Results 201 to 210 of about 84,478 (232)

Harnessing Machine Learning to Understand and Design Disordered Solids

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

Predicting Performance of Hall Effect Ion Source Using Machine Learning

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park   +8 more
wiley   +1 more source

Design Optimization of Soft Fabric Pneumatic Actuators

open access: yesAdvanced Intelligent Systems, EarlyView.
This study presents a systematic optimization framework for elongating and bending fabric‐based soft pneumatic actuators. After a preliminary design‐space reduction, the framework minimizes energy consumption under mechanical performance constraints by integrating validated finite element modeling with statistical surrogate models. Optimal designs were
Grigorios M. Chatziathanasiou   +2 more
wiley   +1 more source

Transforming Growth Factor-β1 gene polymorphism and osteoporosis in postmenopausal egyptian women

Cellular and Molecular Biology, 2017
Transforming growth factor-β1 (TGF-β1) is a wide spread bone matrix protein that affect the function, formation and cell-cell interactions of osteoclasts and osteoblasts to regulate bone remodeling and sustain adequate bone mass. The aim of this study is to evaluate the role of the two polymorphism of transforming growth factor-β1 T869C and C-509T ...
Inass M, Taha   +3 more
openaire   +2 more sources

Physiological Responses to a Natural Antioxidant Flavonoid Mixture, Silymarin, in BALB/c Mice: I Induction of Transforming Growth Factor β1 and c-myc in Liver with Marginal Effects on Other Genes

Planta Medica, 2002
Silymarin, a mixture of flavonolignans isolated from Silybum marianum, is known for its hepatoprotective properties. We investigated the expression of cytokines in mouse liver following treatment with 0, 10, 50, and 250 mg/kg of silymarin once daily for 5 days.
Quanren, He   +3 more
openaire   +2 more sources

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