Results 191 to 200 of about 126,873 (298)

New Opportunities For the Integration of Artificial Intelligence With Materials Science: From Large Language Models to Embodied Large Models

Materials Genome Engineering Advances, EarlyView.
This review first introduces the diversified applications of large language models in materials discovery. Subsequently, the evolution of autonomous experimentation platforms empowered by large language models is analyzed. Finally, four key future research interests are proposed to develop embodied large models for driving autonomous experimentation ...
Zhen Song, Yishuai Cai, Yadong Yu, Pan Xiang, Minglong Li, Zhe Liu, Mengyan Dai   +6 more
wiley   +1 more source

Accelerating dictionary indexing of electron backscatter diffraction patterns with PCA and quantization. [PDF]

Sci Rep
Varley ZT, Rohrer GS, De Graef M.
europepmc   +1 more source

TopoMAS: Large Language Model Driven Topological Materials Multi‐Agent System

Materials Genome Engineering Advances, EarlyView.
TopoMAS is an interactive multi‐agent framework that revolutionizes topological materials discovery through human–AI collaborative intelligence. The system integrates natural language processing, knowledge retrieval from literature and databases, crystal structure generation, and automated first‐principles calculations within a unified workflow.
Baohua Zhang, Xin Li, Huangchao Xu, Zhong Jin, Quansheng Wu, Ce Li   +5 more
wiley   +1 more source

From generative AI to the brain: five takeaways. [PDF]

Front Comput Neurosci
Gros C.
europepmc   +1 more source

Electronic Correlation Effects in the Response of Graphene and MoS2 Monolayers to the Impact of Highly‐Charged Ions

physica status solidi (b), EarlyView.
The response of graphene and MoS2 monolayers to highly‐charged impinging ions is investigated using nonequilibrium Green functions theory. Electronic correlations are found to have a significantly stronger influence on the ultrafast ion‐induced electron dynamics in MoS2 than in graphene.
Giorgio Lovato, Michael Bonitz, Karsten Balzer, Fabio Caruso, Jan‐Philip Joost   +4 more
wiley   +1 more source

Hybrid quantum-chaotic key expansion enhances QKD rates using the Lorenz system. [PDF]

Sci Rep
Danvirutai P, Wongthanavasu S, Hoang TM, Srichan C.   +3 more
europepmc   +1 more source

Optimal Homogeneous ℒp$$ {\boldsymbol{\mathcal{L}}}_{\boldsymbol{p}} $$‐Gain Controller

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Nonlinear ℋ∞$$ {\mathscr{H}}_{\infty } $$‐controllers are designed for arbitrarily weighted, continuous homogeneous systems with a focus on systems affine in the control input. Based on the homogeneous ℒp$$ {\mathcal{L}}_p $$‐norm, the input–output behavior is quantified in terms of the homogeneous ℒp$$ {\mathcal{L}}_p $$‐gain as a ...
Daipeng Zhang, Benjamin Calmbach, Jaime A. Moreno, Johann Reger   +3 more
wiley   +1 more source

Quantum Negotiation Games: Toward Ethical Equilibria. [PDF]

Entropy (Basel)
Smoliński R, Frąckiewicz P, Grzanka K, Szopa M.   +3 more
europepmc   +1 more source

Real‐Time Behavior Recognition Using a Legged Robot for Animal–Robot Interaction

Journal of Field Robotics, EarlyView.
ABSTRACT Animal–robot interaction is an emerging interdisciplinary field that explores the dynamics between animals and robotic systems, as well as the design principles for effective engagement. While previous approaches have investigated animal responses to robotic stimuli, they have yet to integrate artificial intelligence (AI) for real‐time ...
Edoardo Fazzari, Donato Romano, Fabrizio Falchi, Cesare Stefanini   +3 more
wiley   +1 more source

LoRA-INT8 Whisper: A Low-Cost Cantonese Speech Recognition Framework for Edge Devices. [PDF]

Sensors (Basel)
Zhang L, Wu S, Wang Z.
europepmc   +1 more source