Results 51 to 60 of about 22,074,380 (291)

A large language model-based framework with retrieval-augmented generation for automated building energy modeling [PDF]

E3S Web of Conferences
Building energy models (BEMs) are crucial for design and analysis but often require considerable time and expertise due to reliance on specialized software and manual configuration.
Zhang Yake, Xu Peng
doaj   +1 more source

Closed‐Loop Solid‐State Synthesis Planning for Materials Discovery With Large Language Models

Advanced Materials, EarlyView.
Leveraging literature data, we build a large‐language‐model‐driven workflow that extracts synthesis steps from 4407 papers, retrieves similar precedents, and generates candidate solid‐state synthesis recipes. The system benchmarks against ground‐truth and then operates in a closed loop with experiments to synthesize oxy‐selenide electrolyte materials ...
Dong Won Jeon, Dong Hwi Kim, Taeyang Jeon, Joo Yeong Na, Heegyu Kim, Hyunsouk Cho, Dae Soo Jung, Ju Li, Jin‐Sung Park, Sung Beom Cho   +9 more
wiley   +1 more source

S‐Nitrosothiols as Thiol‐Protecting Groups for Controlled Thiol‐Maleimide Crosslinking of Homogeneous Soft Hydrogels

Advanced Materials, EarlyView.
Rapid thiol‐maleimide addition frequently outpaces mixing, resulting in heterogeneous hydrogels. S‐nitrosothiols act as thiol‐protecting groups, allowing uniform mixing with maleimide‐functionalized polymers before gelation. Sodium thiosulfate or sodium ascorbate then regenerates thiols on demand, triggering controlled thiol‐maleimide crosslinking ...
Julian A. Serna, Michelle J. Iwohn, Maximilian Seifermann, Stefan Heißler, Maike Schliephake, Franziska Dopp, Claudia Muhle‐Goll, Pavel A. Levkin   +7 more
wiley   +1 more source

LLM-Seg: Bridging Image Segmentation and Large Language Model Reasoning [PDF]

Understanding human instructions to identify the target objects is vital for perception systems. In recent years, the advancements of Large Language Models (LLMs) have introduced new possibilities for image segmentation.
Ke, Lei, Wang, Junchi
core   +1 more source

Decoding Synergistic Pathways in Bimetallic MOFs for Advanced Oxidation Processes

Advanced Materials, EarlyView.
This review presents a unified framework linking metal pairing and framework design with electronic structure, redox cycling, oxidant activation, reactive‐species generation, and catalytic performance across photocatalytic and oxidant‐based BMOF‐AOPs. The resulting design principles guide the development of hydrolytically stable and efficient BMOFs for
Karim El‐Naggar, Huayang Zhang, Shaobin Wang   +2 more
wiley   +1 more source

Traffic Flow Prediction Based on Multi-Scale Graph Convolution Enhanced Large Language Model

IEEE Access
Traffic flow prediction is a critical foundational problem in intelligent transportation systems. Although Large Language Model (LLM) has shown promising potential in time series modeling tasks in recent years, existing LLM-based methods generally ...
Chuangchuang Zhang, Zengxu Song, Haiquan Shao   +2 more
doaj   +1 more source

On‐Chip Photonic Neural Network Architectures

Advanced Optical Materials, EarlyView.
This review presents a comprehensive overview of on‐chip photonic neural network architectures, covering key photonic building blocks, representative network types, and emerging applications. Recent advances, implementation challenges, and future directions are examined, highlighting the potential of integrated photonics to enable ultrafast, energy ...
Seokjin Hong, Berkay Neseli, Seungyeon Cho, Seungsoo Lee, Yeonjun Kim, Seungyoon Choi, Hyo‐Hoon Park, Hamza Kurt   +7 more
wiley   +1 more source

A Multi-Criteria Comparison of Large Language Model Powered Assistants in Pre-Research Studies for the Academia

IEEE Access
Large Language Models (LLMs), including Generative Pre-trained Transformers (GPT), a specific type of Large Language Model Powered Assistants (LLM-PA), have emerged as powerful tools in academic research and education.
Murat Akin, Gul Didem Batur Sir, Ayyuce Aydemir Karadag, Hakan Cercioglu   +3 more
doaj   +1 more source

Scalable Task Planning via Large Language Models and Structured World Representations

Advanced Robotics Research, EarlyView.
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari, Zhaoting Li, Robert Babuška, Jens Kober, Cosimo Della Santina   +4 more
wiley   +1 more source

On the Shape of Brainscores for Large Language Models (LLMs)

CoRR
With the rise of Large Language Models (LLMs), the novel metric "Brainscore" emerged as a means to evaluate the functional similarity between LLMs and human brain/neural systems. Our efforts were dedicated to mining the meaning of the novel score by constructing topological features derived from both human fMRI data involving 190 subjects, and 39 LLMs ...
openaire   +2 more sources