Results 131 to 140 of about 376,528 (290)

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 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

Characterizing Biopolymer Electrolytes in Zinc–Air Batteries: Challenges, Best Practices, and a Robust Workflow Guiding Future Research Paths

Advanced Energy Materials, EarlyView.
Bio‐based gel polymer electrolytes promise sustainable, mechanically adaptable zinc–air batteries, yet their progress is constrained by inconsistent characterization. This review critically links formulation, structure, interfaces, and cell performance, identifies methodological gaps under alkaline operating conditions, and proposes application ...
Matteo Milanesi, Hiba Ali, Barbara Belza, Mattia F. Palermo, Claudio Gerbaldi, Giuseppe Antonio Elia, Nagore Ortiz‐Vitoriano   +6 more
wiley   +1 more source

Flow dynamics and pressure modulation in a patient-specific upper airway using a pulsating nasal jet. [PDF]

Sci Rep
Muhammad Aseem, Sundström E, Oren L.
europepmc   +1 more source

Computation of vortex breakdown

, 1994
Vortex breakdown is a deceptively simple looking, complex and poorly understood phenomenon. According to Benjamin (1962), vortex breakdown or bursting is an abrupt and drastic change of structure which sometimes occurs in swirling flows.
Mudkavi, Vidyadhar Y
core  

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

Kibble-Zurek mechanism and beyond in a holographic superfluid disk. [PDF]

Nat Commun
Xia CY, Zeng HB, Grabarits A, Del Campo A.   +3 more
europepmc   +1 more source

Inviscid Vortex Breakdown in Decelerated Swirling Flows and Flow Control Methods

The paper is focused on decelerated swirling flow behavior as the upstream swirl intensity is increased. We define simplified flow model and boundary conditions in order to analyze the basic flow features.
Anton, Ioan, Muntean, Sebastian, Avellan, François, Hasmatuchi, Vlad, Bernad, Sandor, Susan-Resiga, Romeo   +5 more
core  

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

Reconfigurable Magnetic Nanopore Platform for Selective Trapping. [PDF]

Small Sci
Sanamreddy NR, Maunier J, Veedu MK, Sapunova A, Maccaferri N, Garoli D, Wenger J, Vavassori P.   +7 more
europepmc   +1 more source