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From Methane to Methanol: Pd-iC-CeO2 Catalysts Engineered for High Selectivit...
In the pursuit of selective conversion of methane directly to methanol in the liquid phase, a common challenge is the concurrent formation of undesirable liquid oxygenates or... -
A deep learning dataset for metal multiaxial fatigue life prediction
In this work, we present a comprehensive dataset designed to facilitate the prediction of metal fatigue life using deep learning techniques. The dataset includes detailed... -
Orbital-resolved DFT+U for molecules and solids
We present an orbital-resolved extension of the Hubbard U correction to density-functional theory (DFT). Compared to the conventional shell-averaged approach, the prediction of... -
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Optical materials discovery and design with federated databases and machine l...
Combinatorial and guided screening of materials space with density-functional theory and related approaches has provided a wealth of hypothetical inorganic materials, which are... -
Synchronized crystallization in tin-lead perovskite solar cells
Tin-lead halide perovskites with a bandgap near 1.2 electron-volt hold great promise for thin-film photovoltaics. However, the film quality of solution-processed Sn-Pb... -
Critical step in the HCl oxidation reaction over single-crystalline CeO2−x(11...
The catalytic oxidation of HCl by molecular oxygen (Deacon process) over ceria allows the recovery of molecular chlorine from omnipresent HCl waste produced in various... -
Scaling relations and dynamical predictiveness of electric dipole strength on...
Efficient O₂ reduction to H₂O₂, vital for energy conversion and environmental cleanup, relies on precise control of heterogeneous catalysts interacting with reaction species.... -
2D pentagonal-graphene and pentagonal-silicene sheets engineered for the dete...
The deposited structure models of DNA adsorbed on prisitne PG/p-Si and metal (Au/W) doped PG/p-Si sheets, have been subjected to first principles calculations based on DFT... -
Phonon-limited mobility for electrons and holes in highly-strained silicon
Strain engineering is a widely used technique for enhancing the mobility of charge carriers in semiconductors, but its effect is not fully understood. In this work, we perform... -
Machine learning potential for the Cu-W system
Combining the excellent thermal and electrical properties of Cu with the high abrasion resistance and thermal stability of W, Cu-W nanoparticle-reinforced metal matrix... -
Phonon-limited mobility for electrons and holes in highly-strained silicon
Strain engineering is a widely used technique for enhancing the mobility of charge carriers in semiconductors, but its effect is not fully understood. In this work, we perform... -
Engineering frustrated lewis pair active sites in porous organic scaffolds f...
Frustrated Lewis pairs (FLPs), featuring reactive combinations of Lewis acids and Lewis bases, have been utilized for myriad metal-free homogeneous catalytic processes.... -
High-throughput thiophene adsorption calculations on bimetallic surfaces
We present a large dataset of density functional theory calculations of thiophene (C4H4S) adsorbed on metallic and bimetallic (100) surfaces performed in Quantum Espresso. In... -
Inverse design of singlet fission materials with uncertainty-controlled genet...
Singlet fission has shown potential for boosting the power conversion efficiency of solar cells, but the scarcity of suitable molecular materials hinders its implementation. We... -
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This record was removed upon request from the authors who had identified errors in it. -
Charge state-dependent symmetry breaking of atomic defects in transition meta...
The functionality of atomic quantum emitters is intrinsically linked to their host lattice coordination. Structural distortions that spontaneously break the lattice symmetry... -
Automated prediction of ground state spin for transition metal complexes
Predicting the ground state spin of transition metal complexes is a challenging task. Previous attempts have been focused on specific regions of chemical space, whereas a more... -
Designing bifunctional perovskite catalysts for the oxygen reduction and evol...
The development of unified regenerative fuel cells (URFC) necessitates an active and stable bifunctional oxygen electrocatalyst. The unique challenge of possessing high activity...