Results 151 to 160 of about 44,794 (286)

Dynamic Proton Activity Regulation via Brønsted Bases Enables Durable and High‐Energy‐Density Zn||MnO2 Batteries

Advanced Functional Materials, EarlyView.
Our study demonstrates Brønsted base‐mediated proton transfer for HOAc dissociation regulation in weakly acidic electrolytes, where imidazole achieves optimal dynamic proton equilibrium‐simultaneously stabilizing Zn anodes and enabling efficient Mn2+/MnO2 conversion.
Wenli Xin, Yu Xiong, Cong Liao, Po Lu, Zhe Wang, Jun Fan, Chunyi Zhi, Nan Li   +7 more
wiley   +1 more source

Enhanced spectro-temporal feature extraction for prosthetic control using variational mode decomposition. [PDF]

Sci Rep
Shafiq U, Waris A, Amin F, Ullah A, Ashraf H, Khan MJ, Ijaz MA, Hazzazi F, Ansari K, Gilani SO.   +9 more
europepmc   +1 more source

Solvent Co‐Intercalation Enabled Ca Storage in MoS2 for Ca‐Ion Batteries

Advanced Functional Materials, EarlyView.
Regulating electrolyte solvation levels enables otherwise non‐intercalatable Ca2+ ions to reversibly co‐intercalate into molybdenum disulfide (MoS2) as ether‐solvated species. The intercalation reversibility is strongly governed by solvent chain length, as demonstrated using diethylene glycol dimethyl ether (G2) and tetraethylene glycol dimethyl ether (
Yudong Luo, Matthias Golomb, Yupei Han, Pan He, Neubi Xavier, Wanjun Ren, Yi Lu, Matthew Hopper, Henry R. Tinker, Qiong Cai, Yang Xu   +10 more
wiley   +1 more source

Orthogonalized Variational Mode Decomposition

Signal Processing
Himpu Marbona, Daniel Rodríguez, Alejandro Martínez-Cava, Eusebio Valero   +3 more
openaire   +1 more source

Residual‐Lithium‐to‐LiF Conversion Enables a LiF–Fluorinated Carbon Interphase for Reconstruction‐Resistant Ni‐Rich Cathodes

Advanced Functional Materials, EarlyView.
A fluorine‐rich acrylate monomer (PFHEA) was solvent‐free applied to NCM90 and thermally decomposed under Ar to convert residual lithium into LiF and form a pre‐built LiF/fluorinated amorphous carbon (LiF/FC) interphase. The LiF/FC layer suppresses NiO rock‐salt reconstruction and microcrack propagation, lowers interfacial resistance, and improves Li ...
Pangyu Kim, Juyeon Han, Junhyeok Kim, Younghoon Kim, Eunha Seo, Dain Kim, Jeeyoung Yoo   +6 more
wiley   +1 more source

A Hybrid Model for Copper Futures Price Forecasting Utilizing Complexity-Aware Variational Mode Decomposition and Reconstruction and Multi-Behavior-Triggered Interaction Modeling. [PDF]

Entropy (Basel)
Li Y, Liu D.
europepmc   +1 more source

Dual‐Mode Magnetic Elastomer for On‐Demand Motion and Degradation

Advanced Functional Materials, EarlyView.
A dual‐mode magnetic elastomer is introduced, enabling DC field‐driven programmable actuation and AC field‐driven magnetothermal degradation. GHz‐range magnetic fields generate ultrafast heating of magnetic nanoparticles that activates cleavage of the silicone elastomer matrix.
Jieun Han, Hyun An, Min‐Ha Oh, Yu‐Lim Lee, Woojin Jeon, Kyung‐Sub Kim, Jae‐Hwan Lee, Seungmin Kang, Yoon‐Nam Kim, Ji‐Won Kang, Daewhan Kim, Min Sang Kwon, Sang‐Koog Kim, Seung‐Kyun Kang   +13 more
wiley   +1 more source

Deep Learning Method Based on Multivariate Variational Mode Decomposition for Classification of Epileptic Signals. [PDF]

Brain Sci
Zhang S, Liu G, Sun S, Cai J.
europepmc   +1 more source

Titanium Suboxides Responsible for Electronic Anomaly Near Room Temperature in the Ti3C2Tx MXene

Advanced Functional Materials, EarlyView.
Our multi‐technique study reveals that the near‐room‐temperature anomaly in Ti3C2Tx MXene is linked to titanium suboxide nanodomains, including Ti3O5, embedded within the MXene host. Their temperature‐driven transformation provides an alternative explanation to solvent‐ and swelling‐based models and offers new insight into the thermally activated ...
Bence G. Márkus, Bradlee J. McIntosh, Lili Vajtai, Anna Nyáry, Sándor H. Sipos, Nirmal J. Ghimire, Ferenc Simon, László Forró, Dávid Beke   +8 more
wiley   +1 more source

Towards intelligent air quality forecasting using integrated machine learning framework with variational mode decomposition and catboost feature selection. [PDF]

Sci Rep
Ahmadianfar I, Yaseen ZM, Marhoon HA, Halder B, Tan ML, Kilinc HC, Abba SI, Heddam S, Goliatt L, Demir V, Al-Areeq AM.   +10 more
europepmc   +1 more source