Results 251 to 260 of about 222,230 (325)

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

Explorations in Quantum Error Correction and Simulation of Topological Phases

Kamal, Helia
openalex   +1 more source

Author Correction: Collapse of density wave and emergence of superconductivity in pressurized-La4Ni3O10 evidenced by ultrafast spectroscopy. [PDF]

Nat Commun
Xu S, Wang H, Huo M, Hu D, Wu Q, Yue L, Wu D, Wang M, Dong T, Wang N.   +9 more
europepmc   +1 more source

Synthetic Surface Design of Transparent Electrodes for Enhanced Molecular Contact in Perovskite Solar Cells

Advanced Energy Materials, EarlyView.
A simple solution‐based ITO surface treatment unlocks the full potential of phosphonic‐acid SAMs by balancing surface hydroxylation, conductivity, and homogeneity. Moderately hydroxylated interfaces yield uniform, electronically favourable contacts, enhancing charge extraction, stability, and thermal‐cycling resilience, with broad applicability across ...
Rik Hooijer, Sunwoo Kim, Sebastian Klenk, Hao Zhu, Cem Yilmaz, Yenal Yalcinkaya, Doyun Im, Anna S. Backeberg, Jian Huang, Meriem Bouraoui, Ali Buyruk, Esma Ugur, Clément Maheu, Achim Hartschuh, Frédéric Laquai, Lukas Schmidt‐Mende, Georg S. Duesberg, Sangwook Lee, Erkan Aydin   +18 more
wiley   +1 more source

Author Correction: Blue organic light-emitting diode with a turn-on voltage of 1.47V. [PDF]

Nat Commun
Izawa S, Morimoto M, Fujimoto K, Banno K, Majima Y, Takahashi M, Naka S, Hiramoto M.   +7 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

Memory–Aware Quantum Error Correction Control:

Lahtee, Yaoharee
openalex   +1 more source

Fault-tolerant bosonic quantum error correction with the surface-GKP code

, 2019
Kyungjoo Noh, Christopher Chamberland
openalex   +1 more source

Challenges and enablers in fluidization technology

AIChE Journal, EarlyView.
Abstract Gas–solid fluidized beds provide excellent heat and mass transfer for high‐throughput operations from coating to catalytic conversion and underpin emerging low‐carbon technologies. Yet industrial reliability, scale‐up, and control lag scientific understanding, particularly as finer, stickier, and more variable feedstocks increasingly challenge
J. Ruud van Ommen, Jia Wei Chew
wiley   +1 more source

RETRACTION: A Retina‐Inspired Optoelectronic Synapse Using Quantum Dots for Neuromorphic Photostimulation of Neurons

Advanced Science, EarlyView.
wiley   +1 more source