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Multimedia component 1. S1. Costs used for LCCA calculations S2. Details of the modelling approach used in the dynamic part of the study S2.1. Parameters used for finding a Pareto frontier using gamultiobj Matlab function S2.2. Physical parameters of the components used for the calculations and modelling in this study, Peer reviewed

Comparison of Π–A isotherms recorded with SDS and d-SDS, electrophoretic mobility and binding isotherms of PEI/SDS solutions at pH 4 and 10, and application of identical 5- and 6-layer models to full-Qz NR data., Peer reviewed

The Supplemental Material contains the following sections: -RESISTIVITIES OF THE DIFFERENT ELECTRODES IN THE Py/Cu/W LSV -STEM CHARACTERIZATION OF THE Cu/W INTERFACE -STOICHIOMETRIC COMPOSITION OF THE WOx LAYER -3D FEM SIMULATION FOR THE WOx RESISTIVITY -DERIVATION OF THE SPIN SIGNAL AND THE SPIN ABSORPTION IN A LSV -SPIN PROPERTIES OF THE Py AND Cu -SPIN DIFFUSION LENGTH FOR BULK SPIN ABSORPTION -DERIVATION OF THE SPIN-CHARGE SIGNAL IN A LSV -SHUNTING FACTOR IN THE Cu/WOx/W HETEROSTRUCTURE USING A 3D FEM SIMULATION -REPRODUCIBLE SPIN-TO-CHARGE INTERCONVERSION IN DIFFERENT DEVICES -CONTROL SPIN-CHARGE INTERCONVERSION EXPERIMENT IN Cu/SiO2, Peer reviewed

STM/STS data of additional dimers on Ag(111), spin density and Kondo map of 1+, large-scale images of fused products on Au(111), tip-induced deprotonation experiments of 4, resonance structures of 3 and 4, molecular orbitals of 2, density of states for 2, 3, and 4 adsorbed on Au(111), molecular orbitals of 3+ and 4+, comparative Kondo resonances of the various probed molecules, STS point spectra and experimental and simulated conductance maps of 4+, STM and STS analysis of trimers, relaxed structures of molecules adsorbed on Au(111), calculated molecular orbitals of 2+, STS point spectra, conductance maps, and molecular orbitals of 4″+, frontier molecular orbitals of 4″ before and after charge transfer, methods description of STM measurements, and DFT calculations., Peer reviewed

Excel file including volatile compounds data in abundance units and in ng/g of sample, calculated odor actcvity values (OAV) and microbial data as log cfu/g of analyzed samples., This study assessed the effect of replacing pork lard with coconut oil and Debaryomyces hansenii inoculation on the biotransformation of amino acids into volatile compounds in a meat model system. Yeast counts, solid-phase microextraction, and gas chromatography/mass spectrometry were used to assess yeast growth and volatile production, respectively. Yeast growth was confirmed until 28 d, although the volatile profile changed until 39 d. Forty-three volatiles were quantified, and their odor activity values (OAVs) were calculated. The presence of fat and yeasts contributed to differences in volatiles. In pork lard models, a delayed formation of lipid-derived aldehyde compounds was observed, whereas in coconut oil models, the generation of acid compounds and their respective esters was enhanced. Yeast activity affected amino acid degradation, which produced an increase in branched-chain aldehydes and alcohols. The aroma profile in the coconut models was influenced by hexanal, acid compounds, and their respective esters, whereas in pork lard models, aroma was affected by methional (musty, potato) and 3-methylbutanal (green, cocoa). The yeast inoculation contributed to the generation of 3-methylbutanoic acid (cheesy) and phenylethyl alcohol (floral). The type of fat and yeast inoculation produced a differential effect on the aroma., This research was funded by MCIU/AEI/10.13039/501100011033 (Grants PID2021-122581OB-100 and CEX2021-001189-S) from Spain, and financial support was given to Lei Li from the Henan University of Animal Husbandry and Economy in China., Peer reviewed

