Reinforced molecular dynamics: Physics-infused generative machine learning model simulates protein motion. [PDF]
Kolossváry I.
europepmc +1 more source
Stabilizing Atomically Dispersed Au With Adjacent Pt for Spatially Precise Molecule Recognition
A strategy to stabilize atomically dispersed Au catalysts by introducing Pt atoms into CeO2 supports is presented. Pt incorporation prevents Au aggregation, enhances Au‐O orbital coupling, and enables precise recognition of multi‐functionalized molecules, improving catalytic performance and the structural stability of Au‐based catalysts in ...
Rui Tang +12 more
wiley +1 more source
Electrostatic Aggregation of Charged, Polarizable Particles in Extreme Atmospheric Environments. [PDF]
Reeve CP +4 more
europepmc +1 more source
This work provides an effective strategy for selectively extracting 212Pb and 212Bi from the decay chain of 232Th as well as its mechanism illustration. Using the novel strategy, 2.07 MBq of 212Pb is successfully separated from 232Th and its daughters, which enables the supply of 212Pb/212Bi directly from the abundant natural thorium resource to be ...
Lifeng Chen +11 more
wiley +1 more source
CLCFM3: A 3D Reconstruction Algorithm Based on Photogrammetry for High-Precision Whole Plant Sensing Using All-Around Images. [PDF]
Hayashi A +4 more
europepmc +1 more source
Environmental Stability and Electronic Properties of Individual Flakes of Ti2CTx MXene
The paper presents a synthesis of large Ti2CTx MXene flakes with sizes reaching 40 µm and examines their environmental stability and electronic behavior. It demonstrates that monolayer flakes degrade rapidly in ambient conditions, leading to semiconducting‐like behavior with low conductivity and mobility. In contrast, multilayer flakes exhibit enhanced
Md. Ibrahim Kholil +5 more
wiley +1 more source
Missing interstellar sulfur in inventories of polysulfanes and molecular octasulfur crowns. [PDF]
Herath A +8 more
europepmc +1 more source
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source
CLEM-Reg: an automated point cloud-based registration algorithm for volume correlative light and electron microscopy. [PDF]
Krentzel D +8 more
europepmc +1 more source
Topological Materials and Related Applications
This review covers topological materials—including topological insulators, quantum valley Hall and quantum spin Hall insulators, and topological Weyl and Dirac semimetals—as well as their most recent advancements in fields such as spintronics, electronics, photonics, thermoelectrics, and catalysis.
Carlo Grazianetti +9 more
wiley +1 more source

