Results 81 to 90 of about 13,837 (237)

Application of the FFLUX Force Field to Molecular Crystals: A Study of Formamide. [PDF]

J Chem Theory Comput, 2023
Brown ML, Skelton JM, Popelier PLA.
europepmc   +1 more source

Analysis of the Impact of Volt/VAR Control on Harmonics Content and Alternative Harmonic Mitigation Methods

Energies
This article presents information about harmonic distortion and resonance in distribution networks. The theory behind harmonics and resonance is presented. Examples from the literature and the results of power quality measurements, as well as the authors’
Krzysztof Lowczowski, J. Gielniak, Z. Nadolny, Magdalena Udzik   +3 more
semanticscholar   +1 more source

Toward Predictive Theory in Single‐Atom Catalysis

Advanced Science, EarlyView.
A lifecycle‐oriented framework reframes modeling in single‐atom catalysis. By combining ensemble‐based descriptions with explicit validation against experimental observables, the approach defines the scope of theory across catalyst synthesis, activity, stability, and safety, clarifying where quantitative insight is possible and where interpretation ...
Andrea Ruiz‐Ferrando, Sharon Mitchell, Núria López, Javier Pérez‐Ramírez   +3 more
wiley   +1 more source

Boosting Sensory Nerve‐to‐Bone Interactions Enhances Hedgehog Mediated Calvarial Bone Repair

Advanced Science, EarlyView.
Boosting sensory nerve activity via TrkA agonism strongly accelerates calvarial bone repair in adult mice. Furthermore, single‐cell RNA sequencing and neuron–bone interactome analyses identify these sensory neurons as a direct neural source of Hedgehog pathway ligands. Consequently, these ligands drive osteoblast differentiation of skeletal progenitors,
Zhao Li, Xin Xing, Beicheng Du, Myles Zhou, Austin Z. Chen, Mary Archer, Chunbao Rao, Manyu Zhu, Masnsen Cherief, Aaron W. James   +9 more
wiley   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Extended spherical harmonic expansion using multipolar bases of equivalent magnetic sources on arbitrary surfaces

Compel
Purpose The purpose of this paper is to propose a compact model to represent the magnetic field outside the sources. This model provides the multipolar ordering of a spherical harmonic expansion far from the source while being valid in its close ...
Gauthier Derenty-Camenen, Alexis Lepot, O. Chadebec, O. Pinaud, L. Rouve, S. Zozor   +5 more
semanticscholar   +1 more source

Assessing Photovoltaic Recycling Capacities and Policy Gaps in the European Union

Advanced Energy and Sustainability Research, EarlyView.
This study maps photovoltaic recycling capacity in the EU and key global regions, highlighting gaps between growing waste volumes and available infrastructure. It combines survey insights and policy analysis to identify recycling bottlenecks and offers recommendations to boost circularity in the solar sector.
Nieves Espinosa, Silvia Bobba, Cynthia E. L. Latunussa, Enrica Leccisi   +3 more
wiley   +1 more source

Wine Tourism as a Catalyst for Sustainable Performance: The Mediating Role of Corporate Legitimacy and Green Innovation

Agribusiness, EarlyView.
ABSTRACT This study aims to explore the influence of Wine Tourism (WT) on the Sustainable Performance (SP) of wineries in Spain. It particularly investigates how Corporate Social Legitimacy (CSL) and Green Innovation (GI) may act as intermediary factors in this relationship.
Javier Martínez‐Falcó, Eduardo Sánchez‐García, Bartolomé Marco‐Lajara, Luis A. Millán‐Tudela   +3 more
wiley   +1 more source

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source