Figure S1 - QCM-D overtones plots for SLB formation with HKM and HKT buffer Figure S2 - QCM-D overtones plots for SLB formation with variable PIP2 % Figure S3 - QCM-D overtones plots for SLB with PIP2 and CD4 Figure S4 - ΔD versus Δf/n plots of SLB Figure S5 - Voigt-Voinova fitting Figure S6 - Lipid composition of unilamellar lipid vesicles for SLB formation Figure S7 - DLS particle size distribution profile for the conversion of MLV into SUV Figure S8 - Z-potential of lipid vesicles for SLB formation Table S1 - Lipid composition of unilamellar lipid vesicles for SLB formation Table S2 - Fitted parameters for NR data analysis Table S3 - Fixed parameters for NR data analysis Table S4 - DLS size and polydispersity index for the conversion of MLV into SUV Table S5 - DLS size and polydispersity index of the vesicles used for SLB formation, Peer reviewed

1. Large-scale morphology of 1T-TaSe2/1H-TaSe2 heterobilayers 2. Temperature-dependent low-energy electronic structure 3. Lower and upper Hubbard band in 1T-TaSe2 on 1H-TaSe2 4. The 1H-TaSe2/BLG substrate 5. Uncertainty band of Δ 6. Measurement of the non-linear behavior of Δ with the magnetic field 7. Absence of magnetism in single-layer TaSe2 8. Band structure calculations and estimate of Kondo hybridization 9. References, Peer reviewed

The supplemental material is organized as follows. In Section S1, we provide the details of the derivations of the parameter Γ, describing the magnetoelectric effect, for magnetic impurities in Rashba superconductors and superconducting Dirac systems. We consider two cases: in one case, the size of the magnetic impurity is comparable with the coherence length and hence the induced exchange field can be treated as homogeneous; in the other case, the magnetic impurity is point-like and the induced exchange field has a form of a delta-function. In Section S2, we provide the details of the derivation of the superconductivity-induced magnetic interaction. In Section S3, we show that in the limiting case where the current-induced magnetic field can be neglected, we reproduce the previous result of Ref. [15] (in the main text) in the absence of a magnetic field. Finally, in Section S4, we present a microscppic analysis of the surface of iron-based superconductor with a Dirac band., Supplementary material includes the derivations of Γ parameters in different systems, the derivations of the superconductivity-induced magnetic interaction, a comparison with the previous work, and a microscopic analysis of Fe(Se,Te)., Peer reviewed

The crystal structure (POSCAR format) of the heterostructre studied in the manuscript entitled "First-principles design of ferromagnetic monolayer MnO$_2$ at the complex interface" that is currently under review at Physica Scripta. These structures have been relaxed with VASP code., Peer reviewed

Theory and Simulation S1. Molecular Optomechanical Theory S1.1 Approximations in the Description of Molecular Optomechanical Interactions S1.2 Expressions for the SERS Spectra S1.3 Expressions for the Vibrational Population and Correlation S2. DFT Calculations of Raman-active Molecular Vibrational Modes S3. Plasmonic Response of the NPoM Nanocavity S3.1 Dyadic Green’s Function of Metal-Insulator-Metal Structure S4. Optomechanical Parameters: Vibrational Frequency Shift, Damping, Pumping, and Coupling Parameters S5. Simulations of the Experimental Results S5.1 Collective Vibrational Modes in SERS Spectrum S5.2 Evolution of the SERS signal with Increasing Laser Intensity S5.3 Dependence of the SERS signal on Molecular Positions S5.4 Dependence of the SERS signal on the Number of Molecules S6. Comparison of Continuum-field Model with Single-mode Model S7. Effective Description of Raman Lineshift and Analytic Estimates S8. Raman Redshift Contributions from Local Dipoles and NPoM Modes S9. Raman Redshift from Vibrational Anharmonicity, Supplementary Experimental Data S10. NPoM In-coupling Correction S11. Raw Data of Individual NPoMs S12. Reversibility of Saturation and Damage S13. Vibrational Pumping and Non-equilibrium Temperatures S14. SERS Saturation of Other Molecules S15. Additional Picocavity Data References, Peer reviewed