Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation
Advanced Intelligent Systems, EarlyView.Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison +4 more
wiley +1 more source
Angewandte Chemie, EarlyView.The cobalt(II) bis(trifluoroacetylcamphorate) scaffold exhibits versatile coordination chemistry with solvent‐driven ligand exchange and geometrical rearrangements, associated with unique chiroptical properties. Microcrystalline suspension of [Co(tfc)2(CH3CN)2] revealed the largest VCD dissymmetry factor ever reported (g ≈ 0.2 at 1600 cm−1), arising ...
Gianmarco Papi +4 more
wiley +2 more sources
Near-Frustration-Free Electronic Structure Hamiltonian Representations and Lower-Bound Certificates. [PDF]
J Chem Theory ComputRubin NC, Low GH, DePrince Iii AE.
europepmc +1 more source
Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers
Advanced Intelligent Systems, EarlyView.Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica +38 more
wiley +1 more source
Geometric Phase-Induced Stückelberg Interference in an Optical Lattice Clock. [PDF]
Entropy (Basel)Liu WX, Lu ZP, Wang T.
europepmc +1 more source
A Scalable and Resource‐Efficient Pipelined p‐Computer for Probabilistic Ising Machines
Advanced Intelligent Systems, EarlyView.(a) Block diagram of the portfolio optimization problem: given M assets, the goal is to determine the optimal weights w that maximize the expected return (based on the mean historical assets return u), while minimizing the risk, quantified by the assets covariance matrix S.
Deborah Volpe +9 more
wiley +1 more source
Up to 16% Optical Carbon‐13 Hyperpolarization of Donor–Acceptor Molecules at 14.1 T
Angewandte Chemie, EarlyView.Up to 16% 13C nuclear polarization is achieved using a rationally designed photo‐CIDNP polarizing agent (PA) in magic‐angle‐spinning NMR experiments at 14.1 T. The PA was designed using a combination of theoretical photocycle calculations and magnetic field dependent experiments to identify important new design principles.
Marcel Levien +10 more
wiley +2 more sources
Quantum Speed Limits and the Ultimate Scaling of the Quantum Sensors. [PDF]
Entropy (Basel)Maleki Y.
europepmc +1 more source
Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy
Advanced Intelligent Systems, EarlyView.This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne +5 more
wiley +1 more source
Symplectic Method Analysis of the Thermal Buckling Behavior of Graphene Origami-Reinforced Composite Beams. [PDF]
Nanomaterials (Basel)Zhu Z, Zhao M, Zhao N, Zhou Y, Du H.
europepmc +1 more source