Results 111 to 120 of about 75,077 (201)
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy +2 more
wiley +1 more source
Maximum Entropy Estimates of Hubble Constant from Planck Measurements. [PDF]
Knobles DP, Westling MF.
europepmc +1 more source
ResearchConnect is an AI‐powered platform that automates researcher profiling, interdisciplinary team formation, and early‐stage research ideation. By extracting keywords from papers and web sources, it quickly clusters researchers into coherent teams and generates collaborative ideas using large language models. Validation on NSF‐funded projects shows
Akshay Vilas Jadhav +2 more
wiley +1 more source
Dipole-induced transition in 3 dimensions. [PDF]
Procaccia I, Samanta T.
europepmc +1 more source
Objective Cerebral ischemic stroke causes neuronal oxygen/energy deprivation, disrupting mitochondrial function including reduced membrane potential and bioenergetics, exacerbating neuronal injury. Mitochondrial defects are, therefore, a central neuropathological node and potential therapeutic target.
Ning Bian +9 more
wiley +1 more source
Genuine quantum scars in many-body spin systems. [PDF]
Pizzi A +4 more
europepmc +1 more source
Role of Structural Changes at Vitrification and Glass-Liquid Transition. [PDF]
Ojovan MI, Louzguine-Luzgin DV.
europepmc +1 more source
Positronium Atoms Solvated in Liquid Alcohols: A Multicomponent Quantum Mechanics/Molecular Mechanics Approach. [PDF]
Martins L +5 more
europepmc +1 more source
Magnetic hysteresis experiments performed on quantum annealers. [PDF]
Pelofske E +3 more
europepmc +1 more source
Tuning nuclear rheology through transient chromatin cross-links. [PDF]
Zhang YD +7 more
europepmc +1 more source

