Results 121 to 130 of about 11,779 (265)

A review of metallurgical processing and value-added utilization strategies for zinc oxide. [PDF]

Sci Prog
Zhang Y, Ma Z, Gu X, Jia S, An X, Niu M, Zha X, He R, Deng R.   +8 more
europepmc   +1 more source

Stability of PEA2PbBr4 Thin‐Film Photodetectors under Thermal and Moisture Stress

Advanced Electronic Materials, EarlyView.
This study investigates the environmental durability of 2D perovskite photodetectors under extreme heat and humidity. While pristine films degrade in harsh environmental conditions, adding a halogen‐bonding agent significantly improves stability. This passivated device maintains stable performance in conditions mimicking space and solar applications ...
Sara Cepić, Andrea Ciavatti, Enrico Gianfranco Campari, Beatrice Fraboni   +3 more
wiley   +1 more source

Halogen-dependent electronic regulation of reactivity and acetylcholinesterase recognition in halomethyl acetates: a predictive DFT-docking framework. [PDF]

J Comput Aided Mol Des
Dahham Abed Abed M, M Saeed Younus Tahhan O, Muhsin Mohammed Youns Fto A, Kebiroğlu MH, Bulut N.   +4 more
europepmc   +1 more source

High‐Detectivity InGaAs/GaAsP Superlattice PIN Photodetector with a Thin Absorber on GaAs substrate for 1100 nm Applications

Advanced Electronic Materials, EarlyView.
A high‐performance strain‐compensated InGaAs/GaAsP superlattice SWIR photodetector was successfully grown by MOCVD on a scalable 100 mm GaAs platform. Combining excellent structural quality with strong optoelectronic performance, the device delivers a low dark current density of 2.3 × 10−7 A/cm2 and a detectivity of 1.9 × 1011 Jones at 1100 nm ...
Rémy Tribout, Alexis Palais, Driss Mouloua, Mickael Martin, Frédérique Ducroquet, Sébastien Cavalaglio, Badreddine Smiri, Jeremy Da Fonseca, Jeremy Moeyaert, Clara Cornille, Franck Bassani, Charles Leroux, Veronika Letka, Vita Mergner, David Cooper, Evan Oudot, Christophe Duluard, Sophie Barbet, Christophe Jany, Thierry Baron   +19 more
wiley   +1 more source

Impact of Single Halogen Atom Substitutions on Antiviral Profile of Inhibitors Targeting SARS-CoV‑2 Main Protease. [PDF]

ACS Omega
Bulut H, Higashi-Kuwata N, Ogata-Aoki H, Hayashi H, Takamune N, Kishimoto N, Das D, Li M, Wlodawer A, Misumi S, Tamamura H, Mitsuya H.   +11 more
europepmc   +1 more source

Sulfide‐Based Electrolytes for All‐Solid‐State Sodium Batteries

Advanced Energy Materials, EarlyView.
This review covers the structural features and synthesis strategies of sulfide‐based solid electrolytes, as well as critical challenges related to conductivity, interfacial and moisture stability, and scaling‐up for practical application in Sodium‐based All Solid‐State Batteries.
Han Yang, Luca Weckelmann, Baolin Wu, Chih‐Long Tsai, Luc Raijmakers, Rüdiger‐A. Eichel, Anna Windmüller   +6 more
wiley   +1 more source

An Undergraduate Chemistry Experiment Integrating Theoretical and Practical Aspects of Hypervalent Iodine(I) Compounds. [PDF]

J Chem Educ
Kolesnichenko VL, Goloverda GZ.
europepmc   +1 more source

Multiscale Perspectives on Perovskite Instability: From Atomistic Deformation to Device Degradation in Perovskite Solar Cells

Advanced Energy Materials, EarlyView.
Multiscale perspectives on how excess charges in soft lead halide perovskites induce operational instability in photovoltaic devices are presented. Localized carriers formed under thermodynamic non‐equilibrium states modify atomistic interactions and drive lattice distortions, accelerating device degradation.
Joo‐Hong Lee, Donghyeon Lee, Seoyoon Lee, Jin‐Wook Lee, Mansoo Choi, Min‐cheol Kim, Namyoung Ahn   +6 more
wiley   +1 more source

Single-Atom Tuning of Structural and Optoelectronic Properties in Halogenated Anthracene-Based Covalent Organic Frameworks. [PDF]

ACS Omega
Paliušytė K, Fuchs L, Xu Z, Liu K, Roztocki K, Sun S, Zipse H, Hartschuh A, Ortmann F, Schneider J.   +9 more
europepmc   +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