Results 101 to 110 of about 118,709 (256)

System monitoring data

open access: yes, 2019
This dataset contains the monitoring information in TeSLA systems.
TeSLA Consortium   +1 more
core   +1 more source

Battery Electrode Engineering Enables Fast Charging LMFP Cells Without Carbon‐Coated Foil

open access: yesAdvanced Science, EarlyView.
Slow charging inhibits the widespread adoption of electric vehicles, particularly for LMFP, a new low‐cost, high‐energy battery material. In this work, the authors report on electrode engineering approaches (optimized press density and current collector foil priming) to increase energy density and reduce LMFP charge time to just 16 min (10%–80% SOC ...
Rebecca Sellers   +6 more
wiley   +1 more source

Daftar isi TESLA Vol 26 No.2 OKTOBER 2024

open access: yes
Daftar isi TESLA Vol 26 No.2 OKTOBER ...
Daftar isi TESLA Vol 26 No.2 OKTOBER 2024
core   +1 more source

Multi-objective Truss Optimization Using Different Types of the BB-BC Algorithm

open access: yesMATEC Web of Conferences, 2016
Optimum design of truss structures is considered as a benchmark problem in the field of the structural optimization. In order to solve this hard combinatorial problem, it is necessary to implement adequate optimization tool that would provide ...
Milajić Aleksandar, Beljaković Dejan
doaj   +1 more source

Fully Recyclable Printed Magnetoresistive Sensors Covering Broad Operational Ranges for Sustainable Interactive Electronics

open access: yesAdvanced Electronic Materials, EarlyView.
This work presents a sustainable printing and recycling strategy for magnetic sensors designed for IoT applications. By combining solvent‐orthogonal binders with tailored magnetic fillers, the sensors achieve tunable sensitivity across low to high magnetic field ranges.
Rui Xu   +6 more
wiley   +1 more source

From Top to Bottom: Manufacturing Process‐Context Aware Resolution of Energy Device Electrodes Through a 3D Diffusion Generative Model

open access: yesAdvanced Energy Materials, EarlyView.
The application of a generative diffusion model, enhanced with a training data augmentation pipeline retaining the manufacturing process context of electrode microstructures, leads to improved fidelity of the through‐plane tortuosity factor in the AI generated samples.
Victor Ramirez‐Camacho   +5 more
wiley   +1 more source

Weather Attention in Online Discourse and Price Uncertainty in Agricultural Futures Markets

open access: yesAgribusiness, EarlyView.
ABSTRACT Weather is a central determinant of production risk in agricultural markets, but markets respond not only to weather conditions themselves, but also to how those conditions are noticed, framed, and interpreted in public discourse. In this setting, real‐time online weather discussions may shape price uncertainty by influencing how market ...
Mario A. Ortez   +3 more
wiley   +1 more source

Current Status and Challenges of Imaging‐Based Diagnosis of Lymph Node Metastasis in Colon Cancer: The Lymph Node Committee of the Japanese Society for Cancer of the Colon and Rectum

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
This review of the status and challenges of diagnosis of lymph node metastasis in colon cancer suggests that it is currently difficult to establish strict criteria for lymph node metastasis, indicating only moderate diagnostic performance. ABSTRACT Background Accurate pre‐treatment evaluation of lymph node metastasis (LNM) in colon cancer is important ...
Shimpei Ogawa   +4 more
wiley   +1 more source

Tesla

open access: yes, 2011
Thomas J. (Tom) King is the Director of the Energy Efficiency and Electricity Program at Oak Ridge National Laboratory (ORNL) Tom is responsible for leading, coordinating and implementing ORNL's research and development portfolio of projects conducted ...
Lomangino, Paul F.   +2 more
core   +1 more source

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

open access: yesAdvanced 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

Home - About - Disclaimer - Privacy