Results 241 to 250 of about 1,007,914 (329)

Predicting Atomic Charges in MOFs by Topological Charge Equilibration

Advanced Functional Materials, EarlyView.
An atomic charge prediction method is presented that is able to accurately reproduce ab‐initio‐derived reference charges for a large number of metal–organic frameworks. Based on a topological charge equilibration scheme, static charges that fulfill overall neutrality are quickly generated.
Babak Farhadi Jahromi, Sumukh Shankar Sharadaprasad, Rochus Schmid   +2 more
wiley   +1 more source

Tracking control of industrial manipulator based on adaptive RBF neural network with local model approximation. [PDF]

Sci Rep
Han G, Huang C, Xiao W, Peng Y, Chen X, Mei Z.   +5 more
europepmc   +1 more source

PRELIVE: A Framework for Predicting Lipid Nanoparticles In Vivo Efficacy and Reducing Reliance on Animal Testing

Advanced Functional Materials, EarlyView.
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy, Chuan‐En Lu, Kai Liu, Audrey Gallud   +3 more
wiley   +1 more source

Gas network value chain optimization considering compressor capacity constraints. [PDF]

PLoS One
Qiu J, Zhao L, Ning X, Yu D.
europepmc   +1 more source

A simple greedy approximation algorithm for the unit disk cover problem

, 2018
Mahdi Imanparast, Seyed Naser Hashemi
openalex   +2 more sources

Conductance‐Dependent Photoresponse in a Dynamic SrTiO3 Memristor for Biorealistic Computing

Advanced Functional Materials, EarlyView.
A nanoscale SrTiO3 memristor is shown to exhibit dynamic synaptic behavior through the interaction of local electrical and global optical signals. Its photoresponse depends quantitatively on the conductance state, which evolves and decays over tunable timescales, enabling ultralow‐power, biorealistic learning mechanisms for advanced in‐memory and ...
Christoph Weilenmann, Hanglin He, Marko Mladenović, Till Zellweger, Kevin Portner, Klemens Bauer, Guillaume Bellec, Mathieu Luisier, Alexandros Emboras   +8 more
wiley   +1 more source

A hybrid framework of hesitant fuzzy soft sets and rough sets for uncertainty modelling. [PDF]

Sci Rep
Jahanvi, Nishad DK, Singh R, Khalid S.
europepmc   +1 more source

Global Virtual Time Approximation with Distributed Termination Detection Algorithms

, 1991
Friedemann Mattern, A.A. Schoone, G. Tel
openalex   +1 more source

Selective Separation of the Rare Earth Elements Dysprosium and Neodymium via Tailoring Nanocellulose Chemical Structure

Advanced Functional Materials, EarlyView.
Dicarboxylate‐modified anionic hairy cellulose nanocrystals exhibit a high selectivity for dysprosium(III) over neodymium(III). This selectivity arises from disordered dicarboxylate cellulose “hairs” that enable cooperative ionic coordination, hydrogen bonding, and strain‐induced conformational shrinkage.
Roya Koshani, Shang‐Lin Yeh, Karuna Anna Sajeevan, Mica L. Pitcher, Dawson Alexander, Ratul Chowdhury, Amir Sheikhi   +6 more
wiley   +1 more source

A Wasserstein-Space-Based Framework for Processing Fiber Orientation Geometry in Diffusion MRI. [PDF]

IEEE Trans Med Imaging
Nie X, Shi Y.
europepmc   +1 more source