TargetGen‐recurrent neural network (RNN), an advanced generative model, generated 28,708 unique and novel compounds, identifying SAK‐2970 as a potent antibiotic against drug‐resistant Staphylococcus aureus. Exhibiting strong biofilm inhibition, high therapeutic efficacy, and minimal systemic toxicity in vivo, SAK‐2970 highlights its safety and clinical
Shakeel Ahmad Khan +2 more
wiley +1 more source
Benchmarking Large Language Models for Polymer Property Predictions
Large language models (LLMs) are fine‐tuned on polymer thermal property datasets to directly predict glass transition, melting, and decomposition temperatures from SMILES inputs. Compared to state‐of‐the‐art models such as Polymer Genome, polyGNN, and polyBERT, LLMs achieve competitive yet lower accuracy.
Sonakshi Gupta +3 more
wiley +1 more source
Syntactic approach to electric mobility in metropolitian areas: NE 1 district core, segment map [PDF]
Capturing vehicular travel behavior is one of the most popular models that deal with relevant aspects of urban regions and communities. Since 1960s, it has been matured and evolved to cover all aspects of travel demand applications.
Dalton, Ruth, Elbanhawy, Eiman
core +1 more source
Many people see American cities as a radical departure in the history of town planning because of their planned nature based on the geometrical division of the land. However, other cities of the world also began as planned towns with geometric layouts so American cities are not unique.
Major M.D., Dalton R.C.
openaire +3 more sources
Review of: "Study of environment-behavior in three types of the urban context of Tehran — Comparative analysis of the Chizar, Narmak, and Khazane neighborhoods’ context using survey and space syntax methods" [PDF]
Chen Hua Fu
openalex +1 more source
Challenges and Opportunities in Machine Learning for Light‐Emitting Polymers
The performance of light‐emitting polymers emerges from coupled effects of chemical diversity, morphology, and exciton dynamics across multiple length scales. This Perspective reviews recent design strategies and experimental challenges, and discusses how machine learning can unify descriptors, data, and modeling approaches to efficiently navigate ...
Tian Tian, Yinyin Bao
wiley +1 more source
Unfolding the dynamical structure of Lisbon's public space: space syntax and micromobility data. [PDF]
Freire de Almeida H +3 more
europepmc +1 more source
TopoMAS: Large Language Model Driven Topological Materials Multi‐Agent System
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 +5 more
wiley +1 more source
Abstract Integrating diverse trees and shrubs (hereafter ‘trees’) in agricultural landscapes has emerged as a crucial nature‐based solution to the triple challenge of biodiversity loss, climate change and food security. The potential benefits of on‐farm trees for both people and nature, however, are often constrained by inadequate consideration of ...
Ennia Bosshard +6 more
wiley +1 more source
Evaluating Experiential Qualities of Historical Streets in Nanxun Canal Town through a Space Syntax Approach [PDF]
Yabing Xu, John Rollo, Yolanda Esteban
openalex +1 more source

