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
Copulae of probability measures on product spaces
It has been proved (Sklar, 1959, Publ. Inst. Statist. Univ. Paris 8 229-231) that any multivariate distribution function depends on its arguments only through its marginal distributions.
Scarsini, Marco
core
[O─I─O]+ Halogen‐Bonded Complexes of Pyridine N‐Oxides
The missing puzzle of 3‐center‐4‐electron halogen‐bonded complexes viz. [O─I─O]+ of pyridine N‐oxides are structurally characterized by x‐ray diffraction. Monodentate N‐oxide O‐atom acts as the halogen bond acceptor. Their solution complexations are characterized by 15N NMR spectroscopy.
Rakesh Puttreddy +3 more
wiley +2 more sources
MFDR-DTI: Multisource Feature Decoupling and Dual-Level Reorganization Fusion for Accurate Drug-Target Interaction Prediction. [PDF]
Xie D, Yu X, Zeng Y, Dai Q.
europepmc +1 more source
Abstract Premise The modern distribution of the southern cypresses, Callitroideae (Cupressaceae), reflects a classic Gondwanan distribution. The initial diversification of Callitroideae is estimated to have occurred during the Cretaceous, yet fossils from this period are rare, hampering our understanding of its early evolutionary history.
Kelly C. Pfeiler +5 more
wiley +1 more source
NMR screening is a powerful method for hit detection in drug‐discovery. We designed and validated the OpenFL600 19F$^{19}{\rm F}$ NMR library to probe diverse targets, including RNA, GPCRs, kinases, and proteases. This library yields target‐specific ligands without generating promiscuous binders.
Simon H. Rüdisser +16 more
wiley +2 more sources
Multi-objective node placement optimization in multiplex 6G wireless networks using quantum-inspired evolutionary algorithms. [PDF]
Vs D, Reddy SS, Patro KAK, Das SR.
europepmc +1 more source
Network Analysis-Driven Machine Learning Model for Identifying High-Cost Stroke Inpatients Using Hospital Discharge Data: Retrospective Study. [PDF]
Shen H +5 more
europepmc +1 more source
The two dragons of cognition: recursive condensation for predictive processing. [PDF]
Li X.
europepmc +1 more source
Phase-Space Approach for Topological Phase Transitions in Silicene. [PDF]
Kalka M, Pigoń P, Spisak BJ.
europepmc +1 more source

