Inverse Design of Nanoparticulate Materials
Inverse design shifts nanomaterial development from empirical trial‐and‐error to predictive model‐driven strategies. It can rely on knowledge‐based, data‐based, or hybrid process and property functions. This perspective article provides a practical framework for applying inverse design based on instructive examples. It discusses which modeling approach
Nabi Etienne Traoré +5 more
wiley +1 more source
Correction to: gLeiden: accelerated community detection algorithms using directed and undirected graphs on GPUs. [PDF]
europepmc +1 more source
Graph embedding based label propagation for community detection in social networks. [PDF]
Meena SS, Sharma PC, Singh YP, Singh MP.
europepmc +1 more source
Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng +24 more
wiley +1 more source
Simple yet effective heuristic community detection with graph convolution network. [PDF]
Wang H +5 more
europepmc +1 more source
A Critical Call for Mechanistic Investigations of Metal‐Bacteria Interactions
It is well established that the antibacterial properties of metals have tremendous importance for bioengineering applications. What is not as appreciated, however, is the reproducibility crisis in this field's vast literature. In this perspective, we highlight this reproducibility problem, discuss its sources, and suggest solutions towards focused ...
J. Rackwitz +9 more
wiley +1 more source
Community detection for directed networks revisited using bimodularity. [PDF]
Cionca A, Chan CHM, Van De Ville D.
europepmc +1 more source
Biomass DNA: An Emerging Building Block for Advanced Materials
Biomass DNA is rapidly emerging from its traditional role as a genetic blueprint to serve as a versatile abundant, highly programmable polymeric building block. This review highlights the transformation of macroscopic bulk biomass DNA into next generation of functional materials, spanning from dynamic hydrogels, sustainable bioplastics, and high ...
Yuwei Hu, Itamar Willner, Li Niu
wiley +1 more source
Enforcing sparsity in complex networks through a probabilistic tensor factorization approach
openDetecting community structures in network data is one of the central objectives in the analysis of complex networks. Inferential approaches for community detection based on probabilistic tensor factorization of the adjacency 3-way tensor are among ...
LATIFLLARI, AIDA
core
Community detection framework based on 3D shape descriptors for tree species classification in point cloud data. [PDF]
Kohek Š, Žalik B, Mongus D, Strnad D.
europepmc +1 more source

