Results 141 to 150 of about 15,677 (253)
Exceptional Antimodes in Multi‐Drive Cavity Magnonics
Driven‐dissipative cavity‐magnonics provides a flexible platform for engineering non‐Hermitian physics such as exceptional points. Here, using a four‐port, three‐mode system with controllable microwave interference, antimodes and coherent perfect extinction (CPE) are realized, enabling active tuning to antimode exceptional points.
Mawgan A. Smith +4 more
wiley +1 more source
ABSTRACT Chirally coupled magnetic tunnel junctions (MTJs) have been proposed as a route toward compact spin logic architectures. Micromagnetic simulations indeed show that chiral coupling between adjacent MTJs with perpendicular magnetic anisotropy (PMA) can be achieved through an in‐plane (IP) interconnection mediated by the Dzyaloshinskii–Moriya ...
Bob Vermeulen +14 more
wiley +1 more source
Chiral symmetry breaking and information accumulation in pre-biological protocell evolution. [PDF]
Konstantinov KK, Konstantinova AF.
europepmc +1 more source
Probing of Single‐Interface Dzyaloshinskii‐Moriya Interaction
Conventional measurements of the interfacial Dzyaloshinskii‐Moriya interaction (DMI) combine contributions from multiple interfaces, obscuring the intrinsic response of each interface. Here, we introduce a novel approach for directly probing single‐interface DMI by performing film growth and characterization entirely under vacuum. This approach reveals
Ji‐Sung Yu +10 more
wiley +1 more source
Chiral Symmetry Breaking in Colloidal Metal Nanoparticle Solutions by Circularly Polarized Light. [PDF]
Ghalawat M +11 more
europepmc +1 more source
Advancing Energy Materials by In Situ Atomic Scale Methods
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 +21 more
wiley +1 more source
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi +2 more
wiley +1 more source
MolMiner: Toward Controllable, Three‐Dimensional‐Aware, Fragment‐Based Molecular Design
MolMiner is a fragment‐based, geometry‐aware, and order‐agnostic generative model for molecular design with strong inductive biases. Using symmetry‐aware fragment assembly, dynamic three‐dimensional geometry, and multi‐property conditioning, MolMiner enables interpretable and controllable molecular generation.
Raul Ortega‐Ochoa +2 more
wiley +1 more source
The Scholl reaction of 1,3,6,8‐tetrakis(oligophenyl)‐appended carbazoles afforded stable NH‐containing helical nanographenes, which showed significant redshift and reversible on/off switching of CPL upon the addition of base and acid, respectively. Furthermore, excited‐state proton transfer occurred in dimethyl sulfoxide to generate anionic species ...
Chihiro Maeda +7 more
wiley +2 more sources
Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang +9 more
wiley +1 more source

