Results 101 to 110 of about 6,731 (206)

Genuine quantum scars in many-body spin systems. [PDF]

Nat Commun
Pizzi A, Kwan LH, Evrard B, Dag CB, Knolle J.   +4 more
europepmc   +1 more source

Multi‐Property Machine Learning Models to Accelerate the Transition Toward Bio‐Based Emulsion Polymers

Advanced Intelligent Discovery, EarlyView.
A machine learning framework simultaneously predicts four critical properties of monomers for emulsion polymerization: propagation rate constant, reactivity ratios, glass transition temperature, and water solubility. These tools can be used to systematically identify viable bio‐based monomer pairs as replacements for conventional formulations, with ...
Kiarash Farajzadehahary, Nicholas Ballard   +1 more
wiley   +1 more source

Positronium Atoms Solvated in Liquid Alcohols: A Multicomponent Quantum Mechanics/Molecular Mechanics Approach. [PDF]

J Phys Chem B
Martins L, Bergami M, Charry J, Reyes A, Coutinho K, Varella MTDN.   +5 more
europepmc   +1 more source

Exact Soliton-Breather Theory for the Classical Statistical Mechanics of the Massive-Thirring=Sine-Gordon Model : Condensed Matter and Statistical Physics

, 1993
Chung S.G.
semanticscholar   +1 more source

Predicting Materials Thermodynamics Enabled by Large Language Model‐Driven Dataset Building and Machine Learning

Advanced Intelligent Systems, EarlyView.
Illustration of text data mining of rare earth mineral thermodynamic parameters with the large language model‐powered LMExt. A dataset is built with mined thermodynamic properties. Subsequently, a machine learning model is trained to predict formation enthalpy from the dataset.
Juejing Liu, Haydn Anderson, Noah I. Waxman, Vsevolod Kovalev, Byron Fisher, Elizabeth Li, Xiaofeng Guo   +6 more
wiley   +1 more source

Role of Structural Changes at Vitrification and Glass-Liquid Transition. [PDF]

Materials (Basel)
Ojovan MI, Louzguine-Luzgin DV.
europepmc   +1 more source

Feature Disentangling and Combination Implemented by Spin–Orbit Torque Magnetic Tunnel Junctions

Advanced Intelligent Systems, EarlyView.
Spin–orbit torque magnetic tunnel junctions (SOT‐MTJs) enable efficient feature disentangling and integration in image data. A proposed algorithm leverages SOT‐MTJs as true random number generators to disentangle and recombine features in real time, with experimental validation on emoji and facial datasets.
Xiaohan Li, Yingqian Xu, Caihua Wan, Ran Zhang, Meike Hindenberg, Raik Hoffmann, Shiqiang Liu, Tianyi Zhang, Shilong Xiong, Dehao Kong, Jihao Xia, Fangshuo Gao, Zhuyang Nie, Thomas Kämpfe, Guoqiang Yu, Xiufeng Han   +15 more
wiley   +1 more source

Interactive effects of pulmonary pathologies and ventilation modes driving heterogeneous and anisotropic regional strain mechanics. [PDF]

Sci Rep
Nelson TM, Quiros KAM, Eskandari M.
europepmc   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

Advanced Intelligent Systems, EarlyView.
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, Vitalii Kapitan, Andrey Ustyuzhanin   +2 more
wiley   +1 more source

Violations of Hyperscaling in Phase Transitions and Critical Phenomena-In Memory of Prof. Ralph Kenna. [PDF]

Entropy (Basel)
Berche B, Holovatch Y.
europepmc   +1 more source