Results 71 to 80 of about 8,116 (238)

AI‐Driven Rational Design of Nanotherapeutics for Pancreatic Ductal Adenocarcinoma

Medicinal Research Reviews, EarlyView.
ABSTRACT Pancreatic ductal adenocarcinoma (PDAC) remains a formidable malignancy characterized by late diagnosis, high recurrence rates, and pronounced chemoresistance. While nanoparticle‐based drug delivery systems (NDDS) offer theoretical advantages over conventional therapies, their clinical translation in PDAC has been severely limited.
Seohyun Choo, Kaeun Chae, Jueun Lee, Inseon Kim, Seunghun S. Lee   +4 more
wiley   +1 more source

An Adaptive Weight Physics-Informed Neural Network for Vortex-Induced Vibration Problems

Buildings
Vortex-induced vibration (VIV) is a common fluid–structure interaction phenomenon in practical engineering with significant research value. Traditional methods to solve VIV issues include experimental studies and numerical simulations.
Ping Zhu, Zhonglin Liu, Ziqing Xu, Junxue Lv   +3 more
doaj   +1 more source

A Physics‐Informed Koopman Operator Framework for Decentralized Discrete‐Time Sequential Control of a Modular Aerial Parcel Delivery Robot

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT This paper presents a Physics‐Informed Koopman Operator (PIKO) framework integrated with a discrete‐time Sequential Action Control (SAC) for real‐time, decentralized control of a modular aerial parcel delivery robot composed of multiple independently actuated propeller modules.
Archit Krishna Kamath, Peng Shi, Ramesh K. Agarwal   +2 more
wiley   +1 more source

Physics–Informed Neural Network With Enhanced Parameter–State Coupling for Inverse Modeling of Unsaturated Flow in Heterogeneous Soils

Water Resources Research
Modeling unsaturated flow remains challenging due to the interplay of uncertain atmospheric forcing, parameter heterogeneity, and sparse observations.
Xuezi Gong, Yuanyuan Zha
doaj   +1 more source

Similarity‐Driven Framework for Efficient Polymer Property Prediction Under Data Scarcity Scenarios

Journal of Polymer Science, EarlyView.
A new approach, based on structural and chemical similarities between polymers, is proposed to improve the performance of artificial neural networks in predicting the glass transition temperature under data‐scarce conditions. ABSTRACT Predicting polymer properties directly from chemical structure is essential for the rational design of advanced ...
Amaia Elizaran Mendarte, Gustavo A. Schwartz   +1 more
wiley   +1 more source

Australia's call to arms! : patriotic song /

, 1914
For voice and piano.; "Dedicated to Earl Kitchener."; "Proceeds of sale of this song are to be given to the sufferers through the war, and any money obtained by the performance of same will be handed to the Patriotic Funds of the state in which it is ...
Power-Pinn, E., composer.
core  

MRF-PINN: A Multi-Receptive-Field convolutional physics-informed neural network for solving partial differential equations [PDF]

, 2022
Compared with conventional numerical approaches to solving partial differential equations (PDEs), physics-informed neural networks (PINN) have manifested the capability to save development effort and computational cost, especially in scenarios of ...
Zhang, Shihong, Wang, Bosen, Zhang, Chi
core  

Artificial Intelligence for Blue Transformation: A Review of Predictive Modeling and Decision Support Systems in Sustainable Aquaculture

Sustainable Development, EarlyView.
ABSTRACT The FAO's “blue transformation” roadmap necessitates a fundamental shift towards precision aquaculture to meet global food security targets while minimizing environmental footprints. This review provides a comprehensive overview of how artificial intelligence (AI) and decision support systems (DSS) serve as pivotal enablers for the “better ...
Mustafa Öz, Enes Üstüner
wiley   +1 more source

Generación de videos educativos: experiencias en los contextos universitario y escolar [PDF]

Libro de actas del encuentro del mismo título realizado el 10/04/2024 en la Facultad de Formación del Profesorado y Educación de la Universidad de Oviedo.Encuentro desarrollado en el marco de los proyectos de innovación docente Didactictac TV (códigos ...

core  

Integral Regularization PINNs for Evolution Equations

Communications in Computational Physics
Evolution equations, including both ordinary differential equations (ODEs) and partial differential equations (PDEs), play a pivotal role in modeling dynamic systems. However, achieving accurate long-time integration for these equations remains a significant challenge.
Xiaodong Feng, Haojiong Shangguan, Tao Tang, Xiaoliang Wan   +3 more
openaire   +3 more sources