Results 201 to 210 of about 2,491,078 (295)
In situ PXRD data on solvothermal reactions accelerate materials discovery while simultaneously providing fundamental insights into complex crystal formation processes. Using PdxMy (M = Si, Ge, Sn, Pb) as an example, a general formation mechanism is identified, and specific synthesis strategies for ex situ preparation of SnPd2, Sn13Pd20, and SnPd ...
Anders Bæk Borup +1 more
wiley +1 more source
Giant Anisotropic Spin Absorption in Chiral Hybrid Semiconductors
Researchers uncover that chiral hybrid organic–inorganic semiconductors absorb spin differently depending on its polarization direction. This anisotropic spin absorption is primarily driven by the local symmetry breaking within the layered structure.
Cong Yang +12 more
wiley +1 more source
Freespace "twistronics": moiré structured light for optical supertopologies. [PDF]
Dev V, Shen Y.
europepmc +1 more source
Helicity‐Defined Analog Conductance States in Chiral Perovskite Synapses
Chiral perovskite synapses convert the handedness of circularly polarized light into persistent analog memory during electrical programming. An optimized n = 3 structure combines strong helicity selectivity with low read noise, enabling 72 distinct conductance levels.
Min Jong Lee +16 more
wiley +1 more source
Rydberg-Atom-Based Angle-of-Arrival Estimation Method for Ku-Band Microwave Signals. [PDF]
Hu X +5 more
europepmc +1 more source
Demagnetization‐Driven Nanoscale Chirality‐Selective Phonon Transport
Chiral heat flow is switched in a ferromagnet/chiral α‐SiO2 heterostructure by controlling the angular momentum of demagnetization‐driven chiral phonons. When phonon handedness matches the crystal chirality, nanoscale thermal transport is enhanced; the opposite handedness suppresses transport, establishing a magnetization‐tunable chiral phonon diode ...
In Hyeok Choi +8 more
wiley +1 more source
Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng +24 more
wiley +1 more source
Structured multi-view relational learning for drug response prediction. [PDF]
Wang Z +5 more
europepmc +1 more source
Advances in Bio‐Integrated Edge Computing Systems for Smart and Connected Health
This review explores advances in bio‐integrated edge computing for healthcare, focusing on co‐designing computing, sensing, and energy strategies to overcome integration and power challenges for optimized, decentralized operation. ABSTRACT Recent advances in bio‐integrated healthcare technologies have enabled continuous, high‐resolution monitoring and ...
Gyuwon Kim +4 more
wiley +1 more source
Assisted Snapshot GNSS Position, Navigation, and Timing for LEO Satellites. [PDF]
Kim S +4 more
europepmc +1 more source

