Results 131 to 140 of about 691,640 (219)

Diels-Alder reaction affords circumpyrene tetracarboxydiimide with excited state intramolecular charge transfer character. [PDF]

Commun Chem
Chen Q, Guizzardi M, Méndez F, Ju C, Keller HR, Cerullo G, Osella S, Scotognella F, Paternò GM, Müllen K, Narita A.   +10 more
europepmc   +1 more source

Dataset on broadband electrochemical impedance spectroscopy of Lithium-Ion batteries for different values of the state-of-charge. [PDF]

Data Brief, 2022
Buchicchio E, De Angelis A, Santoni F, Carbone P, Bianconi F, Smeraldi F.   +5 more
europepmc   +1 more source

Anticorrosive Performance of Smart Epoxy Coatings With Poly(urea‐formaldehyde) Microcapsules Filled With 5‐Ethylidene‐2‐norbornene

Advanced Engineering Materials, EarlyView.
PUF/ENB microcapsules were synthesized based on a sequential factorial design and incorporated into an epoxy matrix. Their anticorrosive action, associated with the self‐healing mechanism, demonstrated that the addition of microcapsules to the coating improved anticorrosive performance compared to pure epoxy coatings, particularly when the encapsulate ...
Vandicleya Alves Moreira, Maria Paula de Carvalho Freire, Ygor Matheus Pereira de Paula, Ana Leticia Santos, Alice da Costa Silva, Nicolau Apoena Castro, Maria Carolina Burgos Costa   +6 more
wiley   +1 more source

An integrated method for state of charge estimation, lifetime prediction, and reliability assessment of Lithium-ion batteries under thermal and dynamic conditions. [PDF]

PLoS One
Mobasheri P, Aranizadeh A, Vahidi B.
europepmc   +1 more source

State-of-Charge Estimation for Lithium-Ion Batteries Using Residual Convolutional Neural Networks. [PDF]

Sensors (Basel), 2022
Wang YC, Shao NC, Chen GW, Hsu WS, Wu SC.   +4 more
europepmc   +1 more source

Detecting Anomalous Cell Behavior in Electrochemical Battery Testing Using Machine Learning

Advanced 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, Sanxchep Sharma, Veit Königer, Vincent Nebel, Jonas Oehm, Christian Weisenberger, Laura Bies, Volker Knoblauch   +7 more
wiley   +1 more source

Excited-state intramolecular charge transfer dynamics in 4-methoxy-4'-nitrostilbene: excitation wavelength and solvent dependence. [PDF]

RSC Adv
Mitra PK, R S, Lakshmanna YA.
europepmc   +1 more source

State of Charge Estimation of Lithium-Ion Batteries Based on an Adaptive Iterative Extended Kalman Filter for AUVs. [PDF]

Sensors (Basel), 2022
Fu Y, Zhai B, Shi Z, Liang J, Peng Z.
europepmc   +1 more source

Enhancing Low‐Temperature Performance of Sodium‐Ion Batteries via Anion‐Solvent Interactions

Advanced Functional Materials, EarlyView.
DOL is introduced into electrolytes as a co‐solvent, increasing slat solubility, ion conductivity, and the de‐solvent process, and forming an anion‐rich solvent shell due to its high interaction with anion. With the above virtues, the batteries using this electrolyte exhibit excellent cycling stability at low temperatures. Abstract Sodium‐ion batteries
Cheng Zheng, Qian Yao, Yanan Sun, Hongyu Lv, Zhongchao Bai, Guoliang Zhang, Nana Wang, Jian Yang   +7 more
wiley   +1 more source

Mathematical modelling of ion diffusion and state of charge prediction in sodium ion batteries with time series analysis. [PDF]

Sci Rep
S S, Srivastava N, Hristov J.
europepmc   +1 more source