Results 121 to 130 of about 264,049 (257)

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

Advanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang, Adrian Ehrenhofer, Thomas Wallmersperger   +2 more
wiley   +1 more source

The LHCb Stripping Project: Sustainable Legacy Data Processing for High-Energy Physics. [PDF]

Comput Softw Big Sci
Grieser NA, Rodrigues E, Sahoo N, Sheng S, Skidmore N, Smith M.   +5 more
europepmc   +1 more source

Hydrogen‐Assisted Fracture of Iron‐Based Fe–Ni–Al Alloys

Advanced Engineering Materials, EarlyView.
Principal relations and fracture mechanisms of single‐phase and precipitate‐strengthened Fe–Ni–Al alloys subjected to prior electrochemical hydrogen charging are identified. The mechanisms of hydrogen effect on strength and microhardness are discussed, including hydrogen‐induced increase in microhardness and the role of hydrogen in fracture behavior ...
Nataliya Yadzhak, Olha Zvirko, Rostyslav Leshchak, Hryhoriy Nykyforchyn   +3 more
wiley   +1 more source

Quantum information meets high-energy physics: input to the update of the European strategy for particle physics. [PDF]

Eur Phys J Plus
Afik Y, Fabbri F, Low M, Marzola L, Aguilar-Saavedra JA, Altakach MM, Asbah NA, Bai Y, Banks H, Barr AJ, Bernal A, Browder TE, Caban P, Casas JA, Cheng K, Déliot F, Demina R, Di Domenico A, Eckstein M, Fabbrichesi M, Fuks B, Gabrielli E, Gonçalves D, Grabarczyk R, Grossi M, Han T, Hobbs TJ, Horodecki P, Howarth J, Hsu SC, Jiggins S, Jones E, Jung AW, Knue AH, Korn S, Lagouri T, Lamba P, Landi GT, Li H, Li Q, Low I, Maltoni F, McFayden J, McGinnis N, Morales RA, Moreno JM, de Nova JRM, Negro G, Pagani D, Pelliccioli G, Pinamonti M, Pintucci L, Ravina B, Ruzi A, Sakurai K, Simpson E, Sioli M, Su S, Trifinopoulos S, Vahsen SE, Vallecorsa S, Vicini A, Vos M, Vryonidou E, White CD, White MJ, Wildridge AJ, Wu TA, Zani L, Zhang Y, Zoch K.   +70 more
europepmc   +1 more source

Fatigue Crack Initiation and Growth in Nanocrystalline Ni at Multiple Length‐Scales

Advanced Engineering Materials, EarlyView.
Overview of miniaturized in situ SEM fatigue setup and resultant fatigue crack growth data for nanocrystalline Ni. The presented study focuses on the analysis of fatigue crack growth rate (FCGR) in focused ion beam‐notched microcantilevers prepared from nanocrystalline (NC) Ni as a model material.
Igor Moravcik, Alexander Jelinek, Markus Alfreider, Jutta Luksch, Anton Hohenwarter, Florian Schaefer, Christian Motz, Daniel Kiener   +7 more
wiley   +1 more source

RETRACTION: Energy Loss of a Heavy Particle Near 3D Rotating Hairy Black Hole

Advances in High Energy Physics
Advances in High Energy Physics
doaj   +1 more source

Training and onboarding initiatives in high energy physics experiments. [PDF]

Front Big Data
Reinsvold Hall A, Skidmore N, Benelli G, Carlson B, David C, Davies J, Deconinck W, DeMuth D, Elmer P, Garg RB, Hageböck S, Lieret K, Lukashenko V, Malik S, Morris A, Schellman H, Stewart GA, Veatch J, Hernandez Villanueva M.   +18 more
europepmc   +1 more source

PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science

Advanced Engineering Materials, EarlyView.
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley   +1 more source

Data-driven discovery of Tsallis-like distribution using symbolic regression in high-energy physics. [PDF]

PNAS Nexus
Makke N, Chawla S.
europepmc   +1 more source

High‐Temperature Nanoindentation of Metals: Assessing Thermal Drift, Frame Compliance, and Chemical Composition Effects on the Reported Mechanical Properties

Advanced Engineering Materials, EarlyView.
Do not let thermal drift and instrument artifacts deceive high‐temperature nanoindentation results. We compare classical Oliver–Pharr and automatic image recognition analyses across steels and a Ni alloy to quantify these effects. Accounting for artifacts reveals systematic softening with temperature, while Cr and Ni additions boost resistance ...
Velislava Yonkova, Steffen Brinckmann, Ruth Schwaiger   +2 more
wiley   +1 more source