Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers
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
A Scalable and Resource‐Efficient Pipelined p‐Computer for Probabilistic Ising Machines
(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
Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy
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
On Hamiltonian and Symplectic Lanczos Processes
Large sparse Hamiltonian eigenvalue problems arise in a variety of contexts. These problems can be attacked directly, or they can rst be transformed to problems having some related structure, such as symplectic or skew Hamiltonian. In the interest of
David Watkins
core
On the stability of equilibria in degenerate periodic Hamiltonian systems. [PDF]
Xue N.
europepmc +1 more source
Near-Frustration-Free Electronic Structure Hamiltonian Representations and Lower-Bound Certificates. [PDF]
Rubin NC, Low GH, DePrince Iii AE.
europepmc +1 more source
Modeling and Control Design of Port-Hamiltonian Systems in Discrete-Time. [PDF]
Macchelli A.
europepmc +1 more source
We computationally investigate the mechanical, electronic, and optical properties of strained GeSn microdisks on silicon substrates. By combining photo‐elasticity, strain‐dependent band‐structure calculations, and optical mode analysis, we study how strain distribution, structural configuration, and temperature affect the electronic band structure and ...
Jon Schlipf +5 more
wiley +1 more source
Aliphatic chains as physical realizations of one-dimensional spin chains supporting magnetically silent spin waves. [PDF]
Sheberstov KF.
europepmc +1 more source
Neutrino Oscillation in a Minimal Length Spacetime
ABSTRACT We investigate how neutrino oscillations are modified in a non‐commutative spacetime characterized by a minimal length scale, described by the Quesne–Tkachuk algebra. By incorporating the algebra's deformation parameter β$$ \beta $$ into the effective neutrino mass, we derive the two‐flavor oscillation probability in this non‐commutative ...
Luísa Nadal‐Camargo +3 more
wiley +1 more source

