Results 221 to 230 of about 1,040,020 (296)

Advancing Energy Materials by In Situ Atomic Scale Methods

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss, Michael Seibt, Martin Wenderoth, Oliver Bünermann, Ole Bunjes, Till Domröse, Christian Eckel, Francesca Falorsi, Christoph Flathmann, Monica Kolek Martinez de Azagra, Matthias Krüger, Jonas Lindner, Tobias Meyer, Claus Ropers, Ulrich Ross, Kai Rossnagel, Sreeju Sreekantan Nair Lalithambika, Simone Techert, Georg A. Traeger, Cynthia Volkert, R. Thomas Weitz, Alec M. Wodtke   +21 more
wiley   +1 more source

Wave packets, "negative times" and the elephant in the room. [PDF]

Sci Rep
Sokolovski D, Matzkin A.
europepmc   +1 more source

Comparative Insights and Overlooked Factors of Interphase Chemistry in Alkali Metal‐Ion Batteries

Advanced Energy Materials, EarlyView.
This review presents a comparative analysis of Li‐, Na‐, and K‐ion batteries, focusing on the critical role of electrode–electrolyte interphases. It especially highlights overlooked aspects such as SEI/CEI misconceptions, binder effects, and self‐discharge relevance, emphasizing the limitations of current understanding and offering strategies for ...
Changhee Lee, Zachary T. Gossage, Shinichi Kumakura, Shinichi Komaba   +3 more
wiley   +1 more source

InGaP/GaAs/InGaAs Multijunction Flexible Photovoltaics With Chemical Robustness and Radiation Hardness for Unassisted Electrocatalysis and Space Applications

Advanced Energy Materials, EarlyView.
A flexible InGaP/GaAs/InGaAs triple‐junction platform encapsulated with ultrathin glass enables unassisted electrocatalysis and space applications by providing robust protection against chemically aggressive and radiation‐rich environments. This work establishes a unified III–V multijunction photovoltaic platform that bridges space photovoltaics and ...
Sukkyu Hong, Seungwan Woo, Hoki Son, Hyun‐Beom Shin, Eungbeom Yeon, Jeongeun Mo, Daehwan Jung, Ho Won Jang, Ho Kwan Kang, Sung‐Min Lee, Won Jun Choi   +10 more
wiley   +1 more source

Experimentally Determined Spatiotemporal Charge Carrier Dynamics for the Development of Particulate Photocatalysts

Advanced Energy Materials, EarlyView.
This review looks at the different experimental techniques that measure spatiotemporal charge carrier dynamics. This information is viewed in the context of particulate photocatalysts, outlining the insights these techniques provide and how they advance our understanding.
Sutripto Khasnabis, Robert Godin
wiley   +1 more source

Exchange-mediated spin-electric control of single molecules on surfaces. [PDF]

Nat Phys
Greule P, Huang W, Stark M, Au-Yeung KH, Schwenk J, Reina-Gálvez J, Sürgers C, Wernsdorfer W, Wolf C, Willke P.   +9 more
europepmc   +1 more source

Quantum Tunnelling to the Origin and Evolution of Life. [PDF]

Curr Org Chem, 2013
Trixler F.
europepmc   +1 more source

Toward Capacitive In‐Memory‐Computing: A Device to Systems Level Perspective on the Future of Artificial Intelligence Hardware

Advanced Intelligent Discovery, EarlyView.
Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj, Ella Paasio, Sayani Majumdar   +2 more
wiley   +1 more source

A novel scanning tunnelling microscope head with a double-piezo-tube nested scanner for operation in a vibrational magnet. [PDF]

J Microsc
Dong S, Wang J, Wu D, Hou Y, Lu Q.
europepmc   +1 more source

AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

Advanced Intelligent Discovery, EarlyView.
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath, Shauryaraj K. Jilkar, Aditya Udgaonkar, Yu (Joe) Lu, Ali Mesbah   +4 more
wiley   +1 more source