Results 161 to 170 of about 469,475 (238)

Nickel‐Free Perovskite Solar Cells Enabled by Self‐Assembled Monolayers: A Pathway to Efficient and Recyclable Devices

Advanced Energy Materials, EarlyView.
Replacing toxic NiOx with phenyl‐substituted phosphonic‐acid carbazole monolayers (Ph‐5PACz) yields inverted perovskite solar cells that are efficient and recyclable. The nickel‐free interface reaches 25.3% efficiency and enables closed‐loop ITO recovery with near‐98% performance retention, while life‐cycle and techno‐economic analyses confirm lower ...
Yanxue Wang, Roman Kučera, Sinuhé Perea‐Puente, Mykhailo Sytnyk, Andrew Hainer, Zijian Peng, Savannah Bennett, Juan S. Rocha‐Ortiz, Albert These, Hakan U Dag, Qi Fan, Anastasia Barabash, Zhenni Wu, Chaohui Li, Jens Hauch, Olga Kasian, Christoph J. Brabec, Ian Marius Peters   +17 more
wiley   +1 more source

Fluxional Halogen Bonds Versus Interlayer Stacking - Theory Meets Experiment. [PDF]

Chemistry
Gao CY, Schmidt A, Wang R, Strohmann C, Englert U, Li SD.   +5 more
europepmc   +1 more source

Redefining Decoupled Water Electrolysis as an Integrated Hydrogen‐Carrier Platform

Advanced Energy Materials, EarlyView.
This Perspective focuses on transportable solution‐phase proton‐coupled mediators and evaluates them using carrier‐level capacity, retention, energy, release, pressure, purity, and closed‐loop logistics boundaries; solid and device‐bound systems are shown as explicit boundary cases.
Junghye Lee, Kwang Min Kim, Seongbin Ga, Hyeonmyeong Oh, Jungki Ryu   +4 more
wiley   +1 more source

Halogen bonds between ligands and proteins: Can we use them in validation? [PDF]

Protein Sci
de Vries I, Tsiompanaki G, Perrakis A, Joosten RP.   +3 more
europepmc   +1 more source

Overcoming Perovskite Corrosion and De-Doping Through Chemical Binding of Halogen Bonds Toward Efficient and Stable Perovskite Solar Cells. [PDF]

Nanomicro Lett, 2022
Ren G, Han W, Zhang Q, Li Z, Deng Y, Liu C, Guo W.   +6 more
europepmc   +1 more source

Synergistic Fluoride and Polymer‑Regulated Interfacial Engineering of NiFe‑LDH Anodes for Ampere‑Scale Natural Seawater Electrolysis

Advanced Energy Materials, EarlyView.
Schematic comparison of optimized F–NiFe–LDH and conventional NiFe–LDH electrodes during alkaline natural seawater oxygen evolution. The synergistic (poly)CM protective layer and fluoride‐mediated passivation suppress metal leaching, mitigate chloride‐induced corrosion, and regulate surface reconstruction, preserving catalyst integrity beyond 1000 h ...
Xiang Li, Nafeesa Sarfraz, Yi Ding, Imran Mahmood Khan, Shahid Iqbal, Muhammad Sajjad, Sanghyuk Wooh, Ibrahim Khan   +7 more
wiley   +1 more source

A Designed, Highly Efficient Pyrrolysyl-tRNA Synthetase Mutant Binds o-Chlorophenylalanine Using Two Halogen Bonds. [PDF]

J Mol Biol, 2022
Vatansever EC, Yang KS, Geng ZZ, Qiao Y, Li P, Xu S, Liu WR.   +6 more
europepmc   +1 more source

Stress‐Regulated Li Plating in Hybrid Ag–Carbon/Carbon Nanofiber Anodes for Durable All‐Solid‐State Batteries

Advanced Energy Materials, EarlyView.
Hybrid Ag–C/CNF anodes enable stress‐regulated operation of high‐loading solid‐state batteries by coupling uniform Li nucleation with mechanically compliant Li accommodation. The Ag–C interlayer homogenizes deposition, while the porous CNF framework buffers volumetric strain.
Junhee Kang, Tae Young Lee, Jeongvin Park, Hong Rim Shin, Dong Seok Kim, Jieun Lee, Hun‐Gi Jung, Jeong‐Hee Choi, Jong‐Won Lee   +8 more
wiley   +1 more source

Halogen Bonds under Electric Field with Quantum Accuracy and Relativistic Basis Sets. [PDF]

J Phys Chem A
Ottanà G, Mastronardo S, Eminger P, Mráziková K, Trusso S, Saija F, Ferus M, Monsù Scolaro L, Xie J, Tommasini M, Cassone G.   +10 more
europepmc   +1 more source

Deep Learning–Based Extraction of Promising Material Groups and Common Features from High‐Dimensional Data: A Case of Optical Spectra of Inorganic Crystals

Advanced Intelligent Discovery, EarlyView.
We report a novel interpretation method for deep learning models based on feature extraction and clustering. Applying this method to an atomistic line graph neural network (ALIGNN) model trained on optical absorption spectra of 2,681 inorganic compounds obtained from first‐principles calculations, we successfully identify key factors underlying ...
Akira Takahashi, Yu Kumagai, Arata Takamatsu, Fumiyasu Oba   +3 more
wiley   +1 more source