Results 91 to 100 of about 760,204 (336)

Antioxidant Activity and Oxidative Stability of Flaxseed and Its Processed Products: A Review

Sci
Flaxseed (Linum usitatissimum) is one of the most important crops worldwide due to its nutritional and functional properties. Given the diversity of flax and its processed products, this review aimed to systematize and analyze data on their antioxidant ...
Yuliya Frolova, Roman Sobolev, Alla Kochetkova   +2 more
doaj   +1 more source

The Inertia Coefficients of an Airship in a Frictionless Fluid [PDF]

The apparent inertia of an airship hull is examined. The exact solution of the aerodynamical problem is studied for hulls of various shapes with special attention given to the case of an ellipsoidal hull.
Bateman, H.
core   +1 more source

Design for flexibility: An adjustable robust optimization approach with decision‐dependent uncertainty

AIChE Journal, EarlyView.
ABSTRACT Flexibility is a crucial characteristic of industrial systems that face increasing volatilities and is therefore essential to ensure feasible operation under uncertainty. Flexibility is often closely tied to the design of a system, and careful consideration must be taken to understand the trade‐off between design cost and operational ...
Jnana Sai Jagana, Sreekanth Rajagopalan, Satyajith Amaran, Qi Zhang   +3 more
wiley   +1 more source

Universally Accurate or Specifically Inadequate? Stress‐Testing General Purpose Machine Learning Interatomic Potentials

Advanced Intelligent Discovery, EarlyView.
We investigate MACE‐MP‐0 and M3GNet, two general‐purpose machine learning potentials, in materials discovery and find that both generally yield reliable predictions. At the same time, both potentials show a bias towards overstabilizing high energy metastable states. We deduce a metric to quantify when these potentials are safe to use.
Konstantin S. Jakob, Karsten Reuter, Johannes T. Margraf   +2 more
wiley   +1 more source

Effect of Rhizobium Leguminosarum Inoculum, Rice Hulls, and Urea Fertilizer on the Availability of Phosphorous and Potassium for the Growth and Yield of Broad Bean (Vicia faba L.)

, 2022
Saja Nadhim Hussein, Jawad Abdul Kadhim Kamal   +1 more
openalex   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Design of a System for Checking Paint Results on the Ship's Hull to Prevent corrosion

The Spirit of Society Journal: International Journal of Society Development and Engagement
Corrosion is damage caused by chemical reactions between metal materials and other natural elements and is destructive to metal. Corrosion is a weakness in ships made of steel, namely because the rate of ship corrosion, fatigue life is reduced, tensile ...
M. Basuki Rahmat, Dianita Wardani, Agus Khumaidi, Ratna Budiawati, Sri Wiwoho Mudjanarko   +4 more
doaj   +1 more source

Macrophage Phenotype Detection Methodology on Textured Surfaces via Nuclear Morphology Using Machine Learning

Advanced Intelligent Discovery, EarlyView.
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi, Kateryna Andriienkova, Tetyana Goldanova, Ezgi Antmen, Thibaut Soubrie, Nihal Engin Vrana   +5 more
wiley   +1 more source

IRIS - An Innovative Inspection System for Maritime Hull Structures [PDF]

, 2015
M Wilken, Christian Cabos, Dirk Baumbach, M. Buder, André Choinowski, Denis Grießbach, Sergei Zuev, D Grießbach, S Zuev   +8 more
openalex   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source