Inverse Design of Nanoparticulate Materials
Inverse design shifts nanomaterial development from empirical trial‐and‐error to predictive model‐driven strategies. It can rely on knowledge‐based, data‐based, or hybrid process and property functions. This perspective article provides a practical framework for applying inverse design based on instructive examples. It discusses which modeling approach
Nabi Etienne Traoré +5 more
wiley +1 more source
Dual Randomness From Spatial and Temporal Variations in Stochastic Zinc Gallate Nanoclusters for PUF and TRNG Co-Driven Image Generation. [PDF]
Kang S +6 more
europepmc +1 more source
Self‐invalidating multilayer physical unclonable functions (PUFs) integrate fingerprint‐like metal nanopattern bilayers from block copolymer templates with highly reactive reduced graphene oxide (rGO) interlayers. This tamper‐responsive architecture blocks all unauthorized physical and chemical replication attempts while autonomously deactivating ...
Gyu Hui Jo +7 more
wiley +1 more source
An Efficient Estimation Method for Longitudinal Data Using Bayesian Conditional Transformation Models. [PDF]
Piccirilli GP, Branco MD, Bazán JL.
europepmc +1 more source
Giant Anisotropic Spin Absorption in Chiral Hybrid Semiconductors
Researchers uncover that chiral hybrid organic–inorganic semiconductors absorb spin differently depending on its polarization direction. This anisotropic spin absorption is primarily driven by the local symmetry breaking within the layered structure.
Cong Yang +12 more
wiley +1 more source
Population-level variation shapes West Nile virus transmission potential in the Culex pipiens complex mosquitoes. [PDF]
Giayetto O +5 more
europepmc +1 more source
Controlled Growth of Boron Nitride in Various Phases
Phase‐selective boron nitride growth is presented as a unified materials‐design problem across hexagonal, rhombohedral, cubic, and amorphous phases. By linking synthesis routes to thermodynamic stability, kinetic accessibility, surface diffusion, interfacial templating, and energetic activation, this review clarifies how bonding and stacking are ...
Pan Wu +6 more
wiley +1 more source
pFOS-LA: a modified vector for production of random shear fosmid libraries
Jonathan L. Longmire, Nancy C. Brown
doaj +1 more source
Circ-EnviroPredict: A machine learning-based tool to predict potential involvement of circRNAs with cold and drought stress through a Word2Vec approach. [PDF]
Martins Ferreira MC, Kremer FS, Galli V.
europepmc +1 more source

