Results 81 to 90 of about 8,946 (169)

Amorphous π‐Conjugated Passivator Facilitates Widening Process Window for Reliable Perovskite Solar Modules

Advanced Energy Materials, EarlyView.
A wide process window is essential for the commercialization of perovskite photovoltaics. Here, we demonstrate an amorphous π‐conjugated passivator having an asymmetric mono‐iodine substituent on a carbazole moiety imparts a high dipole moment, desirable molecular energy levels, and high thickness tolerance, thereby enabling a wide process window in ...
Hyun Seo Kim, Young Yun Kim, Hyejin Na, You‐Hyun Seo, Sung Jae Na, Seulyi Lee, Mingi Kang, Jinuk Jang, Daehyeok Kim, Yeonkyeong Ju, So‐Min Yoo, Jae Yong Park, Bong Joo Kang, Geun Ho Gu, Tae Joo Shin, Jaemin Lee, Nam Joong Jeon, Eui Hyuk Jung   +17 more
wiley   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Suppression of Peierls Instability in a Metal−Halide Porous Framework

Angewandte Chemie, EarlyView.
Peierls distortion in one‐dimensional Pt‐I chains is suppressed by confinement within the periodic electrostatic environment of a porous Cu–I framework. X‐ray crystallography shows equivalent Pt–I distances without bond alternation, and conductivity of the Pt‐I chains is greatly enhanced.
Ning Zhou, Yangbo Zhang, Ying‐Fan Tan, Qingyun Wan   +3 more
wiley   +2 more sources

Plan meta-objective for sub-micron quantitative phase imaging. [PDF]

Light Sci Appl
Wang J, Sun J, Li J, Huang C, Ji J, Shen W, Wang Z, Zhou J, Chen C, Zhu S, Li T.   +10 more
europepmc   +1 more source

Pt Single‐Atom Catalysts on FTO for Optically Invisible pH‐Universal Hydrogen Evolution Electrodes

Advanced Energy Materials, EarlyView.
Comparison of the overpotential (η) at 10 mA cm−2 in acidic electrolyte of Pt SA on FTO (this work) and other literature. ABSTRACT Transparent hydrogen‐evolution electrodes are essential for photoelectrochemical and optoelectronic energy‐conversion devices, yet typically suffer from a trade‐off between catalytic activity and optical transmission. Here,
Jihyeon Kim, Xin Zhou, Dmitry E. Doronkinb, Bidyut Bikash Sarmac, Ana S. Dobrota, Natalia V. Skorodumova, Igor A. Pašti, Jochen Schmidt, Patrik Schmuki   +8 more
wiley   +1 more source

Carbon‐Encapsulated Gemini Ionic Liquid as Advanced Bromine Hosts for High‐Performance Zn–Br2 Batteries

Angewandte Chemie, EarlyView.
Rapid self‐discharge limits the practical deployment of Zn–Br2 batteries. Herein, a gemini ionic liquid featuring dual bromine‐binding sites and an aromatic linker is confined within porous carbon electrodes. The ionic liquid simultaneously complexes bromine species and interacts strongly with the carbon matrix, enabling efficient bromine retention ...
Vishwakarma Ravikumar Ramlal, Elayaperumal Sujithkrishnan, Langyuan Wu, Sakengali Kazhiyev, Subramanian Sowmya, Pradip Mamilwad, Sagiv Weintraub, Amey Nimkar, Zhou Yu, Daniel Sharon, Netanel Shpigel   +10 more
wiley   +2 more sources

DeepInMiniscope: Deep learning-powered physics-informed integrated miniscope. [PDF]

Sci Adv
Tian F, Mattison B, Yang W.
europepmc   +1 more source

Data‐Driven High‐Throughput Volume Fraction Estimation From X‐Ray Diffraction Patterns

Advanced Intelligent Discovery, EarlyView.
Long exposure times and the need for manual evaluation limit the use of X‐ray diffraction in high‐throughput applications. This study presents a data‐driven approach addressing both issues. HiVE (a method for High‐throughput Volume fraction Estimation) performs composition estimation for high‐noise XRD patterns produced using polychromatic emission ...
Hawo H. Höfer, André Orth, Robert Wang, Ben Breitung, Simon Schweidler, Jasmin Aghassi‐Hagmann, Markus Reischl   +6 more
wiley   +1 more source

Hydrogen-Free APCVD Synthesis of Heterophase WSe₂ Nano-Butterflies for Room Temperature NO₂ Detection: Experimental and Computational Insights. [PDF]

Small Sci
Rizu MI, Patra A, Annanouch FE, Todorović M, Fadil D, Llobet E.   +5 more
europepmc   +1 more source

OXidative Stress PREDictor: A Supervised Learning Approach for Annotating Cellular Oxidative Stress States in Inflammatory Cells

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
OxSpred, an eXtreme‐Gradient‐Boosting‐‐based supervised learning model, accurately annotates oxidative stress in innate immune cells at the single‐cell level, providing interpretable embeddings with significant biological relevance. This innovative tool revolutionizes the understanding of innate immune cell functions during inflammation and enhances ...
Po‐Yuan Chen, Tai‐Ming Ko
wiley   +1 more source