Results 131 to 140 of about 30,075 (285)
Phase Transitions of Cellular Automata
, 2014 We explore some aspects of phase transitions in cellular automata. We start recalling the standard formulation of statistical mechanics of discrete systems (Ising model), illustrating the Monte Carlo approach as Markov chains and stochastic processes. We
Bagnoli, Franco, Rechtman, Raul
core
Emergent structure and dynamics of tropical forest-grassland landscapes. [PDF]
Proc Natl Acad Sci U S A, 2023 Wuyts B, Sieber J.
europepmc +1 more source
Advanced Science, EarlyView.Real‐time NMR spectroscopy is used to study JNK1‐dependent phosphorylation of the intrinsically disordered substrate JIP1, revealing eleven phosphosites with distinct phosphorylation efficiencies. The site‐specific phosphorylation rates are shown to be determined by both the sequence position of the phosphosites relative to the two kinase docking site ...
Thibault Orand +7 more
wiley +1 more source
Advanced Science, EarlyView.This review highlights advances in soil organic carbon (SOC) quantification using remote sensing, proximal soil sensing, AI (ML and DL), and biogeochemical modelling. Integrating diverse data sources and models improves SOC prediction accuracy. Key priorities include enhancing data availability, refining models, incorporating microbial processes, and ...
Zijuan Ding +16 more
wiley +1 more source
Multi‐Omics and ‐Organ Insights into Energy Metabolic Adaptations in Early Sepsis Onset
Advanced Science, EarlyView.This study shows that patients at risk of sepsis have a distinct metabolite and lipid signature, including serine and aminoadipic acid, in their serum before clinical diagnosis. A mouse model of sepsis with a compatible serum signature reveals underlying metabolic changes, including mitochondrial adaptation, altered serine‐dependent purine metabolism ...
Lin‐Lin Xu +9 more
wiley +1 more source
Advanced Science, EarlyView.The electrophoretic reorganization of Ag nanoparticles within a poly(ethylene glycol) leads to the formation of conductive bridges with reconfigurable resistance states. Diverse conduction characteristics of the bridge range between ohmic conduction, nonlinear tunneling, or space charge‐limited conduction, and high resistance states.
Daniil Nikitin +19 more
wiley +1 more source
Enhancing Solid Oxide Fuel Cells Development through Bayesian Active Learning
Advanced Energy Materials, EarlyView.This article presents an active learning approach using Bayesian optimization to calibrate the multiphase‐field model parameters for simulating the aging of Ni‐GDC anodes in SOFCs. By integrating experimental data and navigating through complex parameter spaces, it enhances predictive accuracy and provides insights into microstructural evolution ...
R. K. Jeela +6 more
wiley +1 more source
ProtNet: a tool for stochastic simulations of protein interaction networks dynamics
BMC Bioinformatics, 2007 Background Protein interactions support cell organization and mediate its response to any specific stimulus. Recent technological advances have produced large data-sets that aim at describing the cell interactome.
Bernaschi Massimo +5 more
doaj +1 more source
Evaluation of Austenite-Ferrite Phase Transformation in Carbon Steel Using Bayesian Optimized Cellular Automaton Simulation. [PDF]
Materials (Basel), 2023 Sun F +5 more
europepmc +1 more source
Designing Memristive Materials for Artificial Dynamic Intelligence
Advanced Intelligent Discovery, EarlyView.Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley +1 more source