Results 41 to 50 of about 166,055,650 (169)

A Critical Assessment of Bonding Descriptors for Predicting Materials Properties

open access: yesAdvanced Intelligent Discovery, EarlyView.
The impact of new bonding descriptors in machine learning models for predicting material properties is assessed. Improvements are validated using significance tests, and new, intuitive descriptors for screening lattice thermal conductivity and projected force constants are introduced.
Aakash Ashok Naik   +6 more
wiley   +1 more source

Numerical studies of superfluids and superconductors [PDF]

open access: yes, 2001
In this thesis we demonstrate the power of the Gross-Pitaevskii and the time-dependent Ginzburg-Landau equations by numerically solving them for various fundamental problems related to superfluidity and superconductivity.
Winiecki, Thomas, Winiecki, T.
core  

Can the jamming transition be described using equilibrium statistical mechanics?

open access: yes, 2011
When materials such as foams or emulsions are compressed, they display solid behaviour above the so-called 'jamming' transition. Because compression is done out of equilibrium in the absence of thermal fluctuations, jamming appears as a new kind of a ...
Zamponi F, Jacquin H, Berthier L
core   +1 more source

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source

Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers

open access: yesAdvanced Intelligent Systems, EarlyView.
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica   +38 more
wiley   +1 more source

What is Statistical Mechanics? [PDF]

open access: yes, 2012
Thermodynamics describes a large class of phenomena we observe in macroscopic systems. The aim of statistical mechanics is to account for this behaviour in terms of the dynamical laws governing the microscopic constituents of macroscopic systems and ...
Frigg, Roman
core  

Statistical mechanics of multi-index matching problems with site disorder [PDF]

open access: yes, 2006
We study the statistical mechanics of multi-index matching problems where the quenched disorder is a geometric site disorder rather than a link disorder.
Dean, D.S., Lancaster, D.J.
core   +1 more source

Experimental Analysis of the Shot Peening Particle Stream Using Particle Tracking and Digital Image Correlation Techniques [PDF]

open access: yes, 2020
The conventional air pressure shot peening process consists of multiple impacts of particles propelled with pressurized air through a nozzle at the surface of mechanical components.
KUBLER, R.F.   +6 more
core   +1 more source

Two‐Dimensional van der Waals Antiferromagnets: Fabrication, Probes, Control, and Applications

open access: yesAdvanced Physics Research, EarlyView.
Two‐dimensional van der Waals antiferromagnets are emerging as versatile platforms for spintronic, optoelectronic, and quantum devices. This review summarizes recent progress in their fabrication, magnetic characterization, fields, interfacial engineering, chemical modification, and representative applications.
Huangyu Wu   +10 more
wiley   +1 more source

Engineering Halide Perovskites With Chalcogen‐Based Compounds: Insights Into Stability, Interfaces, and Device Integration

open access: yesCarbon Energy, EarlyView.
Chalcogen‐based compounds are explored as versatile tools to enhance the stability and performance of halide perovskites. Their roles in defect passivation, ion migration suppression, and interface engineering are analyzed, along with impacts on device efficiency.
Atanu Jana   +4 more
wiley   +1 more source

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