif M.   +4 more
europepmc   +1 more source

Lowering the Entrance Hurdle for Lab Automation: An Artificial Intelligence‐Supported, Interactive Robotic Arm for Automated, Repeated Testing Procedures

Advanced Intelligent Systems, EarlyView.
This study introduces a modular lab automation system with affordable robotics and artificial intelligence (AI), enabling flexible, human‐in‐the‐loop task orchestration. Key features include dynamic task recording, efficient data management, and AI‐assisted measurements.
Stefan Conrad, Philipp Auth, Tom Masselter, Thomas Speck   +3 more
wiley   +1 more source

Correction: High-throughput phenotyping of buckwheat (Fagopyrum esculentum Moench.) genotypes under water stress: exploring drought resistance for sustainable agriculture. [PDF]

BMC Plant Biol
Antala M, Kovar M, Sporinová L, Filacek A, Juszczak R, Zivcak M, Shomali A, Prasad R, Brestic M, Rastogi A.   +9 more
europepmc   +1 more source

Multitarget Recognition of Flower Images Based on Lightweight Deep Neural Network and Transfer Learning

Advanced Intelligent Systems, EarlyView.
This article proposes a lightweight YOLOv4‐based detection model using MobileNetV3 or CSPDarknet53_tiny, achieving 30+ FPS and higher mAP. It also presents a ShuffleNet‐based classification model with transfer learning and GAN‐augmented images, improving generalization and accuracy.
Qingyang Liu, Yanrong Hu, Hongjiu Liu
wiley   +1 more source

The essentials of botany,

, 1884
openaire   +5 more sources

Extreme fire severity interacts with seed traits to moderate post‐fire species assemblages

American Journal of Botany, EarlyView.
Abstract Premise Climate change is globally pushing fire regimes to new extremes, with unprecedented large‐scale severe fires. Persistent soil seed banks are a key mechanism for plant species recovery after fires, but extreme fire severity may generate soil temperatures beyond thresholds seeds are adapted to.
Michi Sano, Ryan Tangney, Alexandria Thomsen, Mark K. J. Ooi   +3 more
wiley   +1 more source

Retraction Note: Isolation, expression, and in silico profiling of a thermostable xylanase from Geobacillus stearothermophilus strain NASA267: insights into structural features and agro-waste valorization. [PDF]

Microb Cell Fact
Ali SM, Noby N, Soliman NA, Omar SH.
europepmc   +1 more source