Results 111 to 120 of about 973,180 (337)
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani+4 more
wiley +1 more source
Fault tolerant hypercube computer system architecture [PDF]
A fault-tolerant multiprocessor computer system of the hypercube type comprising a hierarchy of computers of like kind which can be functionally substituted for one another as necessary is disclosed.
Chow, Edward, Madan, Herb S.
core +1 more source
Path Integral Description of a Semiclassical Su-Schrieffer-Heeger Model
The electron motion along a chain is described by a continuum version of the Su-Schrieffer-Heeger Hamiltonian in which phonon fields and electronic coordinates are mapped onto the time scale.
A.J. Heeger+25 more
core +1 more source
Laser surface texturing significantly improves the corrosion resistance and mechanical strength of 3D‐printed iron polylactic acid (Ir‐PLA) for marine applications. Optimal laser parameters reduce corrosion by 80% and enhance tensile strength by 25% and ductility by 15%.
Mohammad Rezayat+6 more
wiley +1 more source
Computing Resolution-Path Dependencies in Linear Time
The alternation of existential and universal quantifiers in a quantified boolean formula (QBF) generates dependencies among variables that must be respected when evaluating the formula. Dependency schemes provide a general framework for representing such
Slivovsky, Friedrich, Szeider, Stefan
core +1 more source
Direct Consolidation of Copper–Graphene Composite by Rotary Swaging
The applicability of the rotary swaging method for preparation of electroconductive copper–graphene composite by direct consolidation of powders is proven. The consolidated material features advantageous microstructure featuring fine grains and twins, with homogeneous distribution of graphene, primarily along the twin boundaries, which contribute to ...
Radim Kocich+2 more
wiley +1 more source
Patient‐specific brain phantoms can replace animal trials, aid presurgical training, and enable in silico disease research on cerebrospinal fluid and ventricles. This study presents a method to create ventricular brain phantoms from three‐dimensional magnetic resonance images brain scans, resulting in durable, tunable, reproducible models that mimic ...
Kajal Chandraprakash Jain+3 more
wiley +1 more source
Computing the Extinction Path for Epidemic Models
In infectious disease modelling, the expected time from endemicity to extinction (of infection) may be analysed via WKB approximation, a method with origins in mathematical physics. The method is very general, but its uptake to date may have been limited by the practical difficulties of implementation. It is necessary to compute a trajectory of a (high
Clancy, Damian, Stewart, John J. H.
openaire +3 more sources
The role of various alloying elements in face‐centered cubic aluminum on the barrier of a Shockley partial dislocation during its motion is presented. The study aims to understand how alloying atoms such as Mg, Si, and Zr affect the energy landscape for dislocation motion, thus influencing the solid solution hardening and softening in aluminum, which ...
Inna Plyushchay+3 more
wiley +1 more source
A new experimental setup, incorporating digital image correlation and infrared thermography in combination with inductive‐conductive heating for precise temperature control, is used to analyze the mechanical behavior and microstructural changes of sheet metal under complex thermomechanical test conditions that represent quench and partitioning ...
Christian Illgen+4 more
wiley +1 more source