Results 51 to 60 of about 5,492,957 (246)
Physics‐Guided Descriptors Enable Data‐Efficient Prediction of Battery Coulombic Efficiency
Advanced Science, EarlyView.This work integrates multiscale simulations with data‐driven approaches to predict Coulombic efficiency (CE). Multiscale simulations of battery systems are performed to extract Physics‐Guided descriptors and construct a dataset. Machine learning models trained on this dataset are then subjected to interpretable analysis to identify the most influential
Qintao Sun +9 more
wiley +1 more source
Liquefaction susceptibility assessment in fluvial plains using airborne lidar: the case of the 2012 Emilia earthquake sequence area (Italy) [PDF]
Natural Hazards and Earth System Sciences, 2015 We report a case study from the Po River plain region (northern Italy), where significant liquefaction-related land and property damage occurred during the 2012 Emilia seismic sequence.
R. Civico +5 more
doaj +1 more source
, 2023 Liquefaction-induced long run-out landslide in Turnagain Heights Anchorage, Alaska generated by the 1964 Great Alaskan Earthquake.
Alexander Kholodov (11617072) +4 more
core +1 more source
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 +3 more
wiley +1 more source
Liquefaction hazard mapping of the south-central coastal areas of Bangladesh
Natural Hazards ResearchLiquefaction can cause significant damage to the built environment; therefore, assessing the liquefaction hazard in a seismically active region is essential to minimize the risk.
ASM Maksud Kamal +4 more
doaj +1 more source
Estimating liquefaction induced ground settlements from CPT for level ground
, 2002 : An integrated approach to estimate liquefaction-induced ground settlements using CPT data for sites with level ground is presented. The approach combines an existing CPT-based method to estimate liquefaction resistance with laboratory test results on ...
Robertson, P. K. +2 more
core +1 more source
Asia-Pacific Journal of Chemical Engineering, EarlyView.ABSTRACT Carbon capture technologies are poised to become one of the primary focuses regarding the achievement of net‐zero emissions by the year 2050. In these technologies, particular attention is given to post‐combustion CO2 capture, which is more easily implemented at existing power stations and other industries.
Satyajit Mukherjee +3 more
wiley +1 more source
Doğal Afetler ve Çevre Dergisi, 2020 This study includes the investigation of the liquefaction potential of Seferihisar (İzmir) district alluvial soil deposits under possible earthquakes according to Turkey Building Earthquake Regulation (TBER).
Seda Durukan, Ezgi Akbuğa
doaj +1 more source
Sandy Soil Liquefaction Prediction Based on Clustering-Binary Tree Neural Network Algorithm Model
Advances in Civil Engineering, 2021 The neural network algorithm is a small sample machine learning method built on the statistical learning theory and the lowest structural risk principle.
Yu Wang, Jiachen Wang
doaj +1 more source
Risk-based liquefaction potential evaluation using standard penetration tests
, 2000 In this paper, a new approach is presented for developing a liquefaction limit state function, which defines a boundary that separates liquefaction from no-liquefaction occurrence.
Tao Jiang +3 more
core +1 more source