Results 221 to 230 of about 105,358 (314)
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
Enhancing deep chemical reaction prediction with advanced chirality and fragment representation. [PDF]
Mastrolorito F +3 more
europepmc +1 more source
Current‐Driven Nonreciprocal Response of Nonequilibrium Skyrmions
A skyrmion holds great promise for spintronic applications owing to its intrinsic topological stability and high mobility under ultra‐low current excitation. Here, by means of in situ electron microscopy, we demonstrate a skyrmion diode effect and the associated current‐driven nonreciprocal skyrmion dynamics in a designed FeGe‐based microdevice.
Xiuzhen Yu +10 more
wiley +1 more source
A comprehensive dataset of customer behavior in Latin American Fintech: 12-month transactional and demographic data for churn analysis. [PDF]
Muñoz-Guerrero LE +2 more
europepmc +1 more source
Mathematical optimisation model for searching duplicate string objects in the memory snapshot
H. R. N., Nikolay Mitikov
openalex +1 more source
Pellet Printing for Soft Robotic Devices
Fused Granulate Fabrication (FGF) is established here as a reliable method for fabricating soft, airtight robotic devices. Through coordinated optimization of hardware, material selection, and process parameters, this approach enables high‐speed printing of thermoplastic elastomers with silicone‐like softness and modulus.
Yijia Wu +6 more
wiley +1 more source
ChemGraph as an agentic framework for computational chemistry workflows. [PDF]
Pham TD, Tanikanti A, Keçeli M.
europepmc +1 more source
Diagnostic Map of Constraint-Coupled Vacua in String-Inspired Models
Elias De Jesus
openalex +1 more source
It is currently not well understood how cells regulate basic properties, e.g., volume and mechanics within dense multicellular environments like tumors. Here, we show that different cell types of cancer and also normal cells largely decrease their nuclear and cellular volumes in emerging cell clusters and that this is partly driven by cell cycle shifts.
Vaibhav Mahajan +13 more
wiley +1 more source

