Results 131 to 140 of about 9,859 (300)

A proposed environmental assessment tool for concrete batching plant

open access: yes, 2010
This study was conducted to develop an environmental assessment tool and evaluate the environmental performance of concrete batching plants. A survey of 32 concrete batching plants was reported.
Cruz, Jaime Jose T.   +2 more
core  

Supporting AI Readiness Through Digital Workflows in Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
Digitalization drives innovation in materials science by connecting data silos and turning heterogeneous processes into reusable research pipelines. Across 13 MaterialDigital projects, digital workflows reveal complementary pathways toward AI‐ready materials research, founded on structured data, persistent artifacts, executable orchestration, and ...
Marian Bruns   +67 more
wiley   +1 more source

FastNano Liquid: An Automated Platform for Small‐Angle X‐ray Scattering‐Based Materials Discovery

open access: yesAdvanced Engineering Materials, EarlyView.
We present FastNano Liquid, an automated small‐ and wide‐angle X‐ray scattering platform for the combined synthesis and characterization of (nano)materials. The platform is coupled to varied reactor workflows for both in situ studies of reaction kinetics and ex situ screening of synthesis conditions to support machine learning‐guided exploration ...
Pierre‐Baptiste Flandrin   +16 more
wiley   +1 more source

Central Batching Plant

open access: yes, 1946
Caption says, "5-AL-409. Specifications No. 1179. View of central batching plant assembled by Stebbins Construction Company at Blair, Oklahoma.
Reynolds, R. M.
core  

Enhancement of the Through‐Thickness Electrical Conductivity of Carbon‐Fiber‐Reinforced Plastics Using Large Graphite Particles

open access: yesAdvanced Engineering Materials, EarlyView.
To enhance through‐thickness conductivity without sacrificing impregnation, large spherical graphite particles are intentionally employed in a low‐viscosity resin. Unlike finer conductive fillers, these particles remain outside the fiber bundles and accumulate in resin‐rich interlaminar regions during molding.
Keito Hosoe   +6 more
wiley   +1 more source

Hybrid artificial immune system and simulated annealing algorithms for solving hybrid JIT flow shop with parallel batches and machine eligibility

open access: yesInternational Journal of Industrial Engineering and Production Research, 2017
This research deals with a hybrid flow shop scheduling problem with parallel batching, machine eligibility, unrelated parallel machine, and different release dates to minimize the sum of the total weighted earliness and tardiness (ET) penalties.
Javad Rezaeian, Masoud Shafipour
doaj  

Detecting Anomalous Cell Behavior in Electrochemical Battery Testing Using Machine Learning

open access: yesAdvanced Engineering Materials, EarlyView.
Machine‐learning‐based screening enables automated identification of anomalous battery cells from complementary electrochemical tests. A curated battery database supports configuration‐aware comparison of rate‐capability and impedance data. Supervised classification of rate‐test data achieves 90% accuracy, while CNN‐VAE‐based impedance analysis reaches
Minu Rose   +7 more
wiley   +1 more source

Batching and Scheduling with Tardiness Penalties

open access: yes, 2009
International audienceIn this paper, we address batching and scheduling a single production system minimizing tardiness penalties. We define the optimal batching problem and scheduling problem, which is an integrated lot-splitting and scheduling problem.
Chrétienne, Philippe   +2 more
core   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

open access: yesAdvanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone   +11 more
wiley   +1 more source

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