Results 171 to 180 of about 7,593,003 (291)

Nanocrystalline LCO/LLZO Composite Cathode Films for Solid State Batteries

Advanced Energy Materials, EarlyView.
A single precursor solution is solution‐deposited and calcined at only 750°C to yield a dense, nanograined LiCoO2/LLZO composite cathode, in which both phases crystallize independently with minimal interdiffusion. Assembled into all‐solid‐state Li‐metal batteries, the composite delivers 111.7 mAh g−1 initial discharge capacity and retains 93% after 100
Lucie Quincke, Steffen Weinmann, Jesse J. Hinricher, Matteo Galasso, Chiara Althammer, Fran Kurnia, Kun Joong Kim, Wolff‐Ragnar Kiebach, Jennifer L. M. Rupp   +8 more
wiley   +1 more source

A two stage statistical framework for cold start spare part demand forecasting. [PDF]

PLoS One
B SN, B VSR, Sastry C C, Salunkhe S, Cep R, Jitpichitchai S.   +5 more
europepmc   +1 more source

Blood‐Based Biomarkers in Alzheimer's Disease: Advances in Detection Technologies and Clinical Applications

AGING MEDICINE, EarlyView.
Blood‐based biomarkers are emerging as accessible tools for Alzheimer's disease screening, diagnosis, risk stratification, and longitudinal monitoring. This review summarizes major biomarkers, including Aβ42/Aβ40, phosphorylated tau species, NfL, GFAP, genetic risk markers, and exploratory inflammatory, synaptic, and proteomic candidates.
Shuangshuang Li, Lin Huang, Qihao Guo
wiley   +1 more source

Threshold-Aware Link-Graph Compression with Per-Sensor Observed-Packet Coverage Constraints and Temporal Robustness in Urban LoRaWAN Networks. [PDF]

Sensors (Basel)
Osadchyi V, Bondarchuk A, Bondarenko O, Pyroh M, Kryvolapov H, Kryvolapov Y.   +5 more
europepmc   +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

EdgeOpt-Sched-CS: Cold-Start-Aware Dynamic Scheduling for Efficient DNN Inference at the Edge. [PDF]

Sensors (Basel)
Gu Y, Zhang D, Lu T.
europepmc   +1 more source

Process‐informed co‐optimization of liquid air energy storage and data centers under off‐design thermodynamic operation

AIChE Journal, EarlyView.
Abstract The rapid growth of AI data centers (AIDCs) is intensifying stress on power systems and exposing operators to volatile electricity markets. This work develops a process‐informed co‐optimization framework that integrates liquid air energy storage (LAES) with AIDC operation. Unlike black‐box storage models, the proposed formulation captures LAES
Zhicong Fang, Xiaopo Cheng, Hui Geng, Jiaze Ma   +3 more
wiley   +1 more source

Uncertainty-Calibrated Collaborative Filtering via Heteroscedastic Bayesian Neural Networks. [PDF]

Entropy (Basel)
Wang X.
europepmc   +1 more source

Development and experimental validation of a predictive resilient framework for cyber‐physical systems

AIChE Journal, EarlyView.
Abstract Cyber‐physical process systems integrate process dynamics, control, sensing, actuation, and communication, making them vulnerable to attacks that falsify data, alter control actions, or disrupt networks and drive operations toward unsafe states.
Luyang Liu, Ritu Ranjan, Zaman Sajid, Benjamin Wilhite, Costas Kravaris, Faisal Khan   +5 more
wiley   +1 more source

A Method for Estimating Gaseous Emissions in Multistory Car Parks, Based on Scenarios and Particularities: MB-UPT Case Study. [PDF]

Toxics
Tokar A, Bisorca D, Tokar D, Muntean D, Tokar AM.   +4 more
europepmc   +1 more source