Results 101 to 110 of about 6,044 (253)

Measuring the Hall Effect in Hysteretic Materials

Advanced Materials, EarlyView.
The authors highlight common pitfalls in measuring the Hall effect: in hysteretic magnets, improper data processing can create signals that look exotic but are not real. This Perspective explains the origin of these artifacts and presents practical measurement strategies that help researchers identify reliable Hall responses in complex magnetic ...
Jaime M. Moya, Anthony Voyemant, Sudipta Chatterjee, Scott B. Lee, Grigorii Skorupskii, Connor J. Pollak, Leslie M. Schoop   +6 more
wiley   +1 more source

Phase Engineering of Atomically Precise Nanoclusters (APNCs) of Gold and Beyond

Advanced Materials, EarlyView.
Engineering the structural phase of materials is of paramount importance for both fundamental research and practical applications. In this Review, we summarize the recent progress in controlling the phases of atomically precise nanoclusters (APNCs) of gold, silver and copper, as well as bimetallic systems. The phase‐enabled material properties of APNCs
Yitong Wang, Avirup Sardar, Weijie Ji, Zhongyu Liu, Rongchao Jin   +4 more
wiley   +1 more source

Systemic Risk in the Lithium and Copper Value Chains: A Network-Based Analysis Using Euclidean Distance and Graph Theory

Commodities
The global push for electrification and decarbonization has sharply increased demand for critical raw materials—especially lithium and copper—heightening financial and strategic pressures on firms that lead these supply chains.
Marc Cortés Rufé, Yihao Yu, Jordi Martí Pidelaserra   +2 more
doaj   +1 more source

Recent Progress in the Phase‐Controlled Synthesis of Ruthenium Nanocrystals for Catalytic Applications

Advanced Materials, EarlyView.
Template effect and kinetic control enable crystal‐phase engineering of Ru nanocrystals, granting access to either metastable fcc‐Ru or stable hcp‐Ru with distinct surface structures, thermal stabilities, and catalytic behaviors. Moreover, the hcp‐Ru can further serve as an epitaxial template to direct Pd and Rh nanocrystals into the metastable hcp ...
Jianlong He, Zhiqi Wang, Jiaqi Guan, Younan Xia   +3 more
wiley   +1 more source

Predicting financial reports fraud by machine learning: the proxy of auditor opinions

Cogent Business & Management
This study examines the effectiveness of various machine learning algorithms in detecting financial report fraud among firms listed on the Ho Chi Minh City and Hanoi stock exchanges.
Cuong Nguyen Thanh, Tam Phan Huy
doaj   +1 more source

A Geometrically Transient Platform for Bioelectronic Implants

Advanced Materials, EarlyView.
Minimally invasive bioelectronic implants often compromise performance for smaller sizes. To resolve this optimization dilemma, a wireless bioelectronic implant with a transient geometry is introduced (MiFi). The origami‐inspired device miniaturizes up to sixfold for syringe insertion and autonomously unfolds post‐implantation.
Selin Olenik, John D. Goodwin, Atharv Naik, Philip Coatsworth, Ioi Chit Cheung, Farbod Amirghasemi, Anies Sohi, Ehsan Abedi, Tayeb Tadlaoui, Maral P. S. Mousavi, Andriy S. Kozlov, Victoria Salem, Andrew S. Cowburn, Firat Guder   +13 more
wiley   +1 more source

Unveiling α‐MoO3 as a High‐Index, Low‐Loss Anisotropic Material: Bridging the Gap From Mid‐Infrared to Ultraviolet Nanophotonics

Advanced Materials, EarlyView.
α‐MoO3 is established as a high‐index, low‐loss anisotropic platform bridging mid‐infrared polaritonics and ultraviolet‐visible nanophotonics. Spectroscopic ellipsometry and calculations reveal refractive indices exceeding 3.9, with the largest in‐plane birefringence among transparent layered crystals at 425–500 nm, enabling zero‐order UV waveplates ...
Adilet N. Toksumakov, Dmitriy V. Grudinin, Georgy A. Ermolaev, Alexey P. Tsapenko, Anton A. Minnekhanov, Konstantin V. Kravtsov, Nikolay V. Pak, Arslan B. Mazitov, Andrey A. Vyshnevyy, Aleksandr S. Slavich, Ivan A. Kruglov, Gleb I. Tselikov, Aleksey V. Arsenin, Kostya S. Novoselov, Valentyn S. Volkov   +14 more
wiley   +1 more source

Invisible footprints, visible insights: machine learning reveals Scope 3 emissions

Frontiers in Sustainability
IntroductionScope 3 greenhouse gas emissions are critical to firms’ carbon footprints yet are often difficult to quantify due to limited direct data, motivating predictive modeling approaches.MethodsWe developed and compared four machine learning ...
Szu-Yung Wang, Nian-Zu Ye
doaj   +1 more source

Deterministic Nucleation of Nanocrystal Superlattices on 2D Perovskites for Light‐Funneling Heterostructures

Advanced Materials, EarlyView.
This work investigates the heterogeneous nucleation of CsPbBr3${\rm CsPbBr}_3$ nanocrystal superlattices along the faces of 2D PEA2PbBr4${\rm PEA}_2{\rm PbBr}_4$ layered perovskite microcrystals. Core–crown and core–shell heterostructure morphologies are obtained.
Umberto Filippi, Alexander Schleusener, Simone Lauciello, Roman Krahne, Dmitry Baranov, Liberato Manna, Masaru Kuno   +6 more
wiley   +1 more source

Bioinspired Adaptive Surfaces for Intelligent Liquid Manipulation: Progressing From Passive and Active to Hybrid Strategies

Advanced Materials, EarlyView.
This review examines passive, active, and hybrid liquid manipulation strategies, highlighting hybrid approaches as an emerging route to reconcile energy efficiency with adaptive control. By actively reconstructing passive surfaces to store programmable interfacial energy, hybrid systems enable flexible yet low‐power liquid transport, with perspectives ...
Jiaqi Miao, Yiyuan Zhang, Liqiu Wang, Alan C. H. Tsang   +3 more
wiley   +1 more source