Results 161 to 170 of about 3,767,744 (333)
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Curvature‐tuned auxetic lattices are designed, fabricated, and mechanically characterized to reveal how geometric curvature governs stretchability, stress redistribution, and Poisson's ratio evolution. Photoelastic experiments visualize stress pathways, while hyperelastic simulations quantify deformation mechanics.
Shuvodeep De +3 more
wiley +1 more source
Correction: The specious art of single-cell genomics.
[This corrects the article DOI: 10.1371/journal.pcbi.1011288.].
PLOS Computational Biology Staff
doaj +1 more source
In this study, the interplay of dipolar dynamics and ionic charge transport in MOF compounds is investigated. Synthesizing the novel structure CFA‐25 with integrated freely rotating dipolar groups, local and macroscopic effects, including interactions with Cs cations are explored.
Ralph Freund +6 more
wiley +1 more source
Correction: When Less Is More: Non-monotonic Spike Sequence Processing in Neurons. [PDF]
PLOS Computational Biology Staff
doaj +1 more source
Correction: Synthetic method of analogues for emerging infectious disease forecasting.
[This corrects the article DOI: 10.1371/journal.pcbi.1013203.].
PLOS Computational Biology Staff
doaj +1 more source
Analyzing Electronic Excitations and Exciton Binding Energies in Y6 Films
The Y6 molecule is used for increasing the efficiency of organic solar cells. The exciton binding energy is calculated for ensembles of Y6 molecules that are representative of the typically used films. The calculations show that the excitons typically spread out over many molecules.
Sahar Javaid Akram +2 more
wiley +1 more source
A novel phthalocyanine (PC)‐based metal–organic framework (MOFs) is synthesized using ditopic PC linkers obtained through regioselective statistical condensation. The resulting MOF exhibits significant improvements in electronic absorption, thereby enhancing the material's performance in light harvesting and energy conversion.
Lukas S. Langer +12 more
wiley +1 more source
Toward predictive R-loop computational biology: genome-scale prediction of R-loops reveals their association with complex promoter structures, G-quadruplexes and transcriptionally active enhancers [PDF]
Vladimir A. Kuznetsov +4 more
openalex +1 more source
A conversation with ChatGPT on the role of computational systems biology in stem cell research
P. Cahan, Barbara Treutlein
semanticscholar +1 more source

