Results 151 to 160 of about 3,213,697 (283)

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

Machine learning driven many‐objective moving horizon scheduling optimization

AIChE Journal, EarlyView.
Abstract Industrial electrification can decarbonize chemical manufacturing, but it exposes operations to volatile electricity prices and carbon intensities. This work develops a machine learning‐enhanced many‐objective moving horizon scheduling framework that predicts objective correlation groupings from 48‐hour price and emission‐intensity profiles ...
Hongxuan Wang, Andrew Allman
wiley   +1 more source

Abrasive flow machining the aluminium alloys

, 2015
Сысоева Любовь Петровна. Старший преподаватель кафедры " Технология машиностроения", Сибирский государственный университет имени академика М. Ф. Решетникова, г. Красноярск, susoeva.tms@mail.ru. L.P.
Сысоева, Л. П., Sysoeva, L. P.
core  

Holistic insight mechanism of abrasive water jet machining on surface characteristics and dimensional accuracy of Al2017A alloy hybrid composites. [PDF]

Sci Rep
Ravindran S, Mubarak NM, Anbuchezhiyan G, Vignesh M.   +3 more
europepmc   +1 more source

DeepMapper: Attention‐Based AutoEncoder for System Identification in Wound Healing and Stage Prediction

Advanced Intelligent Discovery, EarlyView.
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu, Ksenia Zlobina, Michael Briden, Oscar Avalos, Héctor Carrión, Sebastian Osorio, Hsin‐ya Yang, Alexandra Nava, Michelle D. Bagood, Marco Rolandi, Roslyn Rivkah Isseroff, Marcella Gomez   +11 more
wiley   +1 more source

Study on abrasive water jet machining of compacted graphite iron on Taguchi method. [PDF]

Sci Rep
Kütükde K.
europepmc   +1 more source

Autonomous AI‐Driven Design for Skin Product Formulations

Advanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang, Yongrui Xiao, Chunlin Chen, Dimitrios Tsaoulidis, Kai Yang, Tao Chen   +5 more
wiley   +1 more source

Bio-Inspired Optimization of AWJM Parameters for Enhanced Machining of Glass and Carbon Fiber-Reinforced Composites. [PDF]

ACS Omega
Alrasheed MRA.
europepmc   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

Optimization of Magnetic Abrasive Finishing Parameters for Co-Cr Alloy Vascular Stent Tubing Using PSO-SVM. [PDF]

Micromachines (Basel)
Xing K, Zhao Y, Fan Q, Guo L, Qi Z, Ma K, Chen G.   +6 more
europepmc   +1 more